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Bernstein Conference 2021

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Timothy Behrens

Athena Akrami

Nadine Gogolla

Jennifer Li

Drew Robson

Ashok Litwin-Kumar

Daniela Vallentin

Badr Albanna

Torben Ott

Ahnaf Ashab Pathan

Dante Chialvo

Claudius Gros

Loenzo Fontolan

Klaus Wimmer

Robert Froemke

Kiyohito Ligaya

Lea Duncker

Pablo Tano

Peter Dayan

Jakob Foerster

Pascal Fries

Farzan Nadim

Carmen Canavier

Michelle McCarthy

Eran Stark

Zeinab Esmaeilpour

John White

Florencia Lacaruso

Pulin Gong

Simon Rumpel

Julijana Gjorgjieva

Ramin Khajeh

Merav Stern

Carl Petersen

Fabian Sinz

Alexander Ecker

Janne Lappalainen

Bernd Illing

Oleg Vinogradov

Katherine Storrs

Sven Goedeke

Taro Toyoizumi

Paul Manz

Carl Schoonover

William Mau

Simona Olmi

Aine Byrne

David Dahmen

Tilo Schwalger

Gianluigi Mongillo

Matteo di Volo

Halgurd Taher

Alain Destexhe

Yuxiu Shao

Ljubica Cimesa

Mattia Rigotti

SueYeon Chung

Fabio Sartori

Surbhit Wagle

Tatjana Tchumatchenko

Hye Yoon Park

Daniel Choquet

Mark van Rossum

Paul Bressloff

Anne-Sophie Hafner

Ashley Bourke

Julia Sprenger

Eve Marder

Christian Meisel

Joseph Paton

Mitsuko Watanabe-Uchida

Marc Bellemare

Rachel Lee

Sven Dorkenwald

Stefano Panzeri

Andrew Saxe

Cian O'Donnell

Computational neuroscientist at University of Bristol

Meytar Zemer

Carsen Stringer

Abigail Russo

Timothy O'Leary

Noam Ziv

Peter Stern

Senior Editor, Neuroscience at Science

Jarno Mikkonen

Patenting at Berggren

Stephan Waldert

Manager and Tech Lead at arm

Neta Zach

Senior Scientific Director at Takeda

Dr. Simone Cardoso de Oliveira

Freelance Research & Innovation Facilitator

Guillaume Hennequin

University of Cambridge

Scott Linderman

Stanford University

Ida Momennejad

Senior Research in Reinforcement Learning, Microsoft Research NYC

Cristina Savin

Assist. Prof. Neural Science and Data Science

Marion Silies

JGU Mainz

Manuel Beiran

Theoretical neuroscientist

Yul Kang

Navigation, Memory, Active Sensing, Decision

Anna Kutschireiter

Computational Neuroscientist @ Harvard Medical School

Claire Meissner-Bernard

Friedrich Miescher Institute for biomedical research

Alireza Modirshanechi

PhD student, Gerstner lab

Joern Davidsen

University of Calgary

Serena Di Santo

Columbia University

Carlos Stein Brito


Devika Narain

Principal Investigator at the Neural Engineering Lab

Ann Kennedy

Northwestern University

Paul Masset

Postdoc - Harvard University

Jan Drugowitsch

Harvard Medical School

Horacio Rotstein

Federated Dep. of Biological Sciences. New Jersey Institute of Technology & Rutgers University

Arvind Kumar

Associate Professor of Computational Neuroscience

Jorge Mejias

Computational neuroscientist

Warren Grill

Professor of Biomedical Engineering, Duke University

Francesco Fumarola


Lukasz Kusmierz


Julia Gallinaro

Imperial College London

Roxana Zeraati

University of Tübingen

Felipe Yaroslav Kalle Kossio

University of Bonn

Jens-Bastian Eppler

Frankfurt Institute for Advanced Studies

Lee Susman


Michael E. Rule

University of Cambridge

Federico Devalle

Centre de Recerca Matemàtica

Sara A Solla

Northwestern University

Ji Xia

PhD student, Washington University in St. Louis

Alessandro Torcini

CY Cergy Paris Universite'

Maurizio Mattia

Istituto Superiore di Sanità

Joao Barbosa


Adrian Valente

Ecole Normale Superieure

Friedrich Schuessler

PhD student with Omri Barak at the Technion, Israel

Marina Mikhaylova

AG Optobiology

Katharina Anna Wilmes


Rodrigo Pena

PhD, Computational Neuroscientist @NJIT

HyungGoo Kim

Assistant Professor at SKKU (Sunkyunkwan University)

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Job Board

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Poster I-1

Off-Policy Continuous Control Using Distributional Reinforcement Learning

Poster I-2

Focal and Non-focal classification using resting state EEG signal

Poster I-3

When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale neural codes of EEG

Poster I-4

Visualizing Artificial Neural Network Activations as Topographic Maps

Poster I-5

Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification

Poster I-6

Correlation may lead you astray

Poster I-7

How to train RNNs on chaotic neural data?

Poster I-8

Normalization Hyperparameter Search for Converted Spiking Neural Networks

Poster I-9

Distributed Planning with Active Inference

Poster I-10

Learning and forgetting from the perspective of control

Poster I-11

Learning a categorization task through confidence-controlled Hebbian learning

Poster I-12

Drifting Memories: spontaneous long-term evolution of memory representations in the hippocampus

Poster I-13

Population Codes Enable Learning from Few Examples by Shaping Inductive Bias

Poster I-14

Behavioral cloning in recurrent spiking networks: A comprehensive framework

Poster I-15

Learning of salient events counteracts episodic memory forgetting in a spiking cortical network model

Poster I-16

Creative memory semantization through adversarial dreaming

Poster I-17

The infomax approach reproduces state-dependent synaptic plasticity and memory reorganization during non-REM sleep

Poster I-18

Perturbation-based learning of temporally extended tasks

Poster I-19

Hippocampal remapping at doorways may indicate spatial hierarchization

Poster I-20

Three-Dimensional Unsupervised Probabilistic Pose Reconstruction (3D-UPPER) Method for Freely Moving Animals

Poster I-21

Dopaminergic modulation of metacontrol

Poster I-22

Midbrain dopamine activity codes intrinsic motivation while improving perception in a working memory task.

Poster I-23

Neural mechanisms of distributed value representations and learning strategies

Poster I-24

Spatial properties of visual field in short term memory

Poster I-25

Epileptic discharges in mathematical models and rat brain slices

Poster I-26

Study of the synaptic activity of the substantia nigra in a rat model of Parkinson's disease: Protective effect of bacterial melanin.

Poster I-27

Impact of Fragile X mutation on local and global spontaneous activity in the developing sensory cortex

Poster I-28

Influence of E/I balance in peri-personal space differences in schizophrenia and autism: a neural network approach

Poster I-29

Study of the thalamocortical dynamics in the visual pathway using in silico model

Poster I-30

Explainable AI for Multimodal Neural Time-series Classification and Application to Parkinson's Tremor

Poster I-31

In silico Analysis and Characterization of Hematopoietic stem cell lineage and Olfactory Transduction pathways in Multiple Sclerosis.

Poster I-32

Modeling multi-channel Electroencephalogram (EEG) signals for multiple sleep stages using an oscillatory neural network

Poster I-33

Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network

Poster I-34

The incentive circuit of the fruit fly brain: a computational perspective

Poster I-35

The role of network topology and sex-specific connectivity in the circuit for nociceptive behaviors in C. elegans

Poster I-36

How morphology affects neuronal excitability type

Poster I-37

Low-dimensional firing-rate models for finite-size populations of renewal-type spiking neurons

Poster I-38

Gaussian Mean-Field Methods Approximating Neural Learning and Fluctuationsv

Poster I-39

How spiking neural networks can flexibly trade-off performance and energy use

Poster I-40

Nonequilibrium Green’s Functions for Functional Connectivity in the Brain

Poster I-41

Self-organized criticality in hierarchical modular networks of Galves-Löcherbach neurons

Poster I-42

Nonlinear optimal control of neural populations

Poster I-43

Neuromodulation effect on the resting state - simulation study

Poster I-44

Influence of sound on empirical brain networks

Poster I-45

Approximating transient dynamics of hippocampal ripple oscillations in an inhibitory network model

Poster I-46

Modulation of the cortical state by serotonergic (5-HT) receptors: a study combining optogenetic tools and multi-channel electrode recordings in mouse visual cortex

Poster I-47

A flow-based latent state generative model of neural population responses to natural images

Poster I-48

Frontal and Temporal Areas are Involved in Extracting Information from Sounds in Presence of Temporal Distortions

Poster I-49

Hierarchical generative model of low-level vision

Poster I-50

A bridge between physiological and perceptual views of autism by means of sampling-based Bayesian inference

Poster I-51

Monosynaptic activation of inhibitory neurons in mouse superior colliculus by retinal ganglion cells in vivo

Poster I-52

Differences in beliefs about stimulus generation explain individual perceptual biases

Poster II-53

Bayesian inference methods to assess the asymmetries in the population variances and covariances of measures characterizing the shapes and sizes of human brain regions

Poster II-54

Attack-Based Identification of Most-Informative Directions in Binary Classification

Poster II-55

An Information-theoretic Quantification of the Content of Information Flow Across Neurons and Brain Areas

Poster II-56

Influence of the Balance of Excitatory and Inhibitory Neurons on Reservoir Computing Performance: Importance of Inhibition for Network Performance

Poster II-57

Data driven features learning based on a weak supervision paradigm for detection and clustering of epileptiform waveforms observed in local field potential recordings

Poster II-58

A unified mechanism accounts for diverse replay types in the hippocampus and is optimized for spatial learning

Poster II-59

Identity Expression Ambiguity

Poster II-60

Modeling the development of optic flow processing in primates using spiking neural networks and Hebbian learning

Poster II-61

Going beyond the point neuron: active dendrites and sparse representations for continual learning

Poster II-62

Activity-dependent growth of cortical dendrites through the formation and removal of synapses

Poster II-63

Dynamic and selective engrams emerge from synaptic plasticity upon memory consolidation

Poster II-64

Encoding memories in spiking irregularity of a network with excitatory and inhibitory plasticity

Poster II-66

Neural-ECM interactions in small neural circuits

Poster II-67

Reinforcement Learning and Synchronization Transition in a Spiking Neural Network

Poster II-68

Spike-based symbolic computations on symbol sequences

Poster II-69

Inhibitory plasticity – one mechanism to shape representational and metabolic efficiency

Poster II-70

Modelling and simulation of synaptic plasticity using NESTML and NEST Simulator

Poster II-71

How similar are representations of observed and executed grasps in the frontoparietal cortical grasping network?

Poster II-72

Mapping behavioral variation across fish species

Poster II-73

Electrical and chemical synapses cooperating to achieve robust swimming motion in the spinal central pattern generator of zebrafish

Poster II-74

A Multiscale Computational Model of Levodopa Medication Effect on Arm Reaching in Parkinson's Disease

Poster II-76

Active sensing in navigation

Poster II-77

Redundancy in cerebellar circuits facilitates rapid online learning

Poster II-78

Modelling the generation of human upper-limb reaching trajectories: an extended behavioural attractor dynamics approach

Poster II-79

Task demands drive different navigation strategies and distinct types of spatial representations

Poster II-81

Contribution of intrinsic and synaptic currents to in vivo-like neuronal activity

Poster II-82

Analysis of diameter fluctuations in dendrites of cortical neurons

Poster II-83

Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework

Poster II-84

Using the Arbor simulator to replicate a published result: Uncertainty Propagation in Nerve Impulses Through the Action Potential Mechanism

Poster II-85

Neuronal membrane mechanical deformation under voltage-step change

Poster II-86

Rich and lazy learning in RNNs trained on neuroscience tasks?

Poster II-87

Chronic optogenetic stimulation regularizes collective activity of neuronal cultures

Poster II-88

Recurrent spiking neural networks trained to discriminate time intervals perform Bayesian computations

Poster II-89

Relating local connectivity and global dynamics through low-rank structure in excitatory-inhibitory networks

Poster II-90

The Emergence of Computational Capacity in Developing Biological Neural Networks

Poster II-91

NEST Desktop: A web-based GUI for the NEST Simulator

Poster II-92

Spiral waves in the brain and in the heart modeled by spatiotemporal chaos in coupled map lattices

Poster II-93

Inferring low-rank network models from neural activity

Poster II-94

Simulating anticipatory activity in a 1D Spiking Neuronal Network Model

Poster II-95

Minimal model of cultured neuronal networks population dynamics

Poster II-96

Paradoxical phase response of gamma rhythms facilitates their entrainment in heterogeneous networks

Poster II-97

Evaluating the dynamical state of the visual brain during optic flow noise processing in zebrafish

Poster II-98

Attentional modulation of intrinsic timescales in visual cortex and its underlying network mechanisms

Poster II-99

A spiking neural network for encoding comodulation in the cochlea nucleus

Poster II-100

Biologically plausible single-layer networks for blind nonnegative source separation

Poster II-101

Further evidence for V1 Saliency Hypothesis from an anomalous visual search behavior: a replication study and its extension

Poster II-102

The neural code implicitly controls the geometry of probabilistic inference in early olfactory processing

Poster II-103

Uniform cortical stimulation in the early visual cortex evokes modular patterned activity through intracortical network interactions

Poster II-104

A mechanistic theory of contextual modulations of cortical processing.

Poster II-105

A developmental model for the emergence of an orientation preference map in the mouse superior colliculus

Poster III-106

Evaluating pipelines that detect functional connectivity from EEG

Poster III-107

Differential classification between Schizophrenia and Bipolar Disorder using multiple brain parcellation ensemble machine learning with resting-state fMRI

Poster III-108

Full-stack inference of low-dimensional dynamical neural models

Poster III-109

Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling

Poster III-110

A partial information decomposition for discrete and continuous random variables

Poster III-111

Artificially generated muscle signals

Poster III-112

Normative modeling of MEG connectivity in the resting state

Poster III-113

Estimation of Spontaneous Transient Dynamics based on Peri-event Data

Poster III-114

Homeostatic structural plasticity can explain complex effects of tDCS on learning

Poster III-115

Long- and short-term history effects in a spiking network model of statistical learning

Poster III-116

STDP-based learning of stable, overlapping assemblies

Poster I-117

Evolution of neural activity in circuits bridging sensory and abstract knowledge

Poster III-118

Homeostatic synaptic scaling optimizes learning in feature-based models of large neural population codes

Poster III-119

Short- and long-term plasticity shape inter-stimulus interval-dependent responses in the auditory cortex

Poster III-120

Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks

Poster III-121

Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity

Poster III-122

Probing learning dynamics in brain-machine interfaces using recurrent neural networks

Poster III-123

Prediction Error and Memory: Insights from a Computational Model

Poster III-124

Reversed KCC2 co-transport buffers post-excitatory potassium in the perisynaptic space – modelling and experimental evidence

Poster III-125

The metabolic cost of protein localization

Poster III-126

Compartmental models with user-defined trans-membrane currents in NEST and NESTML

Poster III-127

On the role of astrocytes in determining the firing irregularity of neurons

Poster III-129

A model of asynchronous release in the hippocampal synapse between the CCK/CB1-positive interneurons and CA1 pyramids

Poster III-130

Biophysical parameters modulate information transfer in a spiking network model

Poster III-131

Are pre-synaptic inhibition and regulatory feedback essential for recognition processing?

Poster III-132

Sparse Distributed Memory using Spiking Neural Networks on Nengo

Poster III-133

Early-selection of relevant stimuli through context-dependent population dynamics during flexible behaviour

Poster III-134

Model order reduction of the C.Elegans nervous system with POD-DEIM

Poster III-135

Information-metabolically optimal E-I balance in a network of heterogeneous neurons

Poster III-136

Recurrent Neural Networks with Dendrites for Inferring Nonlinear Dynamical Systems from Neural Recordings

Poster III-137

Desynchronization transitions in neural systems with synaptic plasticity

Poster III-138

Ripple oscillations and sequence generation in two-population models of hippocampus CA1

Poster III-139

Variable critical exponents induced by topology-dependent coalescence in a branching network

Poster III-140

Active dendrites support robust synchronous spiking computation

Poster III-141

Optimizing for fast sampling-based inference yields oscillatory dynamics in a spiking model of primary visual cortex

Poster III-142

Geometry of population activity in spiking networks with low-rank structure

Poster III-143

Coding for the immediate future with heterogeneous postsynaptic potentials

Poster III-144

Neural mass modelling reveals excitability underlying calcium imaged pentylenetetrazole induced seizures

Poster III-145

Self-Organized Neural Network by Short-Term and Long-Term Synaptic Plasticity

Poster III-146

Input correlations impede suppression of chaos and learning in balanced rate networks

Poster III-147

Stochastic excitable system with slowly adapting feedback

Poster III-148

A generative model based theory of thalamic and cortical microcircuits for visual inference

Poster III-149

FitzHugh–Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena

Poster III-150

On Probing the Psychophysics of “Objectness”

Poster III-151

The anterior paired lateral neuron normalizes odour-evoked responses at the mushroom body calyx

Poster III-152

Encoding beats beyond Nyquist frequency requires a power-law threshold non-linearity in Apteronotus leptorhynchus

Poster III-153

Late CNV-P2 amplitude as neural index of time interval perception

Poster III-154

Large scale paired recordings with Neuropixels probes in vivo reveal strong and specific retinotectal connections in mammals and birds

Poster III-155

A model investigation of synaptic transmission tuned via the Unc13 protein.

Poster III-156

Orientation preference maps in the Dunnart (Sminthopsis crassicaudata) V1 reveals novel V1 functional organisation

Poster III-157

Extensive dimensionality of neural circuit manifolds associated with a salt-and-pepper organization of cortical stimulus preferences

Poster IV-158

Rank similarity filters for computationally-efficient machine learning on high dimensional data

Poster IV-159

Collaboration and publication with the G-Node research data infrastructure services

Poster IV-160

ToM(Theory of Mind)-ML: Machine Learning predicts Mentalization

Poster IV-161

Signature and Function of Cognitive Hub-like Operations in Artificial Agents

Poster IV-162

Probabilistic Population Coding of Boolean Functions in Critical Network Cascades

Poster IV-163

Beyond error correction: integration of error-related potentials into brain-computer interfaces for improved performance

Poster IV-164

Distinct directional modulations of hippocampal theta scale spike timing in areas CA1 and CA3

Poster IV-165

Pattern recognition in populations of mouse neurons

Poster IV-166

High channel-count neural recordings in monkeys reveal the diverse underpinnings of novelty detection across brain circuits

Poster IV-167

Dynamics of drifting receptive fields during noisy representation learning

Poster IV-168

Modelling the experimental heterogeneity of synaptic plasticity

Poster IV-169

Systematic exploration of neuron type differences in standard plasticity protocols employing a novel pathway based plasticity rule

Poster IV-170

Self-healing neural codes: Hebbian and homeostatic mechanisms can track evolving neural representations

Poster IV-171

Deep predictive learning with local gradient information

Poster IV-172

Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks

Poster IV-173

Nonlinear Dendritic Coincidence Detection for Supervised Learning

Poster IV-174

Neural States of Working Memory: Integrating Activity-Based and Activity-Silent Neural Mechanisms in a Large-Scale Spiking Neuron Model

Poster IV-175

Achieving stable recurrent excitation by homeostatic setpoints in Hebbian synaptic plasticity

Poster IV-176

Learning Accurate Path Integration in Ring Attractor Models of the Head Direction System

Poster IV-177

Efficient coding of working memory

Poster IV-178

Anterior cingulate cortex represents cue relevance in a context-shifting task

Poster IV-179

Glutamatergic afferents to the nucleus accumbens integrate outcome in reward-learning

Poster IV-180

The dopamine circuit as a reward-taxis navigation system

Poster IV-181

Information routing in an analytically tractable model of critical dynamics.

Poster IV-182

Perceptual decisions results from the accumulation of unpredicted sensory evidence

Poster IV-183

Are insect brains large enough to fit bump attractors for path integration?

Poster IV-184

Disentangling the contribution of feedback cues and sensorimotor transformations to context-specific social interactions in <i>Drosophila melanogaster</i>

Poster IV-185

Bayesian brains and the Rényi divergence

Poster IV-186

Oscillatory pattern of saccadic eye-movements in macaque FEF

Poster IV-187

Low-dimensional shared variability affects communication between brain areas

Poster IV-188

Exact reduction for networks of neurons with complex dynamic phenotypes: applications to theta generation in the Entorhinal cortex

Poster IV-189

Daleian networks accurately approximate the computation performed by random recurrent spiking neural networks

Poster IV-190

Arousal model for cortical alpha- rhythms: the role of the ascending reticular arousal system

Poster IV-191

A reservoir of timescales in random neuronal networks

Poster IV-192

Spike synchrony in CA3 is related to delta and theta oscillations within the dorsal hippocampus

Poster IV-193

Traveling Waves in Motor Cortex Arising From External Entries and Intrinsic Network Architecture With Spatially-Structured Connectivity

Poster IV-194

A model of how fiber directionality affects critical resting state dynamics of the mouse brain

Poster IV-195

Cortico-tectal circuits involved in motor preparation and navigation

Poster IV-196

A synergistic informational architecture for human brain evolution and cognition

Poster IV-197

Disentangling the role of external and intrinsic dynamics on the critical signatures of neural activity

Poster IV-198

Background correlations selectively boost the gamma-sensitivity of cortical GABAergic neurons

Poster IV-199

Modeling intermittent synchronization of gamma-band neural oscillations

Poster IV-200

Modularity and short-term plasticity establish quasi-critical network dynamics enhancing ensemble richness

Poster IV-201

Examining network dynamics under inhibitory rewiring

Poster IV-202

Time-binning data: side-effects in branching processes

Poster II-203

Perceptual Spaces and their symmetries: The geometry of color space

Poster IV-204

A perturbative approach uncovers context-dependent processing of natural scenes in the retina

Poster IV-205

Recapitulating the evolutionary transformation of visual cortex architecture in a tabletop experiment

Poster IV-206

Climb High and Look Afar: Revealing the Tuning Landscape of Ventral Stream via Image Space Optimization and Manipulation

Poster IV-207

A universal law of peripheral sensory adaptation

Poster IV-208

A normalization model for hierarchical motion perception

Poster IV-209

The Macaque Ventral Stream Shows a Hierarchical Structure for Animal-feature Encoding