Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity von Pfister, Jean-Pascal, Gerstner, Wulfram

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

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Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes von Surace, Simone Carlo, Pfister, Jean-Pascal

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

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

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

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

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

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

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

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Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning von Pfister, Jean-Pascal, Toyoizumi, Taro, Barber, David, Gerstner, Wulfram

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

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

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How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights von Surace, Simone Carlo, Kutschireiter, Anna, Pfister, Jean-Pascal

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

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Model-Based Inference of Synaptic Transmission von Bykowska, Ola, Gontier, Camille, Sax, Anne-Lene, Jia, David W, Montero, Milton Llera, Bird, Alex D, Houghton, Conor, Pfister, Jean-Pascal, Costa, Rui Ponte

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Generalized Bienenstock-Cooper-Munro Rule for Spiking Neurons That Maximizes Information Transmission von Toyoizumi, Taro, Pfister, Jean-Pascal, Aihara, Kazuyuki, Gerstner, Wulfram, Cooper, Leon N.

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A Unification of Weighted and Unweighted Particle Filters von Abedi, Ehsan, Surace, Simone Carlo, Pfister, Jean-Pascal

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

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The Hitchhiker’s guide to nonlinear filtering von Kutschireiter, Anna, Surace, Simone Carlo, Pfister, Jean-Pascal

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