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Science Advances
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November 2, 2022
A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing
Guozhang Chen, Franz Scherr, Wolfgang Maass
Frontiers in Neuroscience
|
June 11, 2019
Neuromorphic Hardware Learns to Learn
Thomas Bohnstingl, Franz Scherr, Christian Pehle, et al.
Scientific Reports
|
April 12, 2024
Fast learning without synaptic plasticity in spiking neural networks
Anand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Nature Communications
|
July 19, 2020
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec, Franz Scherr, Anand Subramoney, et al.
Biological Cybernetics
|
January 7, 2026
Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M B Smith, Tarek Jabri, et al.
Plos Computational Biology
|
March 7, 2024
Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J Galván Fraile, Franz Scherr, José J Ramasco, et al.
Plos Computational Biology
|
March 30, 2026
Correction: Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J Galván Fraile, Franz Scherr, José J Ramasco, et al.
Neuron
|
February 18, 2021
Visualizing a joint future of neuroscience and neuromorphic engineering
Friedemann Zenke, Sander M Bohté, Claudia Clopath, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Science Advances
|
November 2, 2022
A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing
Guozhang Chen, Franz Scherr, Wolfgang Maass
Frontiers in Neuroscience
|
June 11, 2019
Neuromorphic Hardware Learns to Learn
Thomas Bohnstingl, Franz Scherr, Christian Pehle, et al.
Scientific Reports
|
April 12, 2024
Fast learning without synaptic plasticity in spiking neural networks
Anand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Nature Communications
|
July 19, 2020
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec, Franz Scherr, Anand Subramoney, et al.
Biological Cybernetics
|
January 7, 2026
Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M B Smith, Tarek Jabri, et al.
Plos Computational Biology
|
March 7, 2024
Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J Galván Fraile, Franz Scherr, José J Ramasco, et al.
Plos Computational Biology
|
March 30, 2026
Correction: Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J Galván Fraile, Franz Scherr, José J Ramasco, et al.
Neuron
|
February 18, 2021
Visualizing a joint future of neuroscience and neuromorphic engineering
Friedemann Zenke, Sander M Bohté, Claudia Clopath, et al.
Page
of 1