Learning spatiotemporal signals using a recurrent spiking network that discretizes time
Deep Reinforcement Learning for Subpixel Neural Tracking
Dai T, Dubois M, Arulkamaran K, Campbell J, Bass C, Billot B, Uslu F, De Paola V, Clopath C, Bharath A
Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, 2019, PMLR 102:130-150
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons
Audio-visual experience strengthens multisensory assemblies in adult mouse visual cortex
Inhibitory microcircuits for top-down plasticity of sensory representations
A deep learning framework for neuroscience
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus
Policy Consolidation for Continual Reinforcement Learning
Synaptic plasticity onto inhibitory neurons as a mechanism for ocular dominance plasticity
Cerebellar learning using perturbations
Bouvier G, Aljadeff J, Clopath C, Bimbard C, Ranft J, Blot A, Nadal J-P, Brunel N, Hakim V, Barbour B
eLife, 2018, doi:10.7554/eLife.31599
Continual Reinforcement Learning with Complex Synapses
Chaos in homeostatically regulated neural systems
Acetylcholine-modulated plasticity in reward-driven navigation: a computational study
ON-OFF receptive fields in auditory cortex diverge during development and contribute to directional sweep selectivity
Gap junction plasticity as a mechanism to regulate network-wide oscillations
Activity-Dependent Downscaling of Subthreshold Synaptic Inputs during Slow-Wave-Sleep-like Activity In Vivo
Size-Dependent Axonal Bouton Dynamics following Visual Deprivation In Vivo
Supervised learning in spiking neural networks with FORCE training
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level
Modelling plasticity in dendrites: from single cells to networks
From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction.
Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation.
Deprivation-Induced Homeostatic Spine Scaling In Vivo Is Localized to Dendritic Branches that Have Undergone Recent Spine Loss
Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
Detection of axonal synapses in 3D two-photon images
Overcoming catastrophic forgetting in neural networks.
Kirkpatrick J, Pascanu R, Rabinowitz N, Veness J, Desjardins G, Rusu AA, Milan K, Quan J, Ramalho T, Grabska-Barwinska A, Hassabis D, Clopath C, Kumaran D, and Hadsell R
Proceedings of the National Academy of Sciences, 2017
Variance and Invariance of Neuronal Long-term Representations.
The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective.
Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.
Emergent spatial synaptic structure from diffusive plasticity
Local inhibitory plasticity tunes macroscopic brain dynamics and allows the emergence of functional brain networks.
Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance.
A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice.
Long Term Plasticity, Biophysical Models.
The emergence of functional microcircuits in visual cortex.
Optimal properties of analog perceptrons with excitatory weights.
Storage of correlated patterns in standard and bistable Purkinje cell models.
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks.
A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
Synaptic consolidation: an approach to long-term learning.
Voltage and Spike Timing interact in STDP - a Unified Model.
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis.
Tag-Trigger-Consolidation: A model of early and late long-term potentation and depression.
An online Hebbian learning rule that performs Independent Component Analysis.
Firing Patterns in the Adaptive Exponential Integrate-and-Fire.
Predicting Neuronal Activity with Simple Models of the Threshold Type: Adaptive Exponential Integrate-and-Fire Model with Two Compartments.