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BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240227T180000
DTEND;TZID=Europe/Zurich:20240227T193000
DTSTAMP:20260416T023732
CREATED:20240105T080743Z
LAST-MODIFIED:20240308T111522Z
UID:10000275-1709056800-1709062200@www.neuropac.info
SUMMARY:Aaron Spieler @ ONM - The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks
DESCRIPTION:From the Open Neuromorphic website. \nBiological cortical neurons are remarkably sophisticated computational devices\, temporally integrating their vast synaptic input over an intricate dendritic tree\, subject to complex\, nonlinearly interacting internal biological processes. \nWith the aim to explore the computational implications of leaky memory units and nonlinear dendritic processing\, we introduce the Expressive Leaky Memory (ELM) neuron model\, a biologically inspired phenomenological model of a cortical neuron. Remarkably\, by exploiting a few such slowly decaying memory-like hidden states and two-layered nonlinear integration of synaptic input\, our ELM neuron can accurately match the aforementioned input-output relationship with under ten-thousand trainable parameters. \nWe evaluate the model on various tasks with demanding temporal structures\, including the Long Range Arena (LRA) datasets\, as well as a novel neuromorphic dataset based on the Spiking Heidelberg Digits dataset (SHD-Adding). The ELM neuron reliably outperforms the classic Transformer or Chrono-LSTM architectures on these tasks\, even solving the Pathfinder-X task with over 70% accuracy (16k context length). \n\n\n\n\n\nAbout the Speaker\nAaron Spieler is a computational neuroscientist passionate about exploring the intersection of deep learning and neuroscience. After earning his Bachelor’s in Computer Science from the University of Potsdam\, he undertook an extended internship at Amazon Web Services working in deep learning based forecasting\, before further specializing with a Master’s in Computational Neuroscience at the University of Tübingen. Throughout his Master’s thesis and a subsequent internship at the Max Planck Institute for Intelligent Systems\, Aaron focused on phenomenological neuron modeling with applications to long-range prediction tasks. Pursuing this work allowed him to collaborate with excellent researchers from diverse backgrounds\, including Prof. Bernhard Schölkopf and Prof. Anna Levina.
URL:https://www.neuropac.info/event/aaron-spieler-onm-the-elm-neuron-an-efficient-and-expressive-cortical-neuron-model-can-solve-long-horizon-tasks/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240221
DTEND;VALUE=DATE:20240224
DTSTAMP:20260416T023732
CREATED:20231103T145110Z
LAST-MODIFIED:20231103T145110Z
UID:10000257-1708473600-1708732799@www.neuropac.info
SUMMARY:Neuronics 2024
DESCRIPTION:Neuronics Conference 2024\nBrain-inspired neuromorphic computing has emerged as a promising solution to overcome the computation bottlenecks in artificial intelligence (AI) applications. However\, traditional CMOS technologies\, which heavily relied on silicon\, face significant challenges such as volatility and energy inefficiency. These obstacles have hindered the rapid progress in the field. Thankfully\, recent developments in novel memory and memristive technologies\, have revitalized the pursuit of efficient and high-performance neuromorphic computing systems. \nThis conference aims to present the current status and cutting-edge advancements in the development of neuromorphic devices that emulate biological neural processes through device physics. A particular focus will be placed on memristive technologies as a promising devices for implementing various neuromorphic functions\, including artificial synapses\, neurons\, and dendrites. The different material platforms include conjugated polymers\, hydrogels\, nonmetal oxides\, correlated oxides\, transition metal oxides (TMOs)\, chalcogenides\, carbon-based materials\, phase change\, ferroelectric materials\, piezoelectric materials\,magnetics materials\, fluidics\, and nanocomposites. \nThe conference will also highlight the emerging fields of bioinspired ionotronics and mixed ionic-electronic-photonic materials. These areas focus on leveraging ionic motion and arrangement to control electronic properties and functions\, enabling the development of various functional devices. Topics of discussion will include electrolyte gating as an alternative to chemical doping\, organic and halide perovskites transistors\, various types of memristors\, ionic channels\, and their implications in the advancement of neuromorphic computing. \nResearchers will showcase circuits demonstrating full neuromorphic functionality\, such as unsupervised learning\, pattern recognition in neural networks\, and the neuroscientific aspects of artificial intelligence. Moreover\, the conference will explore the advancements in programmed/directed self-assembly and stimuli-responsive systems\, as well as their applications in smart sensing systems. These systems encompass a wide range of applications\, including optical sensing\, temperature sensing\, gas sensing\, strain sensing\, and more. The conference will also delve into haptic systems\, biosensors\, and image sensors\, exploring their integration with neuromorphic computing paradigms. \nThe conference will address the listed topics in an holistic view and joining together an interdisciplinary community from different research fields\, such as electronic\, materials science\, nanotechnology\, engineering\, computer science\, neurobiology\, computational neuroscience\, neural and biomedical-engineering. \nJoin us at this conference to engage in insightful discussions\, share knowledge\, and explore the exciting possibilities that brain-inspired neuromorphic computing and device physics offer for the future of artificial intelligence and computing systems.
URL:https://www.neuropac.info/event/neuronics-2024/
LOCATION:Valencia\, Valencia\, Spain
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240220
DTEND;VALUE=DATE:20240228
DTSTAMP:20260416T023732
CREATED:20231103T151303Z
LAST-MODIFIED:20231103T151303Z
UID:10000261-1708387200-1709078399@www.neuropac.info
SUMMARY:AAAI 2024
DESCRIPTION:38th Annual AAAI Conference on Artificial Intelligence\nThe purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers\, practitioners\, scientists\, students\, and engineers across the entirety of AI and its affiliated disciplines. AAAI-24 will feature technical paper presentations\, special tracks\, invited speakers\, workshops\, tutorials\, poster sessions\, senior member presentations\, competitions\, and exhibit programs\, and a range of other activities to be announced. \nWe expect for AAAI-24 to be an in-person conference – one author of all accepted papers will be expected to present work in person unless there are exceptional circumstances that prevent this. \n\n \n\n\n\n\n\n\nDriven by its disciplinary diversity\, AAAI has incubated numerous AI sub-disciplines and conferences and has nurtured for decades the cohesion of AI. New communities often emerge when two or more disciplines come together in order to explore new opportunities and perspectives; today\, both are plentiful. The purpose of this year’s Bridge Program is to tap into new sources of innovation by cultivating collaboration between two or more communities directed towards a common goal. Our interpretation of bridges is broad and encompasses disciplines within and outside of AI. Hence\, the communities that our Bridge Program is intended to bring together could be distinct subfields of AI\, such as planning and learning\, or different disciplines that contribute to and benefit from AI\, such as AI and the humanities.
URL:https://www.neuropac.info/event/aaai-2024/
LOCATION:Vancouver\, Canada\, Vancouver\, Canada
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240207T160000
DTEND;TZID=Europe/Amsterdam:20240207T170000
DTSTAMP:20260416T023732
CREATED:20240130T002332Z
LAST-MODIFIED:20240130T002332Z
UID:10000278-1707321600-1707325200@www.neuropac.info
SUMMARY:Mahyar Shahsavari @ ELLIS MeetUp Nijmegen: Revolutionizing Intelligence
DESCRIPTION:Title:\n“Revolutionizing Intelligence: Bridging Minds and Machines with Neuromorphic Computing” \nAbstract\nNeuromorphic event-driven systems emulate the computational mechanisms of the brain through the utilization of spiking neural networks (SNN). Neuromorphic systems serve two primary application domains: simulating neural information processing in neuroscience and acting as accelerators for cognitive computing in engineering applications.\nIn this seminar\, we delve into the core principles of neuromorphic paradigm. Mahyar will discuss how this innovative approach addresses the limitations of traditional AI models in computation\, ushering in a new era of efficiency\, adaptability\, and parallel processing.\nThe presentation highlights key advancements\, such as spiking neural networks and neuromorphic hardware\, demonstrating their pivotal role in achieving brain-like computation and real-time processing. In this seminar the potential applications in industry\, robotics\, edge computing and beyond will be discussed\, ultimately inviting the audience to envision a harmonious integration of minds and machines through the revolutionary lens of neuromorphic computing. \nMicrosoft Teams Seminar Link
URL:https://www.neuropac.info/event/mahyar-shahsavari-ellis-meetup-nijmegen-revolutionizing-intelligence/
LOCATION:Nijmegen\, Nijmegen\, Netherlands
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240205T180000
DTEND;TZID=Europe/Zurich:20240205T200000
DTSTAMP:20260416T023732
CREATED:20240105T080554Z
LAST-MODIFIED:20240105T080554Z
UID:10000274-1707156000-1707163200@www.neuropac.info
SUMMARY:Jens E. Pedersen @ ONM - NIR: A Unified Instruction Set for Brain-Inspired Computing
DESCRIPTION:Have you wondered how to use neuromorphic hardware platforms? \nAre you depressed by your power bill after you bought your >400W GPU rig? \nThen you came to the right place! \nIn this workshop\, we will show you how to move models from your favourite framework directly to neuromorphic hardware with 1-2 lines of code! We will present the technology behind\, the Neuromorphic Intermediate Representation \, and demonstrate how we can use it to run a live spiking convnet on the Speck chip. \nNIR is currently supported by Intel Loihi \, Speck \, SpiNNaker2 \, Xylo and a host of simulators\, including Norse \, snnTorch \, and Spyx . \nJoin us on the 5th of February to get your own hands-on experience with NIR and neuromorphic hardware! \nAll it requires is a computer and a bit of Python knowledge. \nAgenda: \n\n18:00 – 19:00: NIR introduction\n\nMotivation: coupling neuromorphic hardware and software\nDemonstrating NIR: from PyTorch to Speck\nQ&A\n\n\n19:00 – 20:00: Workshop\n\nHands-on experience with NIR via Jupyter Notebooks or custom models\nQ&A and collaborative discussions\n\n\n\nSpeakers: \n\nJens E. Pedersen \, PhD at the Neurocomputing Systems lab at KTH Royal Institute of Technology\, Sweden\n\nNote: The event will be hosted virtually. Stay tuned for the video link and further updates. \n\n\n\n\n\nAbout the Speaker\nJens is a computer scientist studying his PhD in neuromorphic computing at the KTH Royal Institute of Technology. Jens co-authored the Norse simulator and the AEStream event-based streaming library.
URL:https://www.neuropac.info/event/jens-e-pedersen-onm-nir-a-unified-instruction-set-for-brain-inspired-computing/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240125T180000
DTEND;TZID=Europe/Zurich:20240125T193000
DTSTAMP:20260416T023732
CREATED:20240105T080357Z
LAST-MODIFIED:20240105T080357Z
UID:10000273-1706205600-1706211000@www.neuropac.info
SUMMARY:Carlos Ortega-Otero @ ONM - IBM NorthPole: Neural Inference at the Frontier of Energy\, Space\, and Time
DESCRIPTION:Abstract \nComputing\, since its inception\, has been processor-centric\, with memory separated from compute. Inspired by the organic brain and optimized for inorganic silicon\, NorthPole is a neural inference architecture that blurs this boundary by eliminating off-chip memory\, intertwining compute with memory on-chip\, and appearing externally as an active memory chip. NorthPole is a low-precision\, massively parallel\, densely interconnected\, energy-efficient\, and spatial computing architecture with a co-optimized\, high-utilization programming model. \nOn the ResNet50 benchmark image classification network\, relative to a graphics processing unit (GPU) that uses a comparable 12-nanometer technology process\, NorthPole achieves a 25 times higher energy metric of frames per second (FPS) per watt\, a 5 times higher space metric of FPS per transistor\, and a 22 times lower time metric of latency. Similar results are reported for the Yolo-v4 detection network. \nNorthPole outperforms all prevalent architectures\, even those that use more-advanced technology processes. \nAbout the Speaker \n\n\n\n\n\nDr. Carlos Ortega-Otero is an Sr. Research Staff Member at IBM driven by a passion in Circuit Design\, Neuromorphic Chip Architectures\, Low-Power Circuits and Physical Design optimizations. He earned his Ph.D. from Cornell University under the guidance of Prof. Rajit Manohar. \nThroughout his career\, he has worked in groundbreaking projects\, including Ultra-Low Power Asynchronous Sensor Network nodes\, Medical Implantable Wireless Sensors\, The TrueNorth Brain-Inspired Chip\, and the NorthPole Project. At IBM\, Carlos works under the leadership of Dr. Dharmendra Modha in the Brain-Inspired Computing Group. \nHe plays key roles in Architecture\, Specification\, Digital Implementation\, Physical Design\, Timing Signoff\, and Manufacturing teams of the NorthPole Project. Carlos is proud to be part of the Brain-Inspired Computing Group at IBM that continues to shape the future of Integrated Circuits and AI.
URL:https://www.neuropac.info/event/carlos-ortega-otero-onm-ibm-northpole-neural-inference-at-the-frontier-of-energy-space-and-time/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240117
DTEND;VALUE=DATE:20240120
DTSTAMP:20260416T023732
CREATED:20231103T145351Z
LAST-MODIFIED:20231103T145351Z
UID:10000258-1705449600-1705708799@www.neuropac.info
SUMMARY:HiPEAC 2024
DESCRIPTION:19th International Conference on High Performance\, Edge And Cloud computing\nThe HiPEAC conference is the premier European forum for experts in computer architecture\, programming models\, compilers and operating systems for embedded and general-purpose systems. \nThe 19th HiPEAC conference will take place in Munich\, Germany from Wednesday 17 to Friday 19 January\, 2024. Associated workshops\, tutorials\, special sessions\, several large poster sessions and an industrial exhibition will run in parallel with the conference. The three-day event attracts over 500+ delegates each year. \nTopics of interest include\, but are not limited to:\n· Processor\, memory\, interconnect\, and storage architectures\n· Parallel\, multi-core and heterogeneous systems\n· Interconnection networks\n· Architectural support for programming productivity\n· Power\, performance and implementation efficient designs\n· Reliability and real-time support in processors\, compilers and run-time systems\n· Application-specific processors\, accelerators and reconfigurable processors\n· Architecture and programming environments for GPU-based computing\n· Architectural simulation and methodology\n· Architectural and run-time support for programming languages\n· Programming models\, frameworks and environments for exploiting parallelism\n· Program characterization and analysis techniques\n· Dynamic compilation\, adaptive execution\, and continuous profiling/optimization\n· Binary translation/optimization\n· Code size/memory footprint optimizations\n· Architectures for emerging technologies such as neuromorphic\, photonics\, quantum\, etc.\n· Machine learning applied to the above\n· Computing systems research from application studies
URL:https://www.neuropac.info/event/hipeac-2024/
LOCATION:Munich\, Munich\, Germany
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240115T180000
DTEND;TZID=Europe/Zurich:20240115T193000
DTSTAMP:20260416T023732
CREATED:20240105T080205Z
LAST-MODIFIED:20240105T080205Z
UID:10000272-1705341600-1705347000@www.neuropac.info
SUMMARY:Cristian Axenie @ ONM - Hybrid Learning for Event-Based Visual Motion Detection and Tracking of Pedestrians
DESCRIPTION:The Vision Zero Program’s purpose is to reduce traffic-related fatalities and serious injuries while promoting equitable\, safe\, and healthy mobility for all. Ultimately\, the challenge is to detect pedestrians during the day and especially at night in order to implement safety measures. \nThe current study introduces an award-winning low-power solution employing neuromorphic visual sensing and hybrid neuro-statistical processing developed by the Technische Hochschule Nürnberg team for the TinyML Vision Zero San Jose Competition. The solution proposes a novel neuromorphic edge fusion of spiking neural networks and event-based expectation maximization for the detection and tracking of pedestrians and bicyclists. \nWe provide a deployment-ready evaluation of the detection performance along with robustness\, energy footprint\, and weatherization while emphasizing the advantages of the neuro-statistical edge solution and its city-level scaling capabilities. \n\n\nAbout the Speaker\nDr. Axenie is Professor of Artificial Intelligence and Research Group Leader in Cognitive Neurocomputing at the Technische Hochschule Nürnberg Georg Simon Ohm in Germany. \nAfter earning a Dr. Eng. Sc. in Neuroscience and Robotics from the Technical University of Munich in 2016\, Dr. Axenie joined the Huawei Research Center in Munich. Between 2017 and 2023 Dr. Axenie was Staff Research Engineer with Huawei Research Center. At the same time\, Dr. Axenie was the Principal Investigator and Head of the Audi Konfuzius-Institut Ingolstadt Laboratory at the Technische Hochschule Ingolstadt. \nDr. Axenie is a seasoned researcher with more than 15 years of academic research and more than 10 years of industrial research experience. His research was disseminated in more than 50 peer-reviewed publications and more than 10 patents. Currently Dr. Axenie focuses on sustainable and efficient deployment of intelligent algorithms for sensor fusion and closed-loop control.
URL:https://www.neuropac.info/event/cristian-axenie-onm-hybrid-learning-for-event-based-visual-motion-detection-and-tracking-of-pedestrians/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231219T180000
DTEND;TZID=Europe/Berlin:20231219T193000
DTSTAMP:20260416T023732
CREATED:20231103T152925Z
LAST-MODIFIED:20231103T152925Z
UID:10000265-1703008800-1703014200@www.neuropac.info
SUMMARY:Brad Aimone @ ONM - Programming Scalable Neuromorphic Algorithms With Fugu
DESCRIPTION:From the Open Neuromorphic website \nExplore neural-inspired computing with Brad Aimone\, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.
URL:https://www.neuropac.info/event/brad-aimone-onm-programming-scalable-neuromorphic-algorithms-with-fugu/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231213T060000
DTEND;TZID=Europe/Berlin:20231213T080000
DTSTAMP:20260416T023732
CREATED:20231130T123001Z
LAST-MODIFIED:20231130T123015Z
UID:10000271-1702447200-1702454400@www.neuropac.info
SUMMARY:Kade Heckel @ ONM - Neuromorphic Hackathon with Spyx
DESCRIPTION:From the open-neuromorphic.org website: \nJoin us on December 13th for an exciting Spyx hackathon and ONM talk! Learn how to use and contribute to Spyx \, a high-performance spiking neural network library\, and gain insights into the latest developments in neuromorphic frameworks. The session will cover Spyx’s utilization of memory and GPU to maximize training throughput\, along with discussions on the evolving landscape of neuromorphic computing. \nDon’t miss this opportunity to engage with experts\, collaborate on cutting-edge projects\, and explore the potential of Spyx in shaping the future of neuromorphic computing. Whether you’re a seasoned developer or just curious about the field\, this event promises valuable insights and hands-on experience. \nAgenda: \n\n18:00 – 19:00: Spyx Introduction\n\nDive into Spyx\, its features\, and how to contribute\nHands-on session: Explore Spyx functionalities and tackle real-world challenges\nQ&A and collaborative discussions\n\n\n19:00 – 20:00: Hackathon\n\nCollaborate on cutting-edge projects and explore the potential of Spyx\nQ&A and collaborative discussions\n\n\n\nSpeakers: \n\nKade Heckel\n\nNote: The event will be hosted virtually. Stay tuned for the video link and further updates. Let’s come together to push the boundaries of neuromorphic computing!
URL:https://www.neuropac.info/event/kade-heckel-onm-neuromorphic-hackathon-with-spyx/
LOCATION:Online
CATEGORIES:Talk,Tutorial,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231211
DTEND;VALUE=DATE:20231214
DTSTAMP:20260416T023732
CREATED:20231006T163033Z
LAST-MODIFIED:20231006T163033Z
UID:10000247-1702252800-1702511999@www.neuropac.info
SUMMARY:NeuroEng Workshop @ Western Sydney University
DESCRIPTION:The International Centre for Neuromorphic Systems welcomes NeuroEng Association members and guests to join in a 3-day workshop focusing on computational neuroscience and neuromorphic engineering as well providing a valuable platform for networking and collaboration. \nHosted at the newly refurbished St George Sailing Club\, attendees will be treated to sensational waterfront views of the Georges River and the pristine beaches of the Sans Souci and Botany Bay region – a hidden gem known to locals. Furthermore\, guests can enjoy a number of local accommodation options as well as an array of activities in the area. \nPrepare for a workshop that combines cutting-edge knowledge sharing with the serenity of a beach setting. We look forward to welcoming you to the 2023 ICNS NeuroEng Workshop! \nCall for abstracts until October 31st\, 2023.
URL:https://www.neuropac.info/event/neuroeng-workshop-western-sydney-university/
LOCATION:St George Sailing Club\, 2 Riverside Drive\, Sans Souci\, Sydney\, NSW\, Australia
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231210
DTEND;VALUE=DATE:20231217
DTSTAMP:20260416T023732
CREATED:20231103T143805Z
LAST-MODIFIED:20231103T143805Z
UID:10000253-1702166400-1702771199@www.neuropac.info
SUMMARY:NeurIPS 2023
DESCRIPTION:Conference on Neural Information Processing Systems (NeurIPS) 2023\nNeurIPS 2023 will be held again at the at the New Orleans Ernest N. Morial Convention Center.\n\n\n\nThe conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks\, demonstrations\, symposia\, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice\, a series of tutorials\, and topical workshops that provide a less formal setting for the exchange of ideas.
URL:https://www.neuropac.info/event/neurips-2023/
LOCATION:New Orleans\, New Orleans\, LA\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231205T080000
DTEND;TZID=America/Los_Angeles:20231205T090000
DTSTAMP:20260416T023732
CREATED:20231130T122725Z
LAST-MODIFIED:20231130T122725Z
UID:10000270-1701763200-1701766800@www.neuropac.info
SUMMARY:Michael Jurado @ INRC - Enhancing Performance and Efficiency of SNNs
DESCRIPTION:Title:\nEnhancing Performance and Efficiency of SNNs: From Spike-Based Loss Improvements to Synaptic Sparsification Techniques. \nAbstract:\nThe introduction of offline training capabilities like Spike Layer Error Reassignment in Time (SLAYER) and advancements in the probabilistic interpretations of Spiking Neural Network (SNN) output reinforce SNNs as a viable alternative to Artificial Neural Networks (ANNs). However\, special care must be taken during Surrogate Gradient (SG) training to achieve desired performance and efficiency. This talk will cover our recent work in improving spike-based loss functions for SNNs as well as sparsifying SNNs for low cost\, high performant neuromorphic computing. \nSpikemax was previously introduced as a family of differentiable loss methods which use windowed spike counts to form classification probabilities. We modify the Spikemaxs loss method to use rates and a scaling parameter instead of counts to form Scaled-Spikemax. Our mathematical analysis shows that an appropriate scaling term can yield less coarse probability outputs from the SNN and help smooth the gradient of the loss during training. Experimentally\, we show that Scaled-Spikemax achieves faster training convergence than Spikemax and results in relative improvements of 4.2% and 9.9% in accuracy for NMNIST and N-TIDIGITS18\, respectively. We then extend Scaled-Spikemax to construct a spike-based loss function for multi-label classification called Spikemoid. The viability of Spikemoid is shown via the first known multi-label classification results on N-TIDIGITS18 and 2NMNIST\, a novel variation of NMNIST that superimposes event-driven sensory data. \nHowever\, SNNs trained through SG methods oftentimes use dense or convolutional connections which are not always suitable for Loihi2. In order to minimize core usage and power consumption on chip\, we employ synaptic pruning techniques as part of our SNN training pipelines. We demonstrate the effectiveness of synaptic pruning techniques for ANN to SNN conversion of vgg16 on Loihi1 as well as for a lava-dl trained SNN for the Intel DNS Challenge. This later approach involved the use of Gradual Magnitude Pruning (GMP) applied during SLAYER training\, which reduced the memory footprint of the baseline SDNN by 50-75%. We highlight infrastructure changes to netX which enable conversion of lava-dl trained SNNs into sparsity aware lava processes. \nMeeting link to join is available to INRC members and affiliates on the INRC Forum Schedule (click here). \nIf you are not yet a member of the INRC\, please see the “Joining the INRC link” below. \nBio: Michael Jurado is a research engineer at the Georgia Tech Research Institute. He studied computer science at Georgia Tech and received his master’s degree in Machine Learning in 2022. Lately\, Michael has been studying and developing neuromorphic algorithms for edge computing and a regular contributor to the lava code base. In his free time\, he likes to read and study languages. \n\n\n\n\n\n\n\n\nFor the recording and slides\, see the full INRC Forum 2023 Schedule (accessible only to INRC Affiliates and Engaged Members). \nIf you are interested in becoming a member\, here is the information about ”Joining the INRC.
URL:https://www.neuropac.info/event/michael-jurado-inrc-enhancing-performance-and-efficiency-of-snns/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231205
DTEND;VALUE=DATE:20231207
DTSTAMP:20260416T023732
CREATED:20231103T150634Z
LAST-MODIFIED:20231103T150634Z
UID:10000259-1701734400-1701907199@www.neuropac.info
SUMMARY:IEEE ICRC 2023
DESCRIPTION:The IEEE International Conference on Rebooting Computing is the premier venue for novel computing approaches\, including algorithms and languages\, system software\, system and network architectures\, new devices and circuits\, and applications of new materials and physics. This is an interdisciplinary conference that has participation from a broad technical community\, with emphasis on all aspects of the computing stack. \nIEEE ICRC 2023 is an in-person event with an option for virtual attendance. While all speakers will deliver their talks in-person\, attendees will have the option of attending the conference virtually. Check that option when you REGISTER! \nThe International Roadmap on Devices and Systems (IRDS) will also be featured at ICRC 2023 with talks from academia\, industry\, and government research centers spanning materials\, devices\, circuits\, and systems for computing.
URL:https://www.neuropac.info/event/ieee-icrc-2023/
LOCATION:San Diego\, San Diego\, CA\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231128T080000
DTEND;TZID=America/Los_Angeles:20231128T090000
DTSTAMP:20260416T023732
CREATED:20231130T122249Z
LAST-MODIFIED:20231130T122249Z
UID:10000269-1701158400-1701162000@www.neuropac.info
SUMMARY:Jannik Lubeoinski @ INRC - Brian2Lava: connecting the Brian 2 simulator to neuromorphic hardware
DESCRIPTION:Abstract:\nNeuromorphic hardware allows for fast and energy-efficient simulation of spiking neural networks. However\, the usage of such devices is still a challenge\, as it requires detailed knowledge about the neuromorphic hardware as well as the used software interface\, e.g.\, the Lava framework for neuromorphic computing spearheaded by Intel. This stands in contrast to the relative ease of simulating spiking neural networks on conventional CPU or GPU architectures\, for which user-friendly simulation environments exist. The Brian 2 simulator\, for instance\, allows to readily define a spiking neural network with a set of equations\, handling all subsequent hardware interactions. \nTo link the best of both worlds\, we are developing Brain2Lava. Brian2Lava combines the intuitive user interface of Brian 2 with the functionality of Lava. By means of a so-called device for Brian 2\, Brian2Lava seamlessly generates and executes the desired simulations in Lava without the need for users to write additional code. At the current stage\, Brian2Lava supports most Brian 2 features when executing Lava on CPU\, and a selection of essential features for the execution on Intel’s Loihi 2 chip. We are constantly working to expand the number of features supported with the chip\, aiming to enable to flexibly execute simulations on different hardware platforms. \nIn summary\, by bridging the gap between user-friendly model definition and neuromorphic implementation\, Brian2Lava empowers engineers and neuroscientists alike to leverage the potential of neuromorphic hardware with greater ease and efficiency. \nBio: Jannik Luboeinski is currently a postdoctoral researcher at University of Göttingen. He received his B.Sc. and M.Sc. degrees in Physics from Technical University of Darmstadt and Goethe University Frankfurt\, respectively. From 2017 to 2021\, he did his Ph.D. with Christian Tetzlaff at University of Göttingen\, investigating the role of two-phase synaptic plasticity in recurrent spiking neural networks\, which resulted in the publication of several journal papers. In 2021\, Dr. Luboeinski continued to work in the group of Professor Tetzlaff (now Computational Synaptic Physiology Group) as a postdoctoral researcher. A major aim of his research is to identify properties that enable efficient memory processes in biological and artificial neural systems. His work currently focuses on neuromorphic computing and the development of simulation software for recurrent spiking neural networks. \nMeeting link to join is available to INRC members and affiliates on the INRC Forum Schedule (click here). \nIf you are not yet a member of the INRC\, please see the “Joining the INRC link” below. \nFor the recording and slides\, see the full INRC Forum 2023 Schedule (accessible only to INRC Affiliates and Engaged Members). \nIf you are interested in becoming a member\, here is the information about ”Joining the INRC.”
URL:https://www.neuropac.info/event/jannik-lubeoinski-inrc-brian2lava-connecting-the-brian-2-simulator-to-neuromorphic-hardware/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231116T180000
DTEND;TZID=Europe/Berlin:20231116T190000
DTSTAMP:20260416T023732
CREATED:20231103T152759Z
LAST-MODIFIED:20231103T152928Z
UID:10000264-1700157600-1700161200@www.neuropac.info
SUMMARY:Timoleon Moraitis @ ONM - Making Neuromorphic Computing Mainstream
DESCRIPTION:From the Open Neuromorphic website \nJoin us for a workshop with Timoleon Moraitis\, research group leader in neuromorphic computing\, at the interface of computational neuroscience with artificial intelligence.
URL:https://www.neuropac.info/event/timoleon-moraitis-onm-making-neuromorphic-computing-mainstream/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231107
DTEND;VALUE=DATE:20231109
DTSTAMP:20260416T023732
CREATED:20230828T171403Z
LAST-MODIFIED:20230828T171403Z
UID:10000239-1699315200-1699487999@www.neuropac.info
SUMMARY:SNUFA Workshop 2023
DESCRIPTION:SNUFA is an online workshop and community focused on research advances in the field of “Spiking Networks as Universal Function Approximators”. The annual SNUFA online workshop brings together researchers in spiking neural networks to present their work and discuss translating these findings into a better understanding of neural circuits and novel brain-inspired computing approaches. Topics of interest include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. \nThe workshops are organised by Dan Goodman and Friedemann Zenke. \nRegister or submit on the website: https://snufa.net/2023/
URL:https://www.neuropac.info/event/snufa-workshop-2023/
LOCATION:Online
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231026
DTEND;VALUE=DATE:20231028
DTSTAMP:20260416T023732
CREATED:20230828T173423Z
LAST-MODIFIED:20230828T173423Z
UID:10000242-1698278400-1698451199@www.neuropac.info
SUMMARY:HBP Brain Innovation Days 2023
DESCRIPTION:The Brain Innovation Days bring the brain ecosystem together to foster dialogue\, exchange knowledge\, accelerate investment in research & innovation and facilitate business development. \nThe 3rd edition of the Brain Innovation Days will take place on 26-27 October 2023 in Brussels (Belgium) under the overarching theme “The Brain in the 21st Century”\, centred around building resilience and better brain health for future generations and increasing our brains’ readiness to adapt to an ever-changing environment. Get ready for two jam-packed days of high-level brain innovation!
URL:https://www.neuropac.info/event/hbp-brain-innovation-days-2023/
LOCATION:Brussels\, Brussels\, Belgium
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231025
DTEND;VALUE=DATE:20231028
DTSTAMP:20260416T023732
CREATED:20230225T210831Z
LAST-MODIFIED:20230225T210831Z
UID:10000028-1698192000-1698451199@www.neuropac.info
SUMMARY:International Conference on Neuromorphic\, Natural and Physical Computing
DESCRIPTION:We are happy to announce the “Neuromorphic\, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”\, organized with generous support by the Volkswagen Foundation. The conference will take place the 25th – 27th of October 2023 in Hanover\, Germany\, and the deadline for submitting a 2-page abstract is March 15th. \nThe general aim of NNPC 2023 is to boost interdisciplinary transfer of ideas and networking in the wider fields of non-digital computing. NNPC 2023 is a successor to the 2018 conference “Cognitive Computing: Merging Concepts with Hardware” (https://nnpc-conference.com/2018) whose very productive and motivating format will be kept\, as well as the location and the generous funding conditions. \nEach session is devoted to a specific theme. We encourage active engagement of attendants by requiring submission of a 2-page abstract on a subject relating to one of the session themes. These abstracts are peer-reviewed. From the accepted abstracts three are chosen for oral presentations and the remaining ones for posters. Importantly\, novelty is not essential as our aim is to make knowledge to diffuse across boundaries of the scientific domains involved.
URL:https://www.neuropac.info/event/international-conference-on-neuromorphic-natural-and-physical-computing/
LOCATION:Hannover\, Germany\, Castle of Herrenhausen\, Hannover\, Germany
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231004
DTEND;VALUE=DATE:20231007
DTSTAMP:20260416T023732
CREATED:20230828T173859Z
LAST-MODIFIED:20230828T173859Z
UID:10000244-1696377600-1696636799@www.neuropac.info
SUMMARY:7th BigBrain Workshop - Challenges of Big Data Integration
DESCRIPTION:This workshop is an opportunity for the neuroscientific community to come together and present their cutting-edge research\, discuss future prospects of the BigBrain associated data and tools\, and explore how to better leverage high-performance computing and artificial intelligence to create multimodal\, multiresolution tools for the high-resolution BigBrain and related datasets.
URL:https://www.neuropac.info/event/7th-bigbrain-workshop-challenges-of-big-data-integration/
LOCATION:Gróska Innovation and business growth center\, Bjargargata 1 102\, Reykjavík\, 101\, Iceland
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231002
DTEND;VALUE=DATE:20231003
DTSTAMP:20260416T023732
CREATED:20230828T172547Z
LAST-MODIFIED:20230828T172547Z
UID:10000241-1696204800-1696291199@www.neuropac.info
SUMMARY:Neuromorphic Computing Netherlands 2023
DESCRIPTION:The NCN2023 (Neuromorphic Computing in the Netherlands) meeting aims to gather in one place leading experts and junior researchers to discuss current trends and open challenges in the field\, from algorithmic\, architectural\, and application domains. Complementing previous years’ topics\, this edition will focus on Bio-inspired computing paradigms and emerging technologies. \nFor more information\, see https://www.rug.nl/research/fse/cognitive-systems-and-materials/news/events/ncn2023/.
URL:https://www.neuropac.info/event/neuromorphic-computing-netherlands-2023/
LOCATION:University of Groningen\, Grote Markt 21\, Groningen\, 9712 HC\, Netherlands
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230926T180000
DTEND;TZID=Europe/Berlin:20230926T193000
DTSTAMP:20260416T023732
CREATED:20230925T101429Z
LAST-MODIFIED:20230925T101429Z
UID:10000246-1695751200-1695756600@www.neuropac.info
SUMMARY:Giulia D’Angelo: What’s catching your eye? The visual attention mechanism
DESCRIPTION:Abstract\nEvery agent\, whether animal or robotic\, needs to process its visual sensory input in an efficient way\, to allow understanding of\, and interaction with\, the environment. The process of filtering revelant information out of the continuous bombardment of complex sensory data is called selective attention. Visual attention is the result of the complex interplay between bottom-up and top-down mechanisms to perceptually organise and understand the scene. Giulia will describe how to approach visual attention using bio-inspired models emulating the human visual system to allow robots to interact with their surroundings. \nSpeaker’s bio\nGiulia D’Angelo is a postdoctoral researcher in neuroengineering in the EDPR laboratory at the Italian Institute of Technology. She obtained a B.Sc. in biomedical engineering and an M.Sc. in neuroengineering\, developing a neuromorphic visual system at the King’s College of London. She successfully defended her Ph.D. VIVA in 2022 at the university of Manchester\, proposing a biologically plausible model for event-driven saliency-based visual attention. She is currently working on bio-inspired visual algorithms exploiting neuromorphic platforms.
URL:https://www.neuropac.info/event/giulia-dangelo-whats-catching-your-eye-the-visual-attention-mechanism/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230926
DTEND;VALUE=DATE:20230930
DTSTAMP:20260416T023732
CREATED:20230828T171827Z
LAST-MODIFIED:20230828T172105Z
UID:10000240-1695686400-1696031999@www.neuropac.info
SUMMARY:Bernstein Conference 2023
DESCRIPTION:Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field\, attracting students\, postdocs and PIs from around the world to meet and discuss new scientific discoveries. \nAlongside the conference\, there will also be multiple satellite workshops\, such as: “Biologically plausible learning in artificial neural networks”\, “How can machine learning be used to generate insights and theories in neuroscience?”\, and “Brain inspiration in neuromorphic computing”. For more information\, see https://bernstein-network.de/bernstein-conference/program/satellite-workshops/. \nFor more information\, see the website: https://bernstein-network.de/en/bernstein-conference/.
URL:https://www.neuropac.info/event/bernstein-conference-2023/
LOCATION:Humboldt Universität\, Luisenstraße 56\, Berlin\, 10115\, Germany
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230912
DTEND;VALUE=DATE:20230914
DTSTAMP:20260416T023732
CREATED:20230828T173658Z
LAST-MODIFIED:20230828T173658Z
UID:10000243-1694476800-1694649599@www.neuropac.info
SUMMARY:HBP Concluding Event - Pioneering digital brain research
DESCRIPTION:From September 12 – 13\, 2023\, the Human Brain Project will celebrate its successful conclusion with a public scientific symposium at Forschungszentrum Jülich. In addition to the international project partners\, representatives from politics and the media are cordially invited to attend. \nIn short presentations\, researchers from the Human Brain Project will highlight the project’s achievements. The symposium will be accompanied by scientific exhibits\, an impressive picture gallery and hands on trainings. In guided tours guests can explore the laboratories and facilities of Forschungszentrum Jülich and get insights into the practical work behind the Human Brain Project.
URL:https://www.neuropac.info/event/hbp-concluding-event-pioneering-digital-brain-research/
LOCATION:Forschungszentrum Jülich\, Wilhelm-Johnen-Straße\, Jülich\, 52428\, Germany
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230905
DTEND;VALUE=DATE:20230908
DTSTAMP:20260416T023732
CREATED:20230831T103530Z
LAST-MODIFIED:20230831T103530Z
UID:10000245-1693872000-1694131199@www.neuropac.info
SUMMARY:Frontiers of Neuromorphic Computing
DESCRIPTION:The recent explosion of deep learning applications imposes an urgent need for new energy-efficient alternative neuromorphic hardware concepts running at high speeds and relying on a high degree of parallelism. In this workshop\, we will explore this rapidly developing area of (classical) neuromorphic computing over a range of scalable platforms\, both on a theoretical and experimental level. These platforms include systems in the domains of optics\, integrated photonics\, spin systems\, semi- and superconducting systems\, soft matter\, and others. In addition\, new physical learning approaches will be discussed. \nThe in-person workshop will start on 5 September at 9 am and end on 7 September at approximately 5:30 pm. There will be invited talks\, contributed talks\, a poster session and a panel discussion. On Wednesday\, we will organise a conference dinner which is included in the registration fee. \n 
URL:https://www.neuropac.info/event/frontiers-of-neuromorphic-computing/
LOCATION:Max Planck Institute for the Science of Light\, Staudtstr. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230801
DTEND;VALUE=DATE:20230804
DTSTAMP:20260416T023732
CREATED:20230306T193641Z
LAST-MODIFIED:20230306T193641Z
UID:10000030-1690848000-1691107199@www.neuropac.info
SUMMARY:ICONS Conference - International Conference on Neuromorphic Systems
DESCRIPTION:ICONS 2023 will be held in a hybrid format: physical location will be Santa Fe. Virtual attendance details will also be provided to the participants. The meeting will take place August 1-3\, 2023. \nThe goal of ICONS is to bring together leading researchers in neuromorphic computing to present new research\, develop new collaborations\, and provide a forum to publish work in this area. Our focus will be on architectures\, models\, algorithms and applications of neuromorphic systems.
URL:https://www.neuropac.info/event/icons-conference-international-conference-on-neuromorphic-systems/
LOCATION:Santa Fe\, Santa Fe\, NM\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230713T163000
DTEND;TZID=UTC:20230713T173000
DTSTAMP:20260416T023732
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000047-1689265800-1689269400@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-07-13/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230629T163000
DTEND;TZID=UTC:20230629T173000
DTSTAMP:20260416T023732
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000046-1688056200-1688059800@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-06-29/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230627T080000
DTEND;TZID=America/Los_Angeles:20230627T090000
DTSTAMP:20260416T023732
CREATED:20230626T220627Z
LAST-MODIFIED:20230626T220627Z
UID:10000238-1687852800-1687856400@www.neuropac.info
SUMMARY:INRC Forum: Robert Legenstein
DESCRIPTION:Memory-enriched computation and learning through synaptic and non-synaptic plasticity\nAbstract:Virtually any task faced by humans has a temporal component and therefore demands some form of memory. Consequently\, a variety of memory systems and mechanisms have been shown to exist in the brain of humans and other animals. These memory systems operate on a multitude of time scales\, from seconds to years. Yet\, it is still not well understood how memory is implemented in the brain and how cortical neuronal networks utilize these systems for computation. In this talk\, I will present some recent models that extend (spiking and non-spiking) neural network models with memory using Hebbian and non-Hebbian types of plasticity. I will discuss the similarities between these models and transformers\, arguably the most powerful models for sequence processing in the area of machine learning. I will show that Hebbian plasticity can significantly increase the computational and learning capabilities of spiking neural networks. Further\, I will show how neurons with non-synaptic plasticity can be utilized for memory and how networks of such neurons can be trained without the need to backpropagate errors through time. \nBio: Dr. Robert Legenstein received his PhD in computer science from the Graz University of Technology\, Graz\, Austria\, in 2002. He is a full professor at the Department of Computer Science\, TU Graz\, head of the Institute for Theoretical Computer Science\, and leading the Graz Center for Machine Learning. Dr. Legenstein has served as associate editor of IEEE Transactions on Neural Networks and Learning Systems (2012-2016). He is an action editor for Transactions on Machine Learning Research\, and he was on the program committee for NeurIPS and ICLR several times. His primary research interests are learning in models for biological networks of neurons and neuromorphic hardware\, probabilistic neural computation\, novel brain-inspired architectures for computation and learning\, and memristor-based computing concepts. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-robert-legenstein/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230626
DTEND;VALUE=DATE:20230629
DTSTAMP:20260416T023732
CREATED:20230129T163038Z
LAST-MODIFIED:20230129T163038Z
UID:10000018-1687737600-1687996799@www.neuropac.info
SUMMARY:tinyML EMEA Innovation Forum 2023
DESCRIPTION:The tinyML EMEA Innovation Forum is accelerating the adoption of tiny machine learning across the region by connecting the efforts of the private sector with those of academia in pushing the boundaries of machine learning and artificial intelligence on ultra-low powered devices.
URL:https://www.neuropac.info/event/tinyml-emea-innovation-forum-2023/
LOCATION:Marriott Hotel\, Amsterdam\, Netherlands
CATEGORIES:Conference,Discussion,Workshop
END:VEVENT
END:VCALENDAR