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Robert Gütig

Showing results (1-10 of 7) with videos related to

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Science (New York, N.Y.)|March 5, 2016
Spiking neurons can discover predictive features by aggregate-label learningRobert Gütig
Current Opinion in Neurobiology|January 29, 2014
To spike, or when to spike?Robert Gütig
Nature Neuroscience|February 14, 2006
The tempotron: a neuron that learns spike timing-based decisionsRobert Gütig, Haim Sompolinsky
Plos Biology|July 8, 2009
Time-warp-invariant neuronal processingRobert Gütig, Haim Sompolinsky
Neural Computation|December 19, 2001
Statistical significance of coincident spikes: count-based versus rate-based statisticsRobert Gütig, Ad Aertsen, Stefan Rotter
Plos One|January 10, 2013
Computing complex visual features with retinal spike timesRobert Gütig, Tim Gollisch, Haim Sompolinsky, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 21, 2025
Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatialQiang Yu, Misha Tsodyks, Haim Sompolinsky, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Science (New York, N.Y.)|March 5, 2016
Spiking neurons can discover predictive features by aggregate-label learningRobert Gütig
Current Opinion in Neurobiology|January 29, 2014
To spike, or when to spike?Robert Gütig
Nature Neuroscience|February 14, 2006
The tempotron: a neuron that learns spike timing-based decisionsRobert Gütig, Haim Sompolinsky
Plos Biology|July 8, 2009
Time-warp-invariant neuronal processingRobert Gütig, Haim Sompolinsky
Neural Computation|December 19, 2001
Statistical significance of coincident spikes: count-based versus rate-based statisticsRobert Gütig, Ad Aertsen, Stefan Rotter
Plos One|January 10, 2013
Computing complex visual features with retinal spike timesRobert Gütig, Tim Gollisch, Haim Sompolinsky, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 21, 2025
Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatialQiang Yu, Misha Tsodyks, Haim Sompolinsky, et al.
Pageof 1