2023
Minute-scale oscillatory sequences in medial entorhinal cortex
Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex
A generative model of the hippocampal formation trained with theta driven local learning rules
George T, Stachenfeld K, Barry C, Clopath C, Fukai T
NeurIPS, 2023
Long- and short-term history effects in a spiking network model of statistical learning
Drift of neural ensembles driven by slow fluctuations of intrinsic excitability
From recency to central tendency biases in working memory: a unifying network model
Synaptic weights that correlate with presynaptic selectivity increase decoding performance
Age-related dysregulation of homeostatic control in neuronal micro-circuits
Dendrites help mitigate the plasticity-stability dilemma
Catalyzing Next-Generation Artificial Intelligence through NeuroAI
Multi-synaptic boutons are a feature of CA1 hippocampal connections in the stratum oriens
Learning predictive cognitive maps with spiking neurons during behavior and replays
2022
Postsynaptic burst reactivation of hippocampal neurons enables associative plasticity of temporally discontiguous inputs
Contribution of behavioural variability to representational drift
Small, correlated changes in synaptic connectivity may facilitate rapid motor learning
Dopamine and serotonin interplay for valence-based spatial learning
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
A tale of two transmitters: serotonin and histamine as in vivo biomarkers of chronic stress in mice
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications
Neuronal activity in sensory cortex predicts the specificity of learning in mice
Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation
2021
Learning and attention increase visual response selectivity through distinct mechanisms
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits
Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks
Free recall scaling laws and short-term memory effects in a latching attractor network
Local circuit amplification of spatial selectivity in the hippocampus
Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity
Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function
The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning
Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons
Visualizing a joint future of neuroscience and neuromorphic engineering
Neural manifold under plasticity in a goal driven learning behaviour
2020
Inhibitory stabilization and cortical computation
Theory of neuronal perturbome in cortical networks
Interneuron-specific plasticity at parvalbumin and somatostatin inhibitory synapses onto CA1 pyramidal neurons shapes hippocampal output
The interplay between somatic and dendritic inhibition promotes the emergence and stabilization of place fields
AI for social good: unlocking the opportunity for positive impact
Population coupling predicts the plasticity of stimulus responses in cortical circuits
Patterned perturbation of inhibition can reveal the dynamical structure of neural processing
Learning spatiotemporal signals using a recurrent spiking network that discretizes time
2019
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
2018
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
2017
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.
2016
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.
2015
Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
2014
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.
2013
The emergence of functional microcircuits in visual cortex.
Optimal properties of analog perceptrons with excitatory weights.
2012
Storage of correlated patterns in standard and bistable Purkinje cell models.
2011
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.
2010
Voltage and Spike Timing interact in STDP - a Unified Model.
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis.
2008
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.
2007
Predicting Neuronal Activity with Simple Models of the Threshold Type: Adaptive Exponential Integrate-and-Fire Model with Two Compartments.