Bernstein Conference 2021
Online
Date
Sep 21 – 23
Abstracts
Invited Lectures
The 2021 online Bernstein Conference focussed on the next generation in computational neuroscience. Therefore we give the floor to the new and rising names in the field.
Athena Akrami | University College London, UK
Formation and update of sensory “prior distributions” in working memory and perceptual decision making tasks
Timothy Behrens | University of Oxford, UK
Representing the structure of problems in the frontal hippocampal circuitry
Nadine Gogolla | Max Planck Institute for Neurobiology, Martinsried, Germany
Disentangling the neural basis of emotion
Guillaume Hennequin | University of Cambridge, UK
Failing to prepare is preparing to fail: a network theory of movement preparation and execution
Jennifer Li & Drew Robson | Max Planck Institute for Biological Cybernetics, Tübingen, Germany
A dynamical systems view of neuroethology: uncovering stateful computation during zebrafish foraging
Scott Linderman | Stanford University, USA
Finding sequences in neural spike trains with Neyman-Scott processes
Ashok Litwin-Kumar | Columbia University, New York City, USA
Generalizing theories of cerebellum-like learning
Ida Momennejad | Microsoft Research, New York City, USA
Multi-scale Predictive Representations & Human-like RL
Cristina Savin | New York University, New York City, USA
Task-specific routing of information in neural circuits via structured noise
Marion Silies | Johannes Gutenberg University, Mainz, Germany
Strategies for vision in dynamically changing environments
Daniela Vallentin | Max Planck Institute for Ornithology, Seewiesen, Germany
Neural control of vocal interactions in songbirds
Valentin Braitenberg Award Winner
Eve Marder | Brandeis University, Waltham, USA
Perturbations Reveal that Degenerate Circuits Hide Cryptic Individual Variability
Contributed Talks
Badr Albanna |University of Pittburgh, Pittsburgh PA, USA
Distinct synaptic plasticity mechanisms determine the diversity of cortical responses during behavior
Manuel Beiran | École Normale Supérieure – PSL University, Paris, France
Learning parametric models of cognitive tasks through low-dimensional neural manifolds
Yul HR Kang |University of Cambridge, Cambridge, United Kingdom
Spatial uncertainty provides a unifying account of navigation behavior and grid field deformations
Anna Kutschireiter | Harvard Medical School, Boston MA, USA
A Bayesian Perspective on the Fruit Fly’s Internal Compass
Claire Meissner-Bernard | Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
Co-tuned, balanced excitation and inhibition in olfactory memory networks
Alireza Modirshanechi | Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Novelty drives exploration, whereas surprise modulates learning: the interaction of novelty, surprise, and reward in human behavior
Torben Ott | Washington University in Saint Louis, USA
Near-optimal time investments under uncertainty in humans, rats, and mice
Ahnaf Ashhab Pathan | Quantitative Neuroscience Lab, Systems Cortex, Dhaka, Bangladesh
Fully topographic deep artificial neural network for reconstructing functional heterogeneity and internal representations of visual cortex
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Our Community
Watch what the community says about the Bernstein Conference.
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Talk Collection 2021
Here you’ll find invited and contributed talks from the Bernstein Conference 2021 online.
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