Author

Tomáš Bárta

Centre National de la Recherche ScientifiqueORCID 0000-0002-0467-3240Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:electronic health records· 2 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Christelle Monsempès· 2 shared Lubomir KostaliD· 2 shared Philippe LucasiD· 2 shared Abhishek ChatterjeeiD· 1 shared Elodie DemondioniD· 1 shared Michel RenouiD· 1 shared Paul ClémençoniD· 1 shared Tomoki FukaiiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Christelle Monsempès

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Diversity of pheromone temporal coding disruptions by plant volatiles

Paul Clémençon, Tomáš Bárta, Christelle Monsempès, Michel Renou, Philippe Lucas

The paper investigates how diverse volatile plant compounds disrupt pheromone temporal coding in moth olfactory receptor neurons.

bioRxiv · Mar 27, 2026 · PreprintNeuroscience

Memory-specific E-I balance supports diverse replay and mitigates catastrophic forgetting

Tomáš Bárta, Tomoki Fukai

This study investigates how memory-specific excitatory-inhibitory balance enables diverse replay and reduces catastrophic forgetting in a recurrent spiking network.

bioRxiv · Sep 19, 2025 · PreprintNeuroscience

Stimulus duration encoding occurs early in the moth olfactory pathway

Tomáš Bárta, Christelle Monsempès, Elodie Demondion, Abhishek Chatterjee, Lubomir Kostal, Philippe Lucas

This study shows that moth olfactory receptor neurons encode stimulus duration through spike frequency adaptation, while Drosophila neurons lack this ability for short odor pulses.

Communications Biology · Oct 3, 2024Peer-reviewedNeuroscience

Shared input and recurrency in neural networks for metabolically efficient information transmission

Tomáš Bárta, Lubomir Kostal

The paper shows that inhibitory feedback in recurrent neural networks can increase information transmission efficiency while compensating for metabolic costs through optimal synaptic strength.

PLoS Computational Biology · Feb 23, 2024Peer-reviewedNeuroscience