ICNCE 2026

Information technology is undergoing a profound transformation: traditional, command-based data processing and CMOS technology, in which algorithms act like recipes to produce deterministic results, are increasingly being complemented and, in some areas, replaced by AI-based approaches. These approaches rely on machine learning and the automated extraction of knowledge from data, yielding...

This tutorial is an introduction to neuroanatomy and neurophysiology for engineers and computer scientists. We will work our way down from the whole brain to individual neurons and synapses, focusing on where things are and how they work. No prior training in biology is required.

Speaker:

Abigail Morrison is the group leader of “Computation in Neural Circuits” at IAS-6, Jülich Research...

Spiking neural networks (SNNs) occupy a unique intersection amid computational neuroscience and neuromorphic engineering: they are both models of biological neural computation and practical candidates for energy-efficient inference on neuromorphic hardware. Yet training them to perform well on real-world tasks has long been a major impediment, owing to the non-differentiable nature of spike...