Bernstein Conference 2021
Location
Online
Invited Lectures
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
Daniel 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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