Computational Neuroscience Group
Our lab uses mathematical models of synapses, neurons and networks to explain aspects of perception and behaviour. We consider models for the cortical pyramidal neurons and micro-circuitries which are being experimentally investigated in vivo and in vitro at our
Department 1
.
A further interest is the neuronal substrate of learning and memory. One question we are addressing is how state-action sequences can be learned from an ongoing stream of synaptic inputs and a single delayed feedback signal 2
. We also develop models of sensory processing and its interaction with cortical top-down signals. These explain experimental recordings from the visual cortex obtained while solving perceptual or classification tasks 3,
4
.
Our models try to highlight some key mechanisms by which the interaction of synapses and neurons enables our brains to deal with everyday tasks.
Highlights
New Article in AI and Ethics!
A model for consciousness emergence in AI systems, governed by a "Human-AI Deal"
"The conductor model of consciousness, our neuromorphic twins, and the human-AI deal"
See Publication
and Press Release
News articles: myScience
- swissinfo.ch
- Blick
Interview on artificial intelligence (AI) for the play "Majorie Prime" - Effingertheater Bern, 24. August - 20. September 2024 - Info
Walter Senn
shares insights from his work on AI to discuss "Marjorie Prime", a play depicting the recreation of a loved one as an AI.
Read the full interview