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Robert Legenstein

Showing results (11-20 of 43) with videos related to

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Neural Computation|September 15, 2005
What can a neuron learn with spike-timing-dependent plasticity?Robert Legenstein, Christian Naeger, Wolfgang Maass
Neural Computation|December 24, 2009
Connectivity, dynamics, and memory in reservoir computing with binary and analog neuronsLars Büsing, Benjamin Schrauwen, Robert Legenstein
Plos Computational Biology|September 3, 2010
Reinforcement learning on slow features of high-dimensional input streamsRobert Legenstein, Niko Wilbert, Laurenz Wiskott
Reviews in the Neurosciences|August 22, 2003
Input prediction and autonomous movement analysis in recurrent circuits of spiking neuronsRobert Legenstein, Henry Markram, Wolfgang Maass
Archives of Orthopaedic and Trauma Surgery|March 29, 2003
Indomethacin versus meloxicam for prevention of heterotopic ossification after total hip arthroplastyRobert Legenstein, Peter Bösch, Alfred Ungersböck
Plos Computational Biology|October 11, 2008
A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedbackRobert Legenstein, Dejan Pecevski, Wolfgang Maass
Neural Computation|November 21, 2008
Spiking neurons can learn to solve information bottleneck problems and extract independent componentsStefan Klampfl, Robert Legenstein, Wolfgang Maass
Cerebral Cortex (New York, N.Y. : 1991)|November 14, 2012
Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learningGregor M Hoerzer, Robert Legenstein, Wolfgang Maass
Plos One|March 17, 2025
Non-synaptic plasticity enables memory-dependent local learningRomain Ferrand, Maximilian Baronig, Florian Unger, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 2, 2017
Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit MotifsZeno Jonke, Robert Legenstein, Stefan Habenschuss, et al.
Pageof 5

Showing results (11-20 of 43) with videos related to

Sort By:
Pageof 5
Neural Computation|September 15, 2005
What can a neuron learn with spike-timing-dependent plasticity?Robert Legenstein, Christian Naeger, Wolfgang Maass
Neural Computation|December 24, 2009
Connectivity, dynamics, and memory in reservoir computing with binary and analog neuronsLars Büsing, Benjamin Schrauwen, Robert Legenstein
Plos Computational Biology|September 3, 2010
Reinforcement learning on slow features of high-dimensional input streamsRobert Legenstein, Niko Wilbert, Laurenz Wiskott
Reviews in the Neurosciences|August 22, 2003
Input prediction and autonomous movement analysis in recurrent circuits of spiking neuronsRobert Legenstein, Henry Markram, Wolfgang Maass
Archives of Orthopaedic and Trauma Surgery|March 29, 2003
Indomethacin versus meloxicam for prevention of heterotopic ossification after total hip arthroplastyRobert Legenstein, Peter Bösch, Alfred Ungersböck
Plos Computational Biology|October 11, 2008
A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedbackRobert Legenstein, Dejan Pecevski, Wolfgang Maass
Neural Computation|November 21, 2008
Spiking neurons can learn to solve information bottleneck problems and extract independent componentsStefan Klampfl, Robert Legenstein, Wolfgang Maass
Cerebral Cortex (New York, N.Y. : 1991)|November 14, 2012
Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learningGregor M Hoerzer, Robert Legenstein, Wolfgang Maass
Plos One|March 17, 2025
Non-synaptic plasticity enables memory-dependent local learningRomain Ferrand, Maximilian Baronig, Florian Unger, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 2, 2017
Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit MotifsZeno Jonke, Robert Legenstein, Stefan Habenschuss, et al.
Pageof 5