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Jean-Pascal Pfister

Showing results (11-20 of 23) with videos related to

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Neural Computation|June 13, 2006
Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learningJean-Pascal Pfister, Taro Toyoizumi, David Barber, et al.
Neural Computation|February 15, 2007
Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distributionTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 30, 2005
Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmissionTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, et al.
Scientific Reports|December 13, 2017
Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perceptionAnna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, et al.
Plos Computational Biology|April 10, 2020
On the choice of metric in gradient-based theories of brain functionSimone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, et al.
Scientific Reports|August 20, 2017
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perceptionAnna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 27, 2025
Scaling of Ventral Hippocampal Activity during AnxietyCarlo Cerquetella, Camille Gontier, Thomas Forro, et al.
Plos Computational Biology|August 21, 2023
Efficient sampling-based Bayesian Active Learning for synaptic characterizationCamille Gontier, Simone Carlo Surace, Igor Delvendahl, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 25, 2014
Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortexSigrid Marie Blom, Jean-Pascal Pfister, Mirko Santello, et al.
Plos Computational Biology|May 19, 2020
Bayesian regression explains how human participants handle parameter uncertaintyJannes Jegminat, Maya A Jastrzębowska, Matthew V Pachai, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Neural Computation|June 13, 2006
Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learningJean-Pascal Pfister, Taro Toyoizumi, David Barber, et al.
Neural Computation|February 15, 2007
Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distributionTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 30, 2005
Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmissionTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, et al.
Scientific Reports|December 13, 2017
Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perceptionAnna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, et al.
Plos Computational Biology|April 10, 2020
On the choice of metric in gradient-based theories of brain functionSimone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, et al.
Scientific Reports|August 20, 2017
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perceptionAnna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 27, 2025
Scaling of Ventral Hippocampal Activity during AnxietyCarlo Cerquetella, Camille Gontier, Thomas Forro, et al.
Plos Computational Biology|August 21, 2023
Efficient sampling-based Bayesian Active Learning for synaptic characterizationCamille Gontier, Simone Carlo Surace, Igor Delvendahl, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 25, 2014
Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortexSigrid Marie Blom, Jean-Pascal Pfister, Mirko Santello, et al.
Plos Computational Biology|May 19, 2020
Bayesian regression explains how human participants handle parameter uncertaintyJannes Jegminat, Maya A Jastrzębowska, Matthew V Pachai, et al.
Pageof 3