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Neural computation

Showing results (381-390 of 3,000) with videos related to

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Neural Computation|April 29, 2008
Type I and type II neuron models are selectively driven by differential stimulus featuresGermán Mato, Inés Samengo
Neural Computation|April 29, 2008
Dependence of neuronal correlations on filter characteristics and marginal spike train statisticsTom Tetzlaff, Stefan Rotter, Eran Stark, et al.
Neural Computation|February 28, 2002
Derivation of the visual contrast response function by maximizing information rateAllan Gottschalk
Neural Computation|February 28, 2002
A Bayesian framework for sensory adaptationNorberto M Grzywacz, Rosario M Balboa
Neural Computation|February 28, 2002
Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliableWalter Senn, Martin Schneider, Berthold Ruf
Neural Computation|February 28, 2002
Impact of geometrical structures on the output of neuronal models: a theoretical and numerical analysisJianfeng Feng, Guibin Li
Neural Computation|February 18, 2006
Receptive field structures for recognitionBenjamin J Balas, Pawan Sinha
Neural Computation|February 18, 2006
Effects of fast presynaptic noise in attractor neural networksJ M Cortes, J J Torres, J Marro, et al.
Neural Computation|March 3, 2025
Active Inference and Intentional BehaviorKarl J Friston, Tommaso Salvatori, Takuya Isomura, et al.
Neural Computation|March 3, 2025
A Generalized Time Rescaling Theorem for Temporal Point ProcessesXi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos
Pageof 300

Showing results (381-390 of 3,000) with videos related to

Sort By:
Pageof 300
Neural Computation|April 29, 2008
Type I and type II neuron models are selectively driven by differential stimulus featuresGermán Mato, Inés Samengo
Neural Computation|April 29, 2008
Dependence of neuronal correlations on filter characteristics and marginal spike train statisticsTom Tetzlaff, Stefan Rotter, Eran Stark, et al.
Neural Computation|February 28, 2002
Derivation of the visual contrast response function by maximizing information rateAllan Gottschalk
Neural Computation|February 28, 2002
A Bayesian framework for sensory adaptationNorberto M Grzywacz, Rosario M Balboa
Neural Computation|February 28, 2002
Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliableWalter Senn, Martin Schneider, Berthold Ruf
Neural Computation|February 28, 2002
Impact of geometrical structures on the output of neuronal models: a theoretical and numerical analysisJianfeng Feng, Guibin Li
Neural Computation|February 18, 2006
Receptive field structures for recognitionBenjamin J Balas, Pawan Sinha
Neural Computation|February 18, 2006
Effects of fast presynaptic noise in attractor neural networksJ M Cortes, J J Torres, J Marro, et al.
Neural Computation|March 3, 2025
Active Inference and Intentional BehaviorKarl J Friston, Tommaso Salvatori, Takuya Isomura, et al.
Neural Computation|March 3, 2025
A Generalized Time Rescaling Theorem for Temporal Point ProcessesXi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos
Pageof 300