Retour à l'annuaire 
2021-12
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
2021-11
Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
2021-10
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
2021-09
Promoting and Optimizing the Use of 3D-Printed Objects in Spontaneous Recognition Memory Tasks in Rodents: A Method for Improving Rigor and Reproducibility.
Learning function from structure in neuromorphic networks
2021-08
Forgetting Enhances Episodic Control with Structured Memories
Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information.
Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation.
2021-07
Time cell encoding in deep reinforcement learning agents depends on mnemonic demands
2021-05
The overfitted brain hypothesis.
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
Adversarial Feature Desensitization
PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks
CaLFADS: latent factor analysis of dynamical systems in calcium imaging data
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
2021-03
Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation
Parallel inference of hierarchical latent dynamics in two-photon calcium imaging of neuronal populations
2021-01
Learning from unexpected events in the neocortical microcircuit
2020-08
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.
Dimensionality and flexibility of learning in biological recurrent neural networks
2020-06
Dissociating memory accessibility and precision in forgetting
Adversarial Feature Desensitization
2020-05
Systems Consolidation Impairs Behavioral Flexibility
2020-04
Spike-based causal inference for weight alignment
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex.
Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits
2020-01
Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-Term potentiation impaired by amyloid β oligomers
2019-12
Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.
2019-10
A deep learning framework for neuroscience
2019-09
Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
Inferring hierarchies of latent features in calcium imaging data
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
2019-06
Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex
Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex
Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs
Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs
Dissociating memory accessibility and precision in forgetting [Collection]
2019-05
Moving beyond reward prediction errors
2019-02
Dendritic solutions to the credit assignment problem.
Publications collected and formatted using Paperoni
