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Biological Cybernetics
|
April 23, 2017
Note on the coefficient of variations of neuronal spike trains
Johannes Lengler, Angelika Steger
Frontiers in Computational Neuroscience
|
November 27, 2014
A high-capacity model for one shot association learning in the brain
Hafsteinn Einarsson, Johannes Lengler, Angelika Steger
Elife
|
October 18, 2021
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma
Simon Schug, Frederik Benzing, Angelika Steger
Plos One
|
December 11, 2013
Reliable neuronal systems: the importance of heterogeneity
Johannes Lengler, Florian Jug, Angelika Steger
Frontiers in Computational Neuroscience
|
March 6, 2020
Adaptive Tuning Curve Widths Improve Sample Efficient Learning
Florian Meier, Raphaël Dang-Nhu, Angelika Steger
Neural Computation
|
March 24, 2017
Multiassociative Memory: Recurrent Synapses Increase Storage Capacity
Marcelo Matheus Gauy, Florian Meier, Angelika Steger
Neural Computation
|
September 17, 2019
Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction
Felix Weissenberger, Marcelo Matheus Gauy, Xun Zou, et al.
Frontiers in Computational Neuroscience
|
May 31, 2017
A Model of Fast Hebbian Spike Latency Normalization
Hafsteinn Einarsson, Marcelo M Gauy, Johannes Lengler, et al.
International Journal of Neural Systems
|
October 7, 2017
Long Synfire Chains Emerge by Spike-Timing Dependent Plasticity Modulated by Population Activity
Felix Weissenberger, Florian Meier, Johannes Lengler, et al.
Scientific Reports
|
March 17, 2018
Voltage dependence of synaptic plasticity is essential for rate based learning with short stimuli
Felix Weissenberger, Marcelo Matheus Gauy, Johannes Lengler, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Biological Cybernetics
|
April 23, 2017
Note on the coefficient of variations of neuronal spike trains
Johannes Lengler, Angelika Steger
Frontiers in Computational Neuroscience
|
November 27, 2014
A high-capacity model for one shot association learning in the brain
Hafsteinn Einarsson, Johannes Lengler, Angelika Steger
Elife
|
October 18, 2021
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma
Simon Schug, Frederik Benzing, Angelika Steger
Plos One
|
December 11, 2013
Reliable neuronal systems: the importance of heterogeneity
Johannes Lengler, Florian Jug, Angelika Steger
Frontiers in Computational Neuroscience
|
March 6, 2020
Adaptive Tuning Curve Widths Improve Sample Efficient Learning
Florian Meier, Raphaël Dang-Nhu, Angelika Steger
Neural Computation
|
March 24, 2017
Multiassociative Memory: Recurrent Synapses Increase Storage Capacity
Marcelo Matheus Gauy, Florian Meier, Angelika Steger
Neural Computation
|
September 17, 2019
Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction
Felix Weissenberger, Marcelo Matheus Gauy, Xun Zou, et al.
Frontiers in Computational Neuroscience
|
May 31, 2017
A Model of Fast Hebbian Spike Latency Normalization
Hafsteinn Einarsson, Marcelo M Gauy, Johannes Lengler, et al.
International Journal of Neural Systems
|
October 7, 2017
Long Synfire Chains Emerge by Spike-Timing Dependent Plasticity Modulated by Population Activity
Felix Weissenberger, Florian Meier, Johannes Lengler, et al.
Scientific Reports
|
March 17, 2018
Voltage dependence of synaptic plasticity is essential for rate based learning with short stimuli
Felix Weissenberger, Marcelo Matheus Gauy, Johannes Lengler, et al.
Page
of 2