BRAINNET Workshop 2025
2025-05-05 - 2025-05-08 | KTH Stockholm, Stockholm, Sweden
The BrainNet workshop promotes a multidisciplinary approach to the study of the brain, covering a wide range of topics that elucidate its complex mechanisms and functions. The event brings together distinguished scientists from leading institutions across Europe who investigate the brain using methods from fields such as Statistics, Complex Networks, Dynamical Systems, Topology, Machine Learning, or a combination of these. By integrating diverse perspectives and cutting-edge research, the workshop aims to advance our understanding of brain function while fostering innovation and collaboration within the scientific community. Participants will have the opportunity to engage with the latest findings, discuss emerging trends, and explore the ethical and practical considerations of brain research.

3rd Neuromorphic Computing Day
2025-05-21 - 2025-05-22 | Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52428, Germany
Please be kindly invited to save the date for this exciting event at Forschungszentrum Jülich.
Event Details:

Date: May 21st-22nd 2025
Location: Forschungszentrum Jülich

Join us for a day filled with inspiring talks, discussions, and networking opportunities centered around the latest developments in neuromorphic computing.
More information, including the agenda and registration details, will follow shortly here: https://www.neurotec.org/de/news_und_events/3rd-nc-day-2025

IEEE International Symposium on Circuits and Systems (ISCAS)
2025-05-25 - 2025-05-28 | InterContinental London – The O2, 1 Waterview Dr, London, SE10 0TW, United Kingdom
The IEEE International Symposium on Circuits and Systems (IEEE ISCAS 2025) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premiere forum for researchers in the active fields of theory, design and implementation of circuits and systems. This is accomplished through technical conference sessions, poster sessions, live demonstration sessions, and publication of conference papers. ISCAS 2025 will be driven by the theme “Technology Disruption and Society” aiming to emphasize the potential of the CAS Society to find innovative solutions to challenges facing society today.

2nd International Conference on Neuro-Symbolic Systems (NeuS)
2025-05-28 - 2025-05-30 | University of Pennsylvania, PA, United States
Welcome to the home page of the 2nd International Conference on Neuro-symbolic Systems (NeuS 2025). NeuS aims to bring together novel concepts, theories, and practices that can help in the development of the science and application of neuro-symbolic computing and systems. The conference will focus on system theoretic approaches to address fundamental challenges to increase the confidence of neuro-symbolic systems by making them more secure, dependable, and trustworthy. An emphasis will be on design, analysis, and synthesis techniques for neuro-symbolic systems with a particular interest in assurance metrics, robustness, and ease of translation from design to production.
In doing so, the conference aims to advance the development of principled approaches to the design, development, and deployment of complex and sophisticated neuro-symbolic systems. Topics of particular interest are: Artificial Intelligence, Machine Learning, Autonomy, Cyber-Physical Systems, Formal Methods, Large Language Models, Neurosymbolic Programming, Neurosymbolic Hardware.

1st Cognition and Natural Sensory Processing (CNSP) Hackathon
2025-05-29 | Maastricht, NL, Maastricht, Netherlands
We’re happy to announce that the 1st Cognition and Natural Sensory Processing (CNSP) Hackathon, which will take place in Maastricht on September 12-14.
The Hackathon will consist of two days of hands-on work + a morning of presentations and discussion on day 3. Participants will form groups that will tackle exciting challenges while working with some of the latest technologies (e.g., fNIRS hyperscanning and data from EEG hyperscanning). Please check out the Hackathon page for more details and register below!
**Registrations are now open.** Please check the deadlines and key dates on our website.
Hackathon page: https://cnspworkshop.net/hackathon.html
Registration: https://cnspworkshop.net/registration.html

Nengo Summer School 2025
2025-06-01 - 2025-06-13 | University of Waterloo, Waterloo, Ontario, Canada
The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 10th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. As a recurring special feature of the school, participants will be given on-site access to neuromorphic hardware, including Stanford’s mixed digital/analog chipBraindrop, the SpiNNaker chip, and a variety of FPGAs.
In addition to teaching participants to run applications on neuromorphic hardware using the Nengo simulation package, this two-week school will teach participants to use Nengo to build state-of-the-art cognitive and neural models. More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world’s largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks.
We welcome applications from all interested graduate students, postdocs, professors, and industry professionals. No specific training in the use of modelling software is required, but we encourage applications from active researchers with a relevant background in psychology, neuroscience, cognitive science, computer science, robotics, neuromorphic engineering, or a related field. More information about Nengo, the Neural Engineering Framework, and Spaun can be found athttps://www.nengo.ai/. Many of the concepts to be covered are in this book.

Frontiers in NeuroAI Symposium
2025-06-05 | Harvard’s Science and Engineering Complex (SEC), 150 Western Avenue, Allston, MA, 02134, United States
The Frontiers in NeuroAI symposium is hosted by the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University. The two-day event offers onsite and virtual attendance options and will take place on June 5–6, 2025 at Harvard’s Science and Engineering Complex (SEC) in Allston, MA.
Featuring leading experts from neuroscience and AI, the event will include cutting-edge discussions and insights on:

Learning processes in natural and artificial systems.
The impact of machine learning on neuroscience and intelligence.
Advances in AI reasoning and generative capabilities.

Register now! In person availability is limited. We offer special rates for undergraduates and virtual attendance is free of charge. Advance registration is required for both onsite and virtual attendance.

CVPR 2025 Workshop on Event-based Vision
2025-06-12 | Nashville, Nashville, TN, United States
Objectives
Event-based cameras are bio-inspired, asynchronous sensors that offer key advantages of microsecond temporal resolution, low latency, high dynamic range and low power consumption. Because of these advantages, event-based cameras open frontiers that are unthinkable with traditional (frame-based) cameras, which have been the main sensing technology for the past 60 years. These revolutionary sensors enable the design of a new class of efficient algorithms to track a baseball in the moonlight, build a flying robot with the agility of a bee, and perform structure from motion in challenging lighting conditions and at remarkable speeds. In the last decade, research about these sensors has attracted the attention of industry and academia, fostering exciting advances in the field. The proposed workshop covers the sensing hardware, as well as the processing, data, and learning methods needed to take advantage of the above-mentioned novel cameras. The workshop also considers novel vision sensors, such as pixel processor arrays, which perform massively parallel processing near the image plane. Because early vision computations are carried out on-sensor (mimicking the retina), the resulting systems have high speed and low-power consumption, enabling new embedded vision applications in areas such as robotics, AR/VR, automotive, gaming, surveillance, etc.

Topics Covered

Event-based / neuromorphic vision.
Algorithms: motion estimation, visual(-inertial) odometry, SLAM, 3D reconstruction, image intensity reconstruction, optical flow estimation, recognition, segmentation, feature/object detection, visual tracking, calibration, action understanding, sensor fusion (video synthesis, events and RGB, events and LiDAR, etc.), model-based, embedded, or learning-based approaches.
Event-based representation, signal processing, and control.
Event-based active vision, event-based sensorimotor integration.
Event camera datasets and/or simulators.
Applications in: computational photography, robotics (navigation, manipulation, drones, obstacle avoidance, human-robot interaction,…), automotive, IoT, AR/VR (e.g., smart eyewear), space science, automated inspection, surveillance, crowd counting, physics, biology.
Novel hardware (cameras, neuromorphic processors, etc.) and/or software platforms, such as fully event-based systems (end-to-end).
New trends and challenges in event-based and/or biologically-inspired vision (SNNs, Reservoir Computing, etc.).
Efficient computing architectures for Event-based processing (e.g., HD Computing, State Space Models).
Near-focal plane processing, such as pixel processor arrays (PPAs).

A longer list of related topics is available in the table of content of the List of Event-based Vision Resources

Neuromorphic Now – Are you ready for the next leap in intelligent technology?
2025-06-13 | Art Center Delft, Rotterdamseweg 205, Delft, 2629 HD, Netherlands
Imagine a technology that mimics the intelligence of the human brain – faster, more energy-efficient, and far more scalable. This is neuromorphic computing, and it is poised to make a major impact in fields like mobility, healthcare, robotics, and cybersecurity.
Neuromorphic computing is breaking out of the lab—and the Netherlands is ready to lead the charge. Join leading researchers, innovators and policy-makers on 13 June 2025 at Art Centre Delft for a one-day deep dive into the future of brain-inspired hardware.
What to expect:
The diverse programme consists of eye-opening keynotes, demonstrations of what neuromorphic chips can do today, multiple inspiring sofa talks that connect science with scalable business and a preview of the upcoming Neuromorphic roadmap.
Neuromorphic Now is the next step in strengthening the neuromorphic ecosystem that can realize a compelling innovation agenda that will turn neuromorphic potential into European advantage.
Secure your place now and be part of the movement—from hype to reality.

NEST Conference 2025
2025-06-17 - 2025-06-18 | Online
The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the virtual NEST Conference 2025. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference!
This year’s conference will again take place as a virtual conference on Tuesday/Wednesday 17/18 June 2025.

Neuronics Conference 2025
2025-06-17 - 2025-06-20 | Tsukuba, Tokyo, Japan
Welcome to the Neuronics Conference 2025 that will take place at Tsukuba (Japan) in June 2025.
Brain-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.
This conference aimed 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 was placed on memristive technologies as a promising devices for implementing various neuromorphic functions, including artificial synapses, neurons, and dendrites. The different material platforms included 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.

International Conference on Mathematical Neuroscience 2025
2025-06-17 - 2025-06-20 | PRBB, Barcelona, Barcelona, Spain
The International Conference on Mathematical Neuroscience (ICMNS) is an inter-disciplinary conference series, bringing together theoretical/computational neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. ICMNS 2025 will be the tenth annual conference. ICMNS 2024 was held in Dublin, whereas previous editions were held in Copenhagen, Juan les Pins and Boulder, Colorado.

Telluride Workshop 2025
2025-06-29 - 2025-07-19 | Telluride, Telluride, CO, United States
The workshop will take place over 3-weeks as a project–based meeting organized around specific topic areas to bring the organizing principles of neural cognition into artificial intelligence, and to use AI to understand how brains work.

The core of Telluride is broken into separate Topic Areas. Each Topic Area is guided by a group of experts who will provide tutorials, lectures, and hands-on project ideas. Participants should expect to be exposed to all of the Topic Areas, but will generally focus on one or two to work on during the event.

AUD25 Auditory Decoding
LT25 Language and thought
NIC25 Neuromorphic integrated circuits
NPC25 Neural Perception and Control

University of Manchester - Inaugural Lecture: 35 years of Neuromorphic Systems Engineering
2025-07-02 13:00 - 14:00 (Europe/London) | University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
Inaugural Lecture: 35 years of Neuromorphic Systems Engineering by Professor André Van Schaik, Furber Chair in Computer Systems Engineering, Department of Computer Science
Abstract: In this Inaugural Lecture I will give an overview of my career in Neuromorphic Engineering, some recent achievements of the International Centre for Neuromorphic Systems at Western Sydney University, and my plans for a new International Centre for Neuromorphic Systems at the University of Manchester.
A brief bio can be found here: https://research.manchester.ac.uk/en/persons/andré-van-schaik

NeuroAI Live Online Course by Neuromatch
2025-07-14 - 2025-07-25 | Online
Full time, 2 Week, Live Instruction Course
What are common principles of natural and artificial intelligence?
The core challenge of intelligence is generalization. Neuroscience, cognitive science, and AI are all questing for principles that help generalization. Major system features that affect generalization include: task structure (multitasking, multiple inputs with same output and vice versa), microcircuitry (nonlinearities, canonical motifs and their operations, sparsity), macrocircuitry or architecture (e.g. modules for memory, information segregation, weight sharing by input symmetry or common development), learning rules (synaptic plasticity, modulation), and data stream (e.g. curriculum).
We aim to present current understanding of how these issues arise in both natural and artificial intelligence, comparing how these system features affect representations, computations, and learning. We provide case studies and coding exercises that illustrate these issues in neuroscience, cognitive science and AI.

Learning Goal 1: A common understanding and vocabulary to describe challenges faced by naturally intelligent systems

Describe core shared concepts in neuroscience, cognitive science and machine learning and how they differ to each other
Describe and implement different ways in which an ANN can be compared to a BNN
Describe multiple scales of computation, and multiple scales of study (e.g. Marr’s levels, what/how/why?)

Learning Goal 2: Experience a multiplicity of approaches and interests at the intersection of neuro and AI; be able to describe some of these approaches and interests
Learning Goal 3: Be able to practically implement NeuroAI models

Coding and training models
Adding more features to existing models
Debugging (within guardrails)
Interpreting, analyzing and critiquing existing models

Learning Goal 4: Complete research that deals with difficulties in NeuroAI

Writing down a problem in a way that makes it tractable
Interacting with other people from other disciplines fruitfully
Do research (reading papers, implementing previous SOTA, coding new methods, evaluating diff methods) in NeuroAI
Communicating their research in ways that are comprehensible to their target audience

All our content is open source, you can see the NeuroAI course book here.

NeuroAI – Neuroscience and AI Summer School
2025-07-14 - 2025-08-01 | Champalimaud Centre for the Unknown, Portugal, Lisbon, Portugal
Modern deep learning methods provide some of the best tools to model behavior and brain function today. Excitingly, AI systems have become the first artificial models capable of matching human performance in sophisticated cognitive tasks, such as visual recognition, language processing, and strategic planning. This unique capability makes them a key test bed for neuroscience research: by studying how these AI systems solve complex problems, we can generate and test hypotheses about the computational principles that biological brains might use. Moreover, thanks to amazing progress in neuroscientific experimental recording techniques over the last decade, we now have access to vast amounts of complex data, which can be used in computational modeling, across multiple modalities – from neural activity of thousands of neurons, to anatomical details of neuronal circuits, to whole brain neural recordings during complex behavior of humans and animals. These exciting developments—in both AI methodology and neuroscientific recordings—have inspired an emerging area of research at the intersection of neuroscience and AI.

The course gives a hands-on introduction to modern AI methods, including deep learning, and how it can be used for analyzing and modeling brain activity and behavior. Experts in the field will teach the basics of AI, and how to use them as models of the brain, cognition, and behavior.

International Conference on Neuromorphic Systems (ICONS 2025)
2025-07-29 - 2025-07-31 | Seattle, Seattle, WA, United States
The 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, and applications of neuromorphic systems.
ICONS 2025 will be held in a hybrid format, with the physical conference in Seattle, Washington. Virtual attendance details will also be provided to the participants. The meeting will take place July 29-31, 2025.

NeuroAI Symposium at the Allen Institute
2025-07-30 - 2025-07-31 | Allen Institute, Seattle, WA, United States
NeuroAI will be held July 30 – 31, 2025 at the Allen Institute in Seattle, WA. Speakers include Boris Gutkin (ENS), Fanny Cazettes (Aix-Marseille), Garret Stuber (UW), Blake Richards (McGill), Guillaume LaJoie (U Montreal), Alison Duffy (UW), Ilya Monosov (Johns Hopkins, Washington U), David McCormick (Oregon), Sue Su (Allen), and Jean-Baptiste Masson (Pasteur). A full schedule will be available soon!

Photonic and Neuromorphic Computing Sessions at SPIE ETAI 2025
2025-08-03 - 2025-08-05 | San Diego, San Diego, CA, United States
At the Emerging Topics in Artificial Intelligence (ETAI) 2025 conference, the Photonic and Neuromorphic Computing sessions bring together researchers to explore the fusion of low-power optical multiply–accumulate operations with brain-inspired computing architectures in multiple sessions between August 3, 2025 and August 5, 2025 in the San Diego Convention Center.

Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN³)
2025-08-25 - 2025-09-01 | Online
We are delighted to invite you to apply to the 5th Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN³) Summer School, taking place from 25 August to 1 September 2025 at Ulster University, Derry~Londonderry, UK. A hybrid format is available, allowing participation either in-person or online. This summer school offers a unique, immersive experience for students, early-career researchers, and professionals interested in the intersection of neuroscience, artificial intelligence, and neurotechnology.

Organised by the Intelligent Systems Research Centre (ISRC) at Derry~Londonderry, this summer school provides interdisciplinary training at the intersection of neuroscience and AI. The programme is designed to equip participants with both theoretical understanding and hands-on experience in emerging neurotechnologies.

Key Highlights:
• Lectures by international experts in computational neuroscience and AI
• Practical workshops in Python, MATLAB, and neuro-modelling tools
• Sessions on brain-computer interfaces, cognitive robotics, neuromorphic computing, and more
• Opportunities to present and discuss research
• Networking with global peers and experts
• Exposure to entrepreneurship in neurotechnology and translational research

The summer school is ideal for:
• Final-year undergraduate students
• MSc and PhD students
• Postdoctoral researchers
• Industry professionals seeking cross-disciplinary knowledge

Application Deadlines:
• In-person (visa-required): 15 June 2025
• In-person (non-visa): 15 July 2025
• Online participation: 31 July 2025

Further details and registration instructions can be found at:
https://www.ulster.ac.uk/conference/isrc-cn3-summer-school

4th Cognition and Natural Sensory Processing (CNSP) Workshop
2025-09-02 - 2025-09-03 | Online
We’re happy to announce that the 4th Cognition and Natural Sensory Processing (CNSP) Workshop will take place virtually on September 2-3.
The workshop will be two days of talks and hands-on tutorials relating to analysis of neural data involving natural, continuous sensory inputs (e.g., speech/music listening). Our keynote speakers will be Dr. Jean-Rémi King and Dr. Sam Nastase. The workshop will also feature interactive tutorial sessions on the analysis of continuous sensory data. Please see our workshop page for more information and register here! And we invite PIs to share this with their teams.
We are delighted to invite students and postdocs to submit proposals for a talk + tutorial involving analysis of continuous sensory neural data from their work. Please submit your proposal here.
Workshop page: https://cnspworkshop.net/workshops.html
Registration: https://cnspworkshop.net/registration.html

Neuromorphic Computing Netherlands (NCN2025)
2025-09-19 | TU Delft, Prometheusplein 1, Delft, 2628 ZC, Netherlands
We are excited to announce Neuromorphic Computing Netherlands 2025 (NCN2025), a one-day symposium bringing together researchers and professionals working on the future of brain-inspired computing.
🗓 Date: September 19, 2025
📍 Location: Auditorium, TU Delft
💶 Fee: €10
🔗 More info & registration: https://sites.google.com/view/ncn2025
Theme: Understanding the Brain: The Unfinished Revolution of Neuromorphic Computing
Keynotes will explore the foundations of brain-inspired computing, neuromorphic system architectures, and novel intelligent materials, with speakers from the University of Nottingham, Innatera Nanosystems, and University of Twente.
Researchers are encouraged to submit abstracts and join the conversation shaping the next wave of neuromorphic innovation in the Netherlands.

Neuromorphic Symposium 2025
2025-09-24 - 2025-09-26 | Paris, Paris, France
We are delighted to welcome you to the Neuromorphic Symposium 2025, co-organized by Spin-Ion Technologies and NYU Paris. This international event will bring together researchers, engineers, and industry experts to explore the latest developments and future directions in neuromorphic computing. The symposium will feature talks, round-table discussions, and poster sessions, providing a platform to discuss innovative technologies, algorithms, and architectures driving the field of neuromorphic computing forward. Join us in the heart of Paris for three days of engaging discussions and networking opportunities!

MemrisTec Summer School 2025
2025-09-24 - 2025-10-03 | Sevilla, Sevilla, Spain
Welcome to the fourth MemrisTec Summer School which is covering the topics of the research programme Memristive Devices Toward Smart Technical Systems.
Memristors are nanoelectric devices capable of storage and computation. Their specific properties make it possible to integrate significantly more memory than before in a very small space and to create novel, biologically inspired networks for information processing.
This creates electronic circuits whose performance is significantly greater than that of conventional semiconductor solutions. The highly efficient and faster memory technologies are better able than conventional technologies to meet the challenges of the Internet of Things. Due to their high efficiency and small size, memristors also allow the development of highly sensitive biosensors, which are particularly interesting for medical technology.
Such sensors can be used, for example, to detect cancer cells very sensitively at low concentrations. Moreover, memristors are particularly well suited for imaging the learning behavior of synapses in neuromorphic electronic systems, i.e. the development of artificial brains. That is, in the future, computers may be created that can “think” and “learn” with memristors. In addition, a multitude of other possible applications is conceivable.

AIDA4Edge: Event-Based Selective Attention for Multi-Resolution fast ROI Detection
2025-09-26 14:00 - 15:00 (Europe/Helsinki) | University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
Event-based vision sensors offer a fundamentally different way of perceiving the world, by only capturing changes in a scene and enabling low-latency and efficient perception.
However, the high event rates of modern sensors can make them impractical for edge applications. In this talk, I will present an Event-based Selective Attention approach that leverages multi-resolution processing for fast Region of Interest (ROI) detection, validated on a large-scale automotive dataset. Inspired by biological attention, the method combines coarse global monitoring with fine-grained saliency detection, dynamically focusing resources only on relevant activity. This enables scalable, low-power processing while preserving high sensitivity to salient features.
The seminar will be delivered by Dr Luca Peres and facilitated by Dr Davide Bertozzi and Dr Oliver Rhodes.
The webinar will be held in hybrid format and available online on Teams at this link: https://tinyurl.com/AIDA4Edge-Webinar
Contact: luca.peres-2@manchester.ac.uk

Neuromorphic Tug-Of-War v2.0: Neuroscience and AI at different timescales
2025-09-29 - 2025-09-30 | Goethe University, Max-Horkheimer-Straße 4, Frankfurt am Main, 60323, Germany
Neuroscience has played a foundational role in shaping Artificial Intelligence (AI), particularly by inspiring the development of Neuromorphic hardware. However, recent breakthroughs in AI, driven by Machine Learning (ML), have achieved high performance while straying from biological principles. This shift raises ongoing questions about the importance of biological realism in Neuromorphic Computing. In last year’s edition of this workshop, we initiated a community-wide conversation to examine this tension. Following the workshop, we conducted a broad online survey to gather current perspectives from the Neuromorphic Engineering community. The responses revealed a new kind of “tug-of-war”: between short-term and long-term goals, and between top-down theoretical approaches and bottom-up engineering solutions. This year’s workshop builds directly on those findings and explores their implications for the future of the field. We have invited speakers with diverse backgrounds, including Neuroscience, Machine Learning, and Neuromorphic Engineering, who are actively engaged in addressing these questions. They will present recent Neuroscience discoveries that have not yet been fully integrated into Neuromorphic systems, reflect on important lessons from the development of ML, and critically reassess the foundational goals of the field. We will also present quantitative insights from the community survey to anchor the discussion and foster a dialogue aimed at identifying concrete stepping stones for the future of Neuromorphic Computing, both in the short term and in the long term.

Organizers

Matteo Saponati | Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland
Laura Kriener | Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland
Melika Payvand | Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland
Filippo Moro | Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland
Sebastian Billaudelle | Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland

Bernstein Conference
2025-09-29 - 2025-10-02 | Goethe University, Max-Horkheimer-Straße 4, Frankfurt am Main, 60323, Germany
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 renowned conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.

Tonic: Deep Dive & Maintainer Transition Workshop
2025-09-29 20:00 - 21:30 (Europe/Helsinki) | Online – Live on the Open Neuromorphic YouTube Channel
Description:
An incredible opportunity to lead a foundational project in the neuromorphic ecosystem! Gregor Lenz, co-founder of Open Neuromorphic and creator of Tonic, is passing the torch to a new maintainer for this essential open-source library.
This deep-dive workshop will cover:

Challenges of handling neuromorphic data and Tonic’s design philosophy
Walkthrough of dataset loading, transformations, and caching
The future roadmap and how the community can contribute

This is a must-attend for researchers and developers working with event-based data—and a perfect chance for someone to step up as a new maintainer of Tonic.

Speaker: Gregor Lenz

Imagine: The conference for edge AI
2025-10-01 | Computer History Museum California, 1401 N. Shoreline Boulevard, Mountain View, California (CA), 94043, United States
Description:Imagine 2025 is Edge Impulse’s flagship event dedicated to edge AI, uniting innovators, developers, and industry leaders. The conference will feature keynotes, technical sessions, and live demos showcasing how intelligent devices are shaping the future of technology.

Featured Speakers:

Zach Shelby – VP & Co-founder, Edge Impulse
Fabio Violante – CEO, Arduino
…plus many other outstanding experts from across the edge AI ecosystem.

Format: Hybrid (In-person at Computer History Museum + Live-streamed globally)
Learn more: edgeimpulse.com/imagine

Physical AI in care: Robotics at the edge of social intelligence
2025-10-02 | StageOne Oerlikon, Elias-Canetti-Strasse 146, Zürich, Zürich, 8050, Switzerland
This workshop brings together technology developers, academic researchers, and care practitioners to explore the promises and pitfalls of robotics in care. Through critical dialogue and practical insights, we examine how far robots have come in social and physical intelligence—and how far they still need to go to truly support human-centered care.
Speakers:

Prof. Dr. Friederike Eyssel
Bielefeld, Germany
Professor at Universität Bielefeld, specializing in human-robot interaction and social robotics.
Prof. Dr. Katrin Lohan
St. Gallen, Switzerland
Head of the Department of Mechatronic Systems at OST, focusing on robotics and mechatronic system development.
Dr. Michael Früh
Zurich, Switzerland
CEO of F&P Robotics, a company specializing in robotic solutions for healthcare applications.
Andrey Dashchenko
Germany
Product Manager at NEURA Robotics, working on advanced robotics technologies.
Prof. Dr. Yulia Sandamirskaya
Zurich, Switzerland
Professor at ZHAW Life Sciences and Facility Management, researching robotics in healthcare settings.
