Memory's gatekeeper: the role of PFC in the encoding of familiar events

Github

Memory's gatekeeper: the role of PFC in the encoding of familiar events

Guerreiro I.C., Clopath C.
PNAS, 2024, https://doi.org/10.1073/pnas.2403648121


Learning to Express Reward Prediction Error-like Dopaminergic Activity Requires Plastic Representations of Time

Github

Learning to Express Reward Prediction Error-like Dopaminergic Activity Requires Plastic Representations of Time

Cone I., Clopath C., Shouval H.Z.
Nat. Com., 2024, https://doi.org/10.1038/s41467-024-50205-3


Learning with filopodia and spines: Complementary strong and weak competition lead to specialized, graded, and protected receptive fields

Github

Learning with filopodia and spines: Complementary strong and weak competition lead to specialized, graded, and protected receptive fields

Albesa-González A., Clopath C.
PLoS, 2024, https://doi.org/10.1371/journal.pcbi.1012110


De novo motor learning creates structure in neural activity space that shapes adaptation

Github

De novo motor learning creates structure in neural activity space that shapes adaptation

Chang J.C., Perich M.G., Miller L.E., Gallego J.A.*, Clopath C.*
Nat. Com., 2024, https://doi.org/10.1038/s41467-024-48008-7


The Impact of Spike Timing Precision and Spike Emission Reliability on Decoding Accuracy

ModelDB

The Impact of Spike Timing Precision and Spike Emission Reliability on Decoding Accuracy

Nicola W., Newton T. R., Clopath
Scientific Reports, 2024, https://doi.org/10.1038/s41598-024-58524-7


RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments

Github

RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments

George T.M., Rastogi M., de Cothi W., Clopath C., Stachenfeld K., Barry C.
eLife, 2024, https://doi.org/10.7554/eLife.85274


Intrinsic neural excitability biases allocation and overlap of memory engrams

Github

Intrinsic neural excitability biases allocation and overlap of memory engrams

Delamare G., Feitosa Tomé D. and Clopath C.
J. of Neurosci., 2024, doi.org/10.1523/JNEUROSCI.0846-23.2024


Minute-scale oscillatory sequences in medial entorhinal cortex

Zenodo

Latent Representations in Hippocampal Network Model Co-Evolve with Behavioral Exploration of Task Structure

Cone I and Clopath C.
Nature Communication, 2024, doi.org/10.1038/s41467-024-44871-6,


Latent Representations in Hippocampal Network Model Co-Evolve with Behavioral Exploration of Task Structure

Github

Dynamic and selective engrams emerge with memory consolidation

Feitosa Tomé D, Zhang Y, Aida T, Mosto O, Lu Y, Chen M, Sadeh S, Roy D, Clopath C
Nature Neuroscience, 2024, https://doi.org/10.1038/s41586-023-06864-1


Minute-scale oscillatory sequences in medial entorhinal cortex

EBRAINS

Minute-scale oscillatory sequences in medial entorhinal cortex

Gonzalo Cogno S et al.
Nature, 2024, https://doi.org/10.1038/s41586-023-06864-1


Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex

Zenodo

Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex

Myers-Joseph D, Wilmes KA, Fernandez-Otero M, Clopath C, Khan AG
Neuron, 2023, https://doi.org/10.1016/j.neuron.2023.11.006, 2023


Long- and short-term history effects in a spiking network model of statistical learning

ModelDB

Long- and short-term history effects in a spiking network model of statistical learning

Maes A, Barahona M, Clopath C
Scientific Reports, 2023


Synaptic weights that correlate with presynaptic selectivity increase decoding performance

Github

Synaptic weights that correlate with presynaptic selectivity increase decoding performance

Gallinaro J, Scholl B, Clopath C
PLoS CB, 2023, https://doi.org/10.1371/journal.pcbi.1011362


Age-related dysregulation of homeostatic control in neuronal micro-circuits

Age-related dysregulation of homeostatic control in neuronal micro-circuits

Radulescu CI et al.
Nature Neuroscience, 2023, https://doi.org/10.1038/s41593-023-01451-z


Dendrites help mitigate the plasticity-stability dilemma

GitHub

Dendrites help mitigate the plasticity-stability dilemma

Wilmes KA, Clopath C
Scientific Reports, 2023, https://doi.org/10.1038/s41598-023-32410-0


Multi-synaptic boutons are a feature of CA1 hippocampal connections in the stratum oriens

GitHub

Multi-synaptic boutons are a feature of CA1 hippocampal connections in the stratum oriens

Rigby M et al.
Cell Reports, 2023, https://doi.org/10.1016/j.celrep.2023.112397


Learning predictive cognitive maps with spiking neurons during behavior and replays

GitHub

Learning predictive cognitive maps with spiking neurons during behavior and replays

Bono J, Zannone S, Pedrosa V, Clopath C
eLife, 2023, https://doi.org/10.7554/eLife.80671


Postsynaptic burst reactivation of hippocampal neurons enables associative plasticity of temporally discontiguous inputs

eLife

Postsynaptic burst reactivation of hippocampal neurons enables associative plasticity of temporally discontiguous inputs

Fuchsberger T, Clopath C, Jarzebowski P, Brzosko Z, Wang H, Paulsen O
eLife, 2022, https://doi.org/10.7554/eLife.81071


Contribution of behavioural variability to representational drift

eLife

Contribution of behavioural variability to representational drift

Sadeh S, Clopath C
eLife, 2022, https://doi.org/10.7554/eLife.77907


Small, correlated changes in synaptic connectivity may facilitate rapid motor learning

GitHub

Small, correlated changes in synaptic connectivity may facilitate rapid motor learning

Feulner B, Perich MG, Chowdhury RH, Miller LE, Gallego JA, Clopath C
Nature Communications, 2022, doi.org/10.1038/s41467-022-32646-w


Dopamine and serotonin interplay for valence-based spatial learning

Zenodo

Dopamine and serotonin interplay for valence-based spatial learning

Wert Carvajal C, Reneaux M, Tchumatchenko T, Clopath C
Cell Reports, 2022, https://doi.org/10.1016/j.celrep.2022.110645


Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation

GitHub

Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation

Lee S, Mannelli SS, Clopath C, Goldt S, Saxe AM
International Conference for Machine Learning, 2022, proceedings.mlr.press/v162/lee22g.html


Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation

GitHub

Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation

Tomé DF, Sadeh S, Clopath C
Nature Communications, 2022, https://doi.org/10.1038/s41467-022-28339-z


Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits

GitHub

Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits

Prince LY, et al.
Plos Comp. Biol., 2021, doi/10.1371/journal.pcbi.1009435


Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks

ModelDB

Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks

Sadeh S, Clopath C
Science Advances, 2021, doi/10.1126/sciadv.abg8411


Free recall scaling laws and short-term memory effects in a latching attractor network

GitHub

Free recall scaling laws and short-term memory effects in a latching attractor network

Boboeva V, Pezzotta A, Clopath C
Proceedings of the National Academy of Sciences, 2021, doi/10.1073/pnas.2026092118


Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity

GitHub

Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity

Gallinaro JV, Clopath C
Plos Comp. Biol., 2021, doi/10.1371/journal.pcbi.1009593


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