NeuroTMA Lab
@neurotma.bsky.social
450 followers
1.2K following
12 posts
Neuro-inspired Theory, Modeling, and Applications research group led by Mihai A. Petrovici @unibern.bsky.social
NeuroTMA website: https://physiologie.unibe.ch/~petrovici/group/
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Reposted by NeuroTMA Lab
Reposted by NeuroTMA Lab
NeuroTMA Lab
@neurotma.bsky.social
· Mar 27
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
Behavior can be described as a temporal sequence of actions driven by neural activity. To learn complex sequential patterns in neural networks, memories of past activities need to persist on significa...
arxiv.org
NeuroTMA Lab
@neurotma.bsky.social
· Mar 27
Weight transport through spike timing for robust local gradients
In both machine learning and in computational neuroscience, plasticity in functional neural networks is frequently expressed as gradient descent on a cost. Often, this imposes symmetry constraints tha...
arxiv.org
Reposted by NeuroTMA Lab
Brad Aimone
@jbimaknee.bsky.social
· Nov 22
Reposted by NeuroTMA Lab
Reposted by NeuroTMA Lab
Reposted by NeuroTMA Lab
CompNeuro Lab
@compneurosenn.bsky.social
· Mar 13
AI with consciousness - but pain-free?
Researchers at the University of Bern have developed a new model for the emergence of consciousness. The model suggests that one day artificial agents, i.e. systems which imitate human thought, could ...
mediarelations.unibe.ch
Reposted by NeuroTMA Lab
CompNeuro Lab
@compneurosenn.bsky.social
· Mar 13
The conductor model of consciousness, our neuromorphic twins, and the human-AI deal - AI and Ethics
Critics of Artificial Intelligence (AI) posit that artificial agents cannot achieve consciousness even in principle, because they lack certain necessary pre-conditions present in biological agents. He...
link.springer.com
Reposted by NeuroTMA Lab
Reposted by NeuroTMA Lab
NeuroTMA Lab
@neurotma.bsky.social
· Feb 18
Reposted by NeuroTMA Lab
Dylan R Muir
@dylanmuir.bsky.social
· Nov 28
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks st...
arxiv.org
Reposted by NeuroTMA Lab
Reposted by NeuroTMA Lab
arxiv cs.NE
@arxiv-cs-ne.bsky.social
· Dec 26
NeuroTMA Lab
@neurotma.bsky.social
· Dec 12
Neuromorphic computing: More energy efficiency in autonomous driving of the future | Mercedes-Benz Group
Future vehicles will include more and more functionalities, with those for autonomous driving being just one example. As this will lead to significantly higher energy requirements, efficiency is a cru...
group.mercedes-benz.com
Reposted by NeuroTMA Lab
NeuroTMA Lab
@neurotma.bsky.social
· Nov 25