Faculty

Institution

Unit

Venue

Nicolas Brunel

Duke School of Medicine Distinguished Professor in Neuroscience Professor of Neurobiology Professor of Physics Faculty Network Member of the Duke Institute for Brain Sciences

Duke University

Affiliations

Duke University School of Medicine

Neurobiology

Trinity College of Arts & Sciences

Physics

Nicolas Brunel is currently serving as a Duke University School Of Medicine Duke School of Medicine Distinguished Professor in Neuroscience Professor of Neurobiology Professor of Physics Faculty Network Member of the Duke Institute for Brain Sciences at Duke University.

Honors

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Experiences

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Education

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Nicolas Brunel

Duke University

Duke School of Medicine Distinguished Professor in Neuroscience Professor of Neurobiology Professor of Physics Faculty Network Member of the Duke Institute for Brain Sciences

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neuroscience systems neuroscience cognitive neuroscience computational neuroscience neurophysiology neurodynamics electrophysiology neural science neurology cognitive science neural computation computational biology neuroanatomy neuronal networks brain science physics working memory recurrent neural networks cellular neurobiology brain modeling network dynamics neural mechanisms chaos theory mammalian biology cortical network model persistent activity inhibitory neurons synaptic plasticity background activity animal behavior cybernetics adaptation scientific computing mathematical optimization animal cognition biocybernetics perturbation methods vision research sparse neural network oscillation theory cognitive electrophysiology eeg signal processing molecular neurobiology inhibitory spiking neurons synaptic noise firing-rate resonance optimal information storage cortical neurons hebbian learning neural networks vestibulo-ocular reflex adaptation recurrent cortical networks mean-field theory sequential activity zoology mathematical sciences stochastic dynamical systems human memory learning theory storage (memory) system dynamics complex dynamic systems hyperpolarization (biology) signaling pathways brain circuitry brain imaging plasma science structural plasticity human physiology human brain bio-inspired computation neuroimaging neuroinformatics neuroethics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Attractor Neural Networks With Double Well Synapses. PLoS Computational Biology (2024)

Yu FengNicolas Brunel

systems neuroscienceattractor neural networksmachine learningneurosciencedouble well synapsescomputational biologycomputational neuroscienceneural computation

Conformal Approach to Gaussian Process Surrogate Evaluation With Coverage Guarantees. arXiv (Cornell University) (2024)

Edgar JaberVincent BlotNicolas BrunelVincent ChabridonEmmanuel RemyBertrand IoossDidier LucorMathilde MougeotAlessandro Leite

numerical analysismathematical optimizationapplied mathematicscomputer sciencemachine learningcoverage guaranteesgaussian process

Cortico-Thalamic Communication for Action Coordination in a Skilled Motor Sequence. Research Square (2024)

Z. Josh HuangYi LiXu AnPatrick J. MulcaheyYongjun QianX. Hermione XuShengli ZhaoHemanth MohanShreyas M.SuryanarayanaLudovica Bachschmid-RomanoNicolas BrunelIan Whishaw

brain mechanismscortico-thalamic communicationkinesiologymotor behaviorneurorehabilitationaction coordinationneurosciencecentral nervous systemmotor systemsskilled motor sequencespinal cordphysiologyneural mechanismsneuroanatomymotor controlneural circuitsnervous systemmotor skills

Dynamic Control of Sequential Retrieval Speed in Networks With Heterogeneous Learning Rules. eLife (2024)

Maxwell GillettNicolas Brunel

network scienceheterogeneous learning rulesdynamic controlneurosciencesequential retrieval speed

Editorial Board. Brachytherapy (2024)

A SyedMichael ZelefskyBethany AndersonGastrointestinal StrnadSteven FrankMatthew HarkenriderMitchell KamravaEye HeadPhillip DevlinChirag ShahGilad CohenMark RivardInvited FeaturesScott GlaserUsa TheranosticsNeil TaunkJaroslaw HepelJean Michael Hannoun-LeviFrance GastrointestinalPeter HassAlexandra StewartAmandeep TaggarMira KeyesGerard MortonPeter OrioChad TangEmma FieldsEric LeungWilliam SmallNeck SkinAngeles RovirosaLuca TagliaferriNikhil JoshiMartin TomAntonio DamatoChristopher DeufelDaniel ScanderbegDavid Aramburu NúñezIvan BuzurovicMauricio CambeiroMark CorkumJean-Marc CossetBrett CoxJuanita CrookJoao LuisDa SilvaBrian DavisLaura DoylePatricia EifelShirin EngerGabriel FonsecaRazvan GalalaeJose GuinotChristina GutiérrezLara HathoutEric HorwitzPeter HoskinJun ItamiChristian KirisitsManon KisselMarisa KollmeierRajat KudchadkerUsama MahmoodPatrick MclaughlinKevin MartellCanada Victor Munoz-GarzonBradley PietersCsaba PolgarAron PopovtzerLouis PottersBradley PrestidgeMarcus RandallSusan RichardsonMack RoachSimona ShaitelmanFrank-Andre SiebertNelson StoneEric VigneaultAkila ViswanathanTe VuongJunjie WangChina WernickeCatheryn YasharAtsunori YoruzuDavid Newcombe

Impact of Dendritic Non-Linearities on the Computational Capabilities of Neurons. arXiv (Cornell University) (2024)

Lauditi, ClarissaMalatesta, Enrico M.Pittorino, FabrizioBaldassi, CarloBrunel, NicolasZecchina, Riccardo

computational capabilitiesneuronsdendritic non-linearitiesneurosciencecomputational neuroscience

Inhibitory Plasticity Enhances Sequence Storage Capacity and Retrieval Robustness. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Ziyi GongNicolas Brunel

molecular biologybioinformaticsretrieval robustness

Visual Familiarity Learning at Multiple Timescales in the Primate Inferotemporal Cortex. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Krithika MohanUlises Pereira-ObilinovicStanislav SrednyakYali AmitNicolas BrunelDavid Freedman

systems neurosciencevision researchanimal cognitionneurosciencevisual familiarity learningmultiple timescalesprimate inferotemporal cortexprimate behaviorcognitive sciencecognitive neuroscience

Bayesian Reconstruction of Memories Stored in Neural Networks From Their Connectivity. PLoS Computational Biology (2023)

Sebastian GoldtFlorent KrzakalaLenka ZdeborováNicolas Brunel

systems neurosciencememoryneurosciencemachine learningcomputational neurosciencecognitive neurosciencebayesian reconstruction

Cortical Network and Projection Neuron Types That Articulate Serial Order in a Skilled Motor Behavior. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Yi LiXu AnPatrick J. MulcaheyYongjun QianX. Hermione XuShengli ZhaoHemanth MohanShreyas M. SuryanarayanaLudovica Bachschmid-RomanoNicolas BrunelIan Q. WhishawZ. Josh Huang

biophysicscortical networksystems neuroscienceprojection neuron typesmotor behaviorneural sciencemotor controlneurosciencecomputational neurosciencecognitive scienceneurophysiologyskilled motor behaviorserial ordercognitive neuroscience

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Nicolas Brunel

Duke School of Medicine Distinguished Professor in Neuroscience Professor of Neurobiology Professor of Physics Faculty Network Member of the Duke Institute for Brain Sciences

Duke University

Affiliations

Duke University School of Medicine

Neurobiology

Trinity College of Arts & Sciences

Physics

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Nicolas Brunel

Duke University

Duke School of Medicine Distinguished Professor in Neuroscience Professor of Neurobiology Professor of Physics Faculty Network Member of the Duke Institute for Brain Sciences

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Attractor Neural Networks With Double Well Synapses. PLoS Computational Biology (2024)

Yu FengNicolas Brunel

systems neuroscienceattractor neural networksmachine learningneurosciencedouble well synapsescomputational biologycomputational neuroscienceneural computation

Conformal Approach to Gaussian Process Surrogate Evaluation With Coverage Guarantees. arXiv (Cornell University) (2024)

Edgar JaberVincent BlotNicolas BrunelVincent ChabridonEmmanuel RemyBertrand IoossDidier LucorMathilde MougeotAlessandro Leite

numerical analysismathematical optimizationapplied mathematicscomputer sciencemachine learningcoverage guaranteesgaussian process

Cortico-Thalamic Communication for Action Coordination in a Skilled Motor Sequence. Research Square (2024)

Z. Josh HuangYi LiXu AnPatrick J. MulcaheyYongjun QianX. Hermione XuShengli ZhaoHemanth MohanShreyas M.SuryanarayanaLudovica Bachschmid-RomanoNicolas BrunelIan Whishaw

Dynamic Control of Sequential Retrieval Speed in Networks With Heterogeneous Learning Rules. eLife (2024)

Maxwell GillettNicolas Brunel

network scienceheterogeneous learning rulesdynamic controlneurosciencesequential retrieval speed

Editorial Board. Brachytherapy (2024)

Impact of Dendritic Non-Linearities on the Computational Capabilities of Neurons. arXiv (Cornell University) (2024)

Lauditi, ClarissaMalatesta, Enrico M.Pittorino, FabrizioBaldassi, CarloBrunel, NicolasZecchina, Riccardo

computational capabilitiesneuronsdendritic non-linearitiesneurosciencecomputational neuroscience

Inhibitory Plasticity Enhances Sequence Storage Capacity and Retrieval Robustness. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Ziyi GongNicolas Brunel

molecular biologybioinformaticsretrieval robustness

Visual Familiarity Learning at Multiple Timescales in the Primate Inferotemporal Cortex. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Krithika MohanUlises Pereira-ObilinovicStanislav SrednyakYali AmitNicolas BrunelDavid Freedman

systems neurosciencevision researchanimal cognitionneurosciencevisual familiarity learningmultiple timescalesprimate inferotemporal cortexprimate behaviorcognitive sciencecognitive neuroscience

Bayesian Reconstruction of Memories Stored in Neural Networks From Their Connectivity. PLoS Computational Biology (2023)

Sebastian GoldtFlorent KrzakalaLenka ZdeborováNicolas Brunel

systems neurosciencememoryneurosciencemachine learningcomputational neurosciencecognitive neurosciencebayesian reconstruction

Cortical Network and Projection Neuron Types That Articulate Serial Order in a Skilled Motor Behavior. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Yi LiXu AnPatrick J. MulcaheyYongjun QianX. Hermione XuShengli ZhaoHemanth MohanShreyas M. SuryanarayanaLudovica Bachschmid-RomanoNicolas BrunelIan Q. WhishawZ. Josh Huang

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