Publications by authors named "Jean-Pascal Pfister"

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Scaling of Ventral Hippocampal Activity during Anxiety.
Carlo Cerquetella, Camille Gontier, Thomas Forro, Jean-Pascal Pfister, Stéphane Ciocchi

J Neurosci· March 2025

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Efficient sampling-based Bayesian Active Learning for synaptic characterization.
Camille Gontier, Simone Carlo Surace, Igor Delvendahl, Martin Müller, Jean-Pascal Pfister

PLoS Comput Biol· August 2023

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Correction: Bayesian regression explains how human participants handle parameter uncertainty.
Jannes Jegminat, Maya A Jastrzębowska, Matthew V Pachai, Michael H Herzog, Jean-Pascal Pfister

PLoS Comput Biol· March 2022

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Learning as filtering: Implications for spike-based plasticity.
Jannes Jegminat, Simone Carlo Surace, Jean-Pascal Pfister

PLoS Comput Biol· February 2022

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Synaptic plasticity as Bayesian inference.
Laurence Aitchison, Jannes Jegminat, Jorge Aurelio Menendez, Jean-Pascal Pfister, Alexandre Pouget

Nat Neurosci· April 2021

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Identifiability of a Binomial Synapse.
Camille Gontier, Jean-Pascal Pfister

Front Comput Neurosci· September 2020

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Generalized priority-based model for smartphone screen touches.
Jean-Pascal Pfister, Arko Ghosh

Phys Rev E· July 2020

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Bayesian regression explains how human participants handle parameter uncertainty.
Jannes Jegminat, Maya A Jastrzębowska, Matthew V Pachai, Michael H Herzog, Jean-Pascal Pfister

PLoS Comput Biol· May 2020

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On the choice of metric in gradient-based theories of brain function.
Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea

PLoS Comput Biol· April 2020

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Model-Based Inference of Synaptic Transmission.
Ola Bykowska, Camille Gontier, Anne-Lene Sax, David W Jia, Milton Llera Montero, Jean-Pascal Pfister

Front Synaptic Neurosci· August 2019

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Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception.
Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, Jean-Pascal Pfister

Sci Rep· December 2017

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Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception.
Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, Jean-Pascal Pfister

Sci Rep· August 2017

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A Statistical Model for In Vivo Neuronal Dynamics.
Simone Carlo Surace, Jean-Pascal Pfister

PLoS One· June 2016

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Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex.
Sigrid Marie Blom, Jean-Pascal Pfister, Mirko Santello, Walter Senn, Thomas Nevian

J Neurosci· April 2014

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Matching recall and storage in sequence learning with spiking neural networks.
Johanni Brea, Walter Senn, Jean-Pascal Pfister

J Neurosci· June 2013

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A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
Julijana Gjorgjieva, Claudia Clopath, Juliette Audet, Jean-Pascal Pfister

Proc Natl Acad Sci U S A· November 2011

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STDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation.
Jean-Pascal Pfister, Peter A Tass

Front Comput Neurosci· July 2011

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STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.
Guillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister

Front Comput Neurosci· July 2011

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Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials.
Jean-Pascal Pfister, Peter Dayan, Máté Lengyel

Nat Neurosci· October 2010

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Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution.
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner

Neural Comput· March 2007

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Triplets of spikes in a model of spike timing-dependent plasticity.
Jean-Pascal Pfister, Wulfram Gerstner

J Neurosci· September 2006

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Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning.
Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner

Neural Comput· June 2006

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Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission.
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner

Proc Natl Acad Sci U S A· April 2005

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