High-performance deep spiking neural networks with 0.3 spikes per neuron

A. Stanojevic; S. A. Wozniak; G. Bellec; G. Cherubini; A. Pantazi et al. 

Fast learning without synaptic plasticity in spiking neural networks

A. Subramoney; G. Bellec; F. Scherr; R. Legenstein; W. Maass 

Computational models of intrinsic motivation for curiosity and creativity

S. Becker; A. Modirshanechi; W. Gerstner 

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Expand-and-Cluster: Parameter Recovery of Neural Networks

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

C. F. Park; M. Barzegar-Keshteli; K. Korchagina; A. Delrocq; V. Susoy et al. 

An exact mapping from ReLU networks to spiking neural networks’ [Neural Networks(vol168, pg 74, 2023)

A. Stanojevic; S. Wozniak; G. Bellec; G. Cherubini; A. Pantazi et al. 

Surprise and novelty in the brain

A. Modirshanechi; S. Becker; J. Brea; W. Gerstner 

Computational models of episodic-like memory in food-caching birds

J. Brea; N. S. Clayton; W. Gerstner 

An exact mapping from ReLU networks to spiking neural networks

A. Stanojevic; S. Woźniak; G. Bellec; G. Cherubini; A. Pantazi et al. 

Supervised learning and inference of spiking neural networks with temporal coding

A theory of memory consolidation and synaptic pruning in cortical circuits

Modulation of working memory duration by synaptic and astrocytic mechanisms

S. Becker; A. Nold; T. Tchumatchenko 

A taxonomy of surprise definitions

A. Modirshanechi; J. Brea; W. Gerstner 

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

V. Liakoni; M. P. Lehmann; A. Modirshanechi; J. Brea; A. Lutti et al. 

Spike frequency adaptation supports network computations on temporally dispersed information

D. Salaj; A. Subramoney; C. Kraisnikovi; G. Bellec; R. Legenstein et al. 

Learning in Volatile Environments With the Bayes Factor Surprise

V. Liakoni; A. Modirshanechi; W. Gerstner; J. Brea 

Testing two competing hypotheses for Eurasian jays’ caching for the future

P. Amodio; J. Brea; B. G. Farrar; L. Ostojic; N. S. Clayton 

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

B. Şimşek; F. Ged; A. Jacot; F. Spadaro; C. Hongler et al. 

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

B. A. Illing; J. Ventura; G. Bellec; W. Gerstner 

Fitting summary statistics of neural data with a differentiable spiking network simulator

G. Bellec; S. Wang; A. Modirshanechi; J. M. Brea; W. Gerstner 

CauseOccam: Learning Interpretable Abstract Representations in Reinforcement Learning Environments via Model Sparsity

S. Volodin 

On the choice of metric in gradient-based theories of brain function

S. C. Surace; J-P. Pfister; W. Gerstner; J. Brea 

Spiking Neural Networks Trained With Backpropagation For Low Power Neuromorphic Implementation Of Voice Activity Detection

F. Martinelli; G. Dellaferrera; P. Mainar; M. Cernak 

A Bin Encoding Training Of A Spiking Neural Network Based Voice Activity Detection

G. Dellaferrera; F. Martinelli; M. Cernak 

Decoupling Backpropagation using Constrained Optimization Methods

A. Gotmare; V. Thomas; J. M. Brea; M. Jaggi 

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

D. S. Corneil; W. Gerstner; J. M. Brea 

Slow dynamics in structured neural network models

Model-based reinforcement learning and navigation in animals and machines

One-shot learning and eligibility traces in sequential decision making

Exponentially long orbits in Hopfield neural networks

S. P. Muscinelli; W. Gerstner; J. M. Brea 

Prospective Coding by Spiking Neurons

J. Brea; A. T. Gaal; R. Urbanczik; W. Senn 

Does computational neuroscience need new synaptic learning paradigms?

J. M. Brea; W. Gerstner 

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

F. Colombo; S. P. Muscinelli; A. Seeholzer; J. Brea; W. Gerstner