Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function

GitHub

Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function

Kaleb K, Pedrosa V, Clopath C
Cell Reports, 2021, doi/10.1016/j.celrep.2021.109577


The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning

GitHub

The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning

Ang GWY, Tang CS, Hay YA, Zannone S, Paulsen O, Clopath C
Plos Comp. Biol., 2021, doi/10.1371/journal.pcbi.1009017


Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons

GitHub

Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons

Maes A, Barahona M, Clopath C
Plos Comp. Biol., 2021, doi/10.1371/journal.pcbi.1008866


Neural manifold under plasticity in a goal driven learning behaviour

GitHub

Neural manifold under plasticity in a goal driven learning behaviour

Feulner B, Clopath C
Plos Comp. Biol., 2021, doi/10.1371/journal.pcbi.1008621


Theory of neuronal perturbome in cortical networks

ModelDB

Theory of neuronal perturbome in cortical networks

Sadeh S, Clopath C
Proceedings of the National Academy of Sciences, 2020, doi:10.1073/pnas.2004568117


The interplay between somatic and dendritic inhibition promotes the emergence and stabilization of place fields

ModelDB

The interplay between somatic and dendritic inhibition promotes the emergence and stabilization of place fields

Pedrosa V, Clopath C
Plos Comp. Biol., 2020, doi:10.1371/journal.pcbi.1007955


Population coupling predicts the plasticity of stimulus responses in cortical circuits

GitHub

Population coupling predicts the plasticity of stimulus responses in cortical circuits

Sweeney Y, Clopath C
eLife, 2020, doi:10.7554/eLife.56053


Patterned perturbation of inhibition can reveal the dynamical structure of neural processing

ModelDB

Patterned perturbation of inhibition can reveal the dynamical structure of neural processing

Sadeh S, Clopath C
eLife, 2020, doi:10.7554/eLife.52757


Learning spatiotemporal sequences using a recurrent spiking network that discretizes time

ModelDB

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

Maes A, Barahona M, Clopath C
Plos Comp. Biol., 2020, doi:10.1371/journal.pcbi.1007606


Audio-visual experience strengthens multisensory assemblies in adult mouse visual cortex

GitHub

Audio-visual experience strengthens multisensory assemblies in adult mouse visual cortex

Knöpfel T, Sweeney Y, Radulescu C, Zabouri N, Doostdar N, Clopath C, Barnes S
Nature Communications, 2019, doi:10.1038/s41467-019-13607-2


Inhibitory microcircuits for top-down plasticity of sensory representations

GitHub

Inhibitory microcircuits for top-down plasticity of sensory representations

Wilmes K, Clopath C
Nature Communications, 2019, doi:10.1038/s41467-019-12972-2


A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus

ModelDB

A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus

Nicola W, Clopath C
Nature Neuroscience, 2019, doi:10.1038/s41593-019-0415-2


Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity

ModelDB

Synaptic plasticity onto inhibitory neurons as a mechanism for ocular dominance plasticity

Bono J, Clopath C
Plos Comp. Biol., 2019, doi:10.1371/journal.pcbi.1006834


Plasticity in Auditory Cortex

ModelDB

ON-OFF receptive fields in auditory cortex diverge during development and contribute to directional sweep selectivity

Sollini J, Chapuis G, Clopath C*, Chadderton P*
Nature Communications, 2018, doi:10.1038/s41467-018-04548-3


Supervised learning in spiking neural networks with FORCE training

ModelDB

Supervised learning in spiking neural networks with FORCE training

Nicola W, Clopath C
Nature Communications, 2017, doi:10.1038/s41467-017-01827-3


Sequential neuromodulation of Hebbian plasticity in reward-based navigation

ModelDB

Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation.

Brzosko Z*, Zannone S*, Schultz W, Clopath C#, Paulsen O#
eLife, 2017, doi:10.7554/eLife.27756


Modeling Dendritic Spikes and Plasticity

ModelDB

Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level

Bono J, Clopath C
Nature Communications, 2017, doi:10.1038/s41467-017-00740-z


The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective.

ModelDB

The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective.

Pedrosa V and Clopath C
Front. Synaptic Neurosci., 2017, doi:10.3389/fnsyn.2016.00038


Spatial structure from diffusive synaptic plasticity

ModelDB

Emergent spatial synaptic structure from diffusive plasticity

Sweeney Y, Clopath C
European Journal of Neuroscience, 2016


Network with electrical synapses and subthreshold resonance

ModelDB

Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance.

Tchumatchenko T*, Clopath C*
Nature Communications, 2014,5,5512, doi:10.1038/ncomms6512


VOR model

ModelDB

A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice.

Clopath C*, Badura A*, de Zeuuw CI and Brunel N
Journal of Neuroscience, 2014, 34(21):7203-7215


Voltage-based triplet plasticity model

ModelDB
Brian2

Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis.

Clopath C, Buesing L, Vasilaki E and Gerstner W
Nature Neuroscience, 2010, 13, 344-352

Voltage and Spike Timing interact in STDP - a Unified Model.

Clopath C and Gerstner W
Frontiers in Synaptic Neuroscience, 2010


Inhibitory plasticity model

ModelDB

Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks.

Vogels TP*, Sprekeler H*, Zenke F, Clopath C and Gerstner W
Science, 2011, 334(6062)1569-1573


TagTriC model

ModelDB

Tag-Trigger-Consolidation: A model of early and late long-term potentation and depression.

Clopath C, Ziegler L, Vasilaki E, Buesing L and Gerstner W
PLoS Comp. Biol., 2008, 4, e1000248


Adaptive Exponential Integrate-and-Fire model

ModelDB

Firing Patterns in the Adaptive Exponential Integrate-and-Fire.

Naud R, Marcille N, Clopath C and Gerstner W
Biological Cybernetics, 2008, 98:459-478

Predicting Neuronal Activity with Simple Models of the Threshold Type: Adaptive Exponential Integrate-and-Fire Model with Two Compartments.

Clopath C, Jolivet R, Rauch A, Luescher H-R and Gerstner W
Neurocomputing, 2007, 70, 1668 - 1673