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123 results for Maass,+Wolfgang

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ArticlesPeer ReviewedFull Text
A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning
Author / Creator:Wu, Yujie ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2025-01, Vol.16 (1), p.342-18, Article 342
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A solution to the learning dilemma for recurrent networks of spiking neurons
Author / Creator:Bellec, Guillaume ; Scherr, Franz ; Subramoney, Anand ; Hajek, Elias ; Salaj, Darjan ; Legenstein, Robert ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-07, Vol.11 (1), p.3625-3625, Article 3625
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ArticlesPeer ReviewedFull Text
Author Correction: A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning
Author / Creator:Wu, Yujie ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2025-01, Vol.16 (1), p.1150-1, Article 1150
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Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity
Author / Creator:Nessler, Bernhard ; Pfeiffer, Michael ; Buesing, Lars ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2013-04, Vol.9 (4), p.e1003037-e1003037
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Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
Author / Creator:Buesing, Lars ; Bill, Johannes ; Nessler, Bernhard ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2011-11, Vol.7 (11), p.e1002211-e1002211
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State-dependent computations: spatiotemporal processing in cortical networks
Author / Creator:Buonomano, Dean V. ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature reviews. Neuroscience, 2009-02, Vol.10 (2), p.113-125
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Network Plasticity as Bayesian Inference
Author / Creator:Kappel, David ; Habenschuss, Stefan ; Legenstein, Robert ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2015-11, Vol.11 (11), p.e1004485-e1004485
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Local prediction-learning in high-dimensional spaces enables neural networks to plan
Author / Creator:Stöckl, Christoph ; Yang, Yukun ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2024-03, Vol.15 (1), p.2344-2344, Article 2344
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Brain computation by assemblies of neurons
Author / Creator:Papadimitriou, Christos H. ; Vempala, Santosh S. ; Mitropolsky, Daniel ; Collins, Michael ; Maass, Wolfgang
Publisher:Washington: National Academy of Sciences
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (25), p.14464-14472
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STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning
Author / Creator:Kappel, David ; Nessler, Bernhard ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2014-03, Vol.10 (3), p.e1003511-e1003511
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Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment
Author / Creator:Legenstein, Robert ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2014-10, Vol.10 (10), p.e1003859-e1003859
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A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
Author / Creator:Legenstein, Robert ; Pecevski, Dejan ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2008-10, Vol.4 (10), p.e1000180-e1000180
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Fast learning without synaptic plasticity in spiking neural networks
Author / Creator:Subramoney, Anand ; Bellec, Guillaume ; Scherr, Franz ; Legenstein, Robert ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-04, Vol.14 (1), p.8557-8557, Article 8557
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ArticlesPeer ReviewedFull Text
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons
Author / Creator:Pecevski, Dejan ; Buesing, Lars ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2011-12, Vol.7 (12), p.e1002294-e1002294
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ArticlesPeer ReviewedFull Text
Stochastic Computations in Cortical Microcircuit Models
Author / Creator:Habenschuss, Stefan ; Jonke, Zeno ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2013-11, Vol.9 (11), p.e1003311-e1003311
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ArticlesPeer ReviewedFull Text
Spike frequency adaptation supports network computations on temporally dispersed information
Author / Creator:Salaj, Darjan ; Subramoney, Anand ; Kraisnikovic, Ceca ; Bellec, Guillaume ; Legenstein, Robert ; Maass, Wolfgang
Publisher:England: eLife Science Publications, Ltd
Journal title:eLife, 2021-07, Vol.10
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ArticlesPeer ReviewedFull Text
Neuromorphic Hardware Learns to Learn
Author / Creator:Bohnstingl, Thomas ; Scherr, Franz ; Pehle, Christian ; Meier, Karlheinz ; Maass, Wolfgang
Publisher:Switzerland: Frontiers Research Foundation
Journal title:Frontiers in neuroscience, 2019-05, Vol.13, p.483
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Future Work and Enterprise Systems
Author / Creator:vom Brocke, Jan ; Maaß, Wolfgang ; Buxmann, Peter ; Maedche, Alexander ; Leimeister, Jan Marco ; Pecht, Günter
Publisher:Wiesbaden: Springer Fachmedien Wiesbaden
Journal title:Business & information systems engineering, 2018-08, Vol.60 (4), p.357-366
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ArticlesPeer ReviewedFull Text
Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex
Author / Creator:Nikolić, Danko ; Häusler, Stefan ; Singer, Wolf ; Maass, Wolfgang
Publisher:United States: Public Library of Science
Journal title:PLoS biology, 2009-12, Vol.7 (12), p.e1000260-e1000260
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Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
Author / Creator:Liu, Chen ; Bellec, Guillaume ; Vogginger, Bernhard ; Kappel, David ; Partzsch, Johannes ; Neumärker, Felix ; Höppner, Sebastian ; Maass, Wolfgang ; Furber, Steve B. ; Legenstein, Robert ; Mayr, Christian G.
Publisher:Switzerland: Frontiers Research Foundation
Journal title:Frontiers in neuroscience, 2018-11, Vol.12, p.840-840
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Showing 1 to 20 of 123 results

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A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning

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A solution to the learning dilemma for recurrent networks of spiking neurons

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Author Correction: A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning

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Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

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Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

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State-dependent computations: spatiotemporal processing in cortical networks

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Network Plasticity as Bayesian Inference

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Local prediction-learning in high-dimensional spaces enables neural networks to plan

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Brain computation by assemblies of neurons

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STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

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Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment

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A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

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Fast learning without synaptic plasticity in spiking neural networks

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Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

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Stochastic Computations in Cortical Microcircuit Models

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Spike frequency adaptation supports network computations on temporally dispersed information

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Neuromorphic Hardware Learns to Learn

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Future Work and Enterprise Systems

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Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex

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Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

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