News
Tweets by CompNeuro
2022
- New lab members (May)
- Welcome to our new Research Assistant (Internship): Simon Brandt
, PhD student: Lukas Huber
and Master student: Luc Lerch
- New article in Elife: how natural-gradient descent enable efficient synaptic plasticity!
- From Cortical Microcircuits to Consciousness Symposium - Apr 11-13 - Info
- One Talk and two Poster presentations:
- Walter Senn: who also was the Scientific Chair of the symposium presented "Creative sleep, adversarial dreams, and the need of awareness."
- Nicolas Deperrois: "Learning cortical representations through perturbed and adversarial dreaming."
- Arno Granier: "The geometry of precision in predictive coding."
- New article in Elife: Learning across three different global brain states!
- "Learning cortical representations through perturbed and adversarial dreaming".
See Publications - Press Release
- New contribution to PCB: How cortical oscillations shape spike-based probabilistic inference in the brain!
- "Cortical oscillations support sampling-based computations in spiking neural networks.
See Publications
- Computational and Systems Neuroscience (COSYNE) 2022 Conference & Workshop - Mar 17-22 - Info
- Three Posters!
- -> "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons"
presented by Paul Haider.
-> "Biological multi-task learning with top-down signals presented by Matthias Tsai.
-> "Uncertainty-weighted prediction errors (UPEs) in cortical microcircuits" presented by Katharina Wilmes.
- Swiss Computational Neuroscience Retreat 2022 - Mar 2-4 - Info
- Jakob, Paul, Mihai and Walter had a great time in Crans-Montana among fellow computational neuroscientists and got to present some of our latest research:
Jakob talked about "Cortical representation learning & Bayes-optimal cue integration"
and Paul about "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons"
- 6th HBP Student Conference on Interdisciplinary Brain Research - Feb. 22-25 - Info
- Two Poster presentations:
- Ben von Hünerbein "Towards fully embedded biologically inspired deep learning on neuromorphic hardware".
- Henrik Mettler "Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming" - Recipient of the People’s Choice Best Abstract Award.
2021
- New contribution to NeurIPS: Learning with slow neurons is not a problem anymore!
This work was selected for an oral presentation at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)!
- "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons".
See Publications - Press Release
- 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
And very happy that Ben von Hünerbein stays on as a PhD student!
- 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 (Internship): Ben von Hünerbein