Works by Naud, Richard

Results: 21

Dendritic Mechanisms for In Vivo Neural Computations and Behavior.

Published in:

Journal of Neuroscience, 2022, v. 42, n. 45, p. 8460, doi. 10.1523/JNEUROSCI.1132-22.2022

By:

Fischer, Lukas;
Soto-Albors, Raul Mojica;
Tang, Vincent D.;
Bicknell, Brendan;
Grienberger, Christine;
Francioni, Valerio;
Naud, Richard;
Palmer, Lucy M.;
Naoya Takahashi

Publication type:

Article

Overwriting the past with supervised plasticity.

Published in:

eLife, 2022, p. 1, doi. 10.7554/eLife.76320

By:

XINGYUN WANG;
NAUD, RICHARD

Publication type:

Article

Spike-timing prediction in cortical neurons with active dendrites.

Published in:

Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090

By:

Naud, Richard;
Bathellier, Brice;
Gerstner, Wulfram

Publication type:

Article

Spike-timing prediction in cortical neurons with active dendrites.

Published in:

Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090

By:

Naud, Richard;
Bathellier, Brice;
Gerstner, Wulfram

Publication type:

Article

The quantitative single-neuron modeling competition.

Published in:

Biological Cybernetics, 2008, v. 99, n. 4/5, p. 417, doi. 10.1007/s00422-008-0261-x

By:

Jolivet, Renaud;
Schürmann, Felix;
Berger, Thomas K.;
Naud, Richard;
Gerstner, Wulfram;
Roth, Arnd

Publication type:

Article

Firing patterns in the adaptive exponential integrate-and-fire model.

Published in:

Biological Cybernetics, 2008, v. 99, n. 4/5, p. 335, doi. 10.1007/s00422-008-0264-7

By:

Naud, Richard;
Marcille, Nicolas;
Clopath, Claudia;
Gerstner, Wulfram

Publication type:

Article

Temporal whitening by power-law adaptation in neocortical neurons.

Published in:

Nature Neuroscience, 2013, v. 16, n. 7, p. 942, doi. 10.1038/nn.3431

By:

Pozzorini, Christian;
Naud, Richard;
Mensi, Skander;
Gerstner, Wulfram

Publication type:

Article

Self-organization of a doubly asynchronous irregular network state for spikes and bursts.

Published in:

PLoS Computational Biology, 2021, v. 17, n. 11, p. 1, doi. 10.1371/journal.pcbi.1009478

By:

Vercruysse, Filip;
Naud, Richard;
Sprekeler, Henning

Publication type:

Article

Linear-nonlinear cascades capture synaptic dynamics.

Published in:

PLoS Computational Biology, 2021, p. 1, doi. 10.1371/journal.pcbi.1008013

By:

Rossbroich, Julian;
Trotter, Daniel;
Beninger, John;
Tóth, Katalin;
Naud, Richard

Publication type:

Article

Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach.

Published in:

2020

By:

Naud, Richard;
Longtin, André

Publication type:

Correction Notice

Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach.

Published in:

2019

By:

Naud, Richard;
Longtin, André

Publication type:

Correction Notice

Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach.

Published in:

Journal of Mathematical Neuroscience, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1186/s13408-019-0071-6

By:

Naud, Richard;
Longtin, André

Publication type:

Article

Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms.

Published in:

2011

By:

Mensi, Skander;
Naud, Richard;
Pozzorini, Christian;
Avermann, Michael;
Petersen, Carl C. H.;
Gerstner, Wulfram

Publication type:

Abstract

Spike-timing prediction in a neuron model with active dendrites.

Published in:

BMC Neuroscience, 2009, v. 10, p. 1, doi. 10.1186/1471-2202-10-S1-P29

By:

Naud, Richard;
Bathellier, Brice;
Gerstner, Wulfram

Publication type:

Article

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.

Published in:

PLoS Computational Biology, 2015, v. 11, n. 6, p. 1, doi. 10.1371/journal.pcbi.1004275

By:

Pozzorini, Christian;
Mensi, Skander;
Hagens, Olivier;
Naud, Richard;
Koch, Christof;
Gerstner, Wulfram

Publication type:

Article

Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram.

Published in:

PLoS Computational Biology, 2012, v. 8, n. 10, p. 1, doi. 10.1371/journal.pcbi.1002711

By:

Naud, Richard;
Gerstner, Wulfram

Publication type:

Article

Connecting levels of analysis in the computational era.

Published in:

Journal of Physiology, 2024, v. 602, n. 3, p. 417, doi. 10.1113/JP286013

By:

Naud, Richard;
Longtin, André

Publication type:

Article

Silences, spikes and bursts: Three‐part knot of the neural code.

Published in:

Journal of Physiology, 2023, v. 601, n. 23, p. 5165, doi. 10.1113/JP281510

By:

Friedenberger, Zachary;
Harkin, Emerson;
Tóth, Katalin;
Naud, Richard

Publication type:

Article

Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework.

Published in:

eLife, 2023, p. 1, doi. 10.7554/eLife.72951

By:

Harkin, Emerson F.;
Lynn, Michael B.;
Payeur, Alexandre;
Boucher, Jean-François;
Caya-Bissonnette, Léa;
Cyr, Dominic;
Stewart, Chloe;
Longtin, André;
Naud, Richard;
Béïque, Jean-Claude

Publication type:

Article

Cell-type-specific responses to associative learning in the primary motor cortex.

Published in:

eLife, 2022, p. 1, doi. 10.7554/eLife.72549

By:

Lee, Candice;
Harkin, Emerson F.;
Xuming Yin;
Naud, Richard;
Chen, Simon

Publication type:

Article

Neural burst codes disguised as rate codes.

Published in:

Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-95037-z

By:

Williams, Ezekiel;
Payeur, Alexandre;
Gidon, Albert;
Naud, Richard

Publication type:

Article