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DTSTART;VALUE=DATE:20260609
DTEND;VALUE=DATE:20260613
DTSTAMP:20260530T103053
CREATED:20260227T161227Z
LAST-MODIFIED:20260227T161731Z
UID:10000426-1780963200-1781308799@www.neuropac.info
SUMMARY:Bio-inspired Deep Learning Workshop 2026: Neuromorphic Computing
DESCRIPTION:Short Overview:\nA focused workshop exploring bio-inspired deep learning and neuromorphic computing\, led by Prof. Elisa Donati (University of Zurich & ETH Zürich) with support from the Joachim Herz Foundation. The workshop covers intersections of mathematical modelling\, machine learning\, and data analysis with brain-inspired approaches\, including hybrid artificial and biological neural systems. \n\nApplication: deadline: 02-03-2026 at 12:00 (CET)\nApplication: here\n📄 Download Workshop Flyer (PDF)
URL:https://www.neuropac.info/event/bio-inspired-deep-learning-workshop-2026-neuromorphic-computing/
LOCATION:Weingut Domhof & Schlafgut Domhof\, Guntersblum\, Germany
CATEGORIES:Workshop
ORGANIZER;CN="Bio-inspired DL workshop 2026":MAILTO:meggl@umh.es
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260609T110000
DTEND;TZID=Europe/Paris:20260609T173000
DTSTAMP:20260530T103053
CREATED:20260512T142759Z
LAST-MODIFIED:20260512T142927Z
UID:10000439-1781002800-1781026200@www.neuropac.info
SUMMARY:Workshop on Theory of Neuromorphic Computing
DESCRIPTION:About:\nNeuromorphic computing is a computing paradigm inspired by biological neural systems. It is based on spiking\, event-driven architectures in which memory and computation are closely integrated. Neuromorphic chips have already shown several promising advantages over conventional von Neumann architectures\, particularly in terms of energy efficiency. \nThis workshop will explore the theoretical foundations of neuromorphic computing\, with a focus on algorithms and computational complexity. Although the hardware has developed rapidly\, the theory has not kept pace. Our aim is to create a forum for discussion on rigorous models of neuromorphic systems\, allowing researchers to study their computational power and compare them with classical models of computation. These models must capture not only time and space\, but also energy-related resources such as spikes and synaptic operations. \nWebsite: https://neuromorphic-theory.github.io\nCost: Free (but registration required: https://forms.office.com/e/cWSjB6z2WB)
URL:https://www.neuropac.info/event/workshop-on-theory-of-neuromorphic-computing/
LOCATION:Ashton Lecture Theatre\, Brownlow Street\, Liverpool\, L3 3GJ\, United Kingdom
CATEGORIES:Workshop
ORGANIZER;CN="John Sylvester & David Purser":MAILTO:John.Sylvester@liverpool.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260611
DTEND;VALUE=DATE:20260613
DTSTAMP:20260530T103053
CREATED:20260130T141508Z
LAST-MODIFIED:20260130T141508Z
UID:10000423-1781136000-1781308799@www.neuropac.info
SUMMARY:Neuromorphic Hardware and Algorithms Workshop 2026
DESCRIPTION:Short Overview:The Neuromorphic Hardware and Algorithms workshop 2026 is a focused research workshop bringing together early-career researchers and practitioners in neuromorphic computing to share work\, network\, and learn about current advances in neuromorphic hardware and algorithm development. It includes talks\, invited speakers\, and discussions tailored for the neuromorphic research community. \nTopics\n\nNeuromorphic hardware design and architectures\nAlgorithms for event-driven / spiking neural networks\nIntegration of neuromorphic systems and tools\nEarly-career research presentations and networking\n\nRegistration\nPlease register using the registration form
URL:https://www.neuropac.info/event/neuromorphic-hardware-and-algorithms-workshop-2026/
LOCATION:University of Sussex\, Falmer Campus\, Brighton\, BN1 9RH\, United Kingdom
CATEGORIES:Workshop
ORGANIZER;CN="GeNN Team / University of Sussex":MAILTO:J.C.Knight@sussex.ac.uk
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