News
Tweets by CompNeuro
2021
- New contribution to NeurIPS: Learning with slow neurons is not a problem anymore!
"Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons".
See Publications
- New contribution to eLife: Evolving to Learn!
"Evolving interpretable plasticity for spiking network".
See Publications - eLife Digest - Press Release
- CRS2021 - Champalimaud Research Symposium - Oct. 15 - Info
- Talk by Walter Senn
"Least action principle and error-based learning in the brain".
- ACAIN 2021 - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - Oct. 5-8 - Info
- Four oral presentations:
- Jakob Jordan "Learning Bayes-optimal dendritic opinion pooling".
- Katharina Wilmes "Learning to predict in uncertainty".
- Julian Göltz and Laura Kriener "Fast and energy-efficient neuromorphic deep learning with first-spike times".
- Henrik Mettler "Evolving to Learn: Automating the search for interpretable, biologically plausible synaptic plasticity rules".
- Agnes Korcsak-Gorzo "Cortical oscillations support sampling-based computations in spiking neural network".
- Bernstein Conference - Sep. 22 - Info
- Nicolas Deperrois
presented the Poster
"Creative memory semantization through adversarial dreaming". For more details, read the related preprint on arXiv.
- New contribution to Nature Machine Intelligence!
"Fast and energy-efficient neuromorphic deep learning with first-spike times".
See Publications - free-access link - Press Release
- And read the News & Views written by Charlotte Frenkel that accompanies the article!
"Sparsity provides a competitive advantage"
- free-access link
- 2nd PhD and Postdoc Retreat of the Department of Physiology - Sep. 10 - Info
- Congrats to Henrik and Jakob for winning two of the Idorsia prizes for academic excellence for best presentations, respectively, for best Long talk - Early PhDs and Popular Vote!
- New Preprint! Learning across three different global brain states.
- New lab member (August)
- Welcome to our new Postdoc: Dr. Katharina Wilmes
- GECCO 2021 - The Genetic and Evolutionary Computation Conference
July 12 - Info
- Henrik Mettler
presented the Poster
"Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming".
- Read our Succes Story on using the Fenix Supercomputing Infrastructure!
- CNS*2021 - Computational Neuroscience Meeting - July 4 - Info
- Andreas Baumbach
presented the Featured Oral
"Cortical oscillations support sampling-based computations in spiking neural networks" -> Recording
(first talk of the video)
- New lab member (June)
- Welcome to our new PhD student: Arno Granier
- Mushroom Body Meeting - June 2 - Info
- Walter Senn
presented "Error- or target-driven synaptic plasticity? A model of predictive learning in the mushroom body".
- Mila Neural-AI Reading Group - May 21 - Info
- Nicolas Deperrois
presented his work on "Creative memory semantization through adversarial dreaming".
- NeuroFrance 2021 - May 18-21 - Info
- On May 18, Julian Göltz talked about "Fast and deep: energy-efficient neuromorphic learning with first-spike times" at the NeuroFrance 2021 satellite workshop "Neuroscience and Artificial Intelligence"
- On May 20, Walter Senn
presented "An EBRAINS application: Learning a functional (iEEG) connectome" at the Theoretical and computational approaches in neuroscience: European neuroinformatics platform EBRAINS
Symposium.
- New lab member (May)
- Welcome to our new Postdoc: Dr. Federico Benitez
- New Preprint! Single neurons perform bayes-optimal cue integration.
- On Apr. 15, Elena Kreutzer
defending successfully her PhD thesis!
- NEUROTECH Education Programme: day 6 - Apr. 13 - Info
To answer this question, Laura Kriener presented her work on "Fast and deep: energy-efficient neuromorphic learning with first-spike times" -> Recording
- Our work featured in the last issue of ERCIM News !
-
Read our contribution:
Uncovering Neuronal Learning Principles through Artificial Evolution
- New Article! How predictive plasticity encodes olfactory learning in fruit flies.
- New contribution to a Preprint! How cortical oscillations shape spike-based probabilistic inference in the brain.
"Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks". See Publications
- NICE 2021 - Neuro-Inspired Computational Elements - Mar. 16-19 - Info
- ** Congratulations to Jakob for winning the NEUROTECH prize
for best early researcher **
Three selected Talks
- Elena Kreutzer
Natural gradient learning for spiking neurons -> Recording
- Jakob Jordan
Conductance-based dendrites perform reliability-weighted opinion pooling -> Recording
- Walter Senn
Lessons from neurobiology and physics: pseudobackprop & more
- Cosyne 2021 - Computational and Systems Neuroscience - Feb. 24 - Info
- Four selected posters and four new opportunities to disseminate our work!
- Nicolas Deperrois
Creative memory semantization through adversarial dreaming
- Jakob Jordan
Learning dendritic opinion weighting by cortical neurons
Evolving to learn: discovering interpretable plasticity rules for spiking networks
- Michael Müller
A functional role of cortical oscillations for probabilistic computation in spiking neural networks
- New lab member (February)
- Welcome to our new Postdoc : Dr. Kevin Max
- Intel Neuromorphic Research Community (INRC) Workshop - Feb. -
- Laura Kriener
presented the talk "Lava Implementation of Biologically Plausible Deep Learning with Structured Neurons".
- New contribution to a Preprint! E2L in an unsupervised network.
- New Article! A NEAT reduction of complex neuronal models accelerates brain research.
"Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses". See Publications - Press Release
- New lab member (January)
- Welcome to our new research assistant : Ben von Hünerbein
