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Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2010
Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity
Prashanth D'Souza, Shih-Chii Liu, Richard H R Hahnloser
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
May 16, 2014
A higher sensory brain region is involved in reversing reinforcement-induced vocal changes in a songbird
Alessandro Canopoli, Joshua A Herbst, Richard H R Hahnloser
Neural Computation
|
June 25, 2002
Attentional recruitment of inter-areal recurrent networks for selective gain control
Richard H R Hahnloser, Rodney J Douglas, Klaus Hepp
Neural Computation
|
November 16, 2002
Selectively grouping neurons in recurrent networks of lateral inhibition
Xiaohui Xie, Richard H R Hahnloser, H Sebastian Seung
Journal of Neurophysiology
|
February 24, 2006
Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird
Richard H R Hahnloser, Alexay A Kozhevnikov, Michale S Fee
Proceedings of the National Academy of Sciences of the United States of America
|
April 9, 2014
Evidence for a causal inverse model in an avian cortico-basal ganglia circuit
Nicolas Giret, Joergen Kornfeld, Surya Ganguli, et al.
Annals of the New York Academy of Sciences
|
August 18, 2004
Neural mechanisms of vocal sequence generation in the songbird
Michale S Fee, Alexay A Kozhevnikov, Richard H R Hahnloser
Nature
|
September 6, 2002
An ultra-sparse code underlies the generation of neural sequences in a songbird
Richard H R Hahnloser, Alexay A Kozhevnikov, Michale S Fee
Neural Computation
|
March 7, 2003
Permitted and forbidden sets in symmetric threshold-linear networks
Richard H R Hahnloser, H Sebastian Seung, Jean-Jacques Slotine
Journal of Physiology, Paris
|
April 23, 2013
At the interface of the auditory and vocal motor systems: NIf and its role in vocal processing, production and learning
Brian Lewandowski, Alexei Vyssotski, Richard H R Hahnloser, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 57) with videos related to
Sort By:
Page
of 6
Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2010
Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity
Prashanth D'Souza, Shih-Chii Liu, Richard H R Hahnloser
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
May 16, 2014
A higher sensory brain region is involved in reversing reinforcement-induced vocal changes in a songbird
Alessandro Canopoli, Joshua A Herbst, Richard H R Hahnloser
Neural Computation
|
June 25, 2002
Attentional recruitment of inter-areal recurrent networks for selective gain control
Richard H R Hahnloser, Rodney J Douglas, Klaus Hepp
Neural Computation
|
November 16, 2002
Selectively grouping neurons in recurrent networks of lateral inhibition
Xiaohui Xie, Richard H R Hahnloser, H Sebastian Seung
Journal of Neurophysiology
|
February 24, 2006
Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird
Richard H R Hahnloser, Alexay A Kozhevnikov, Michale S Fee
Proceedings of the National Academy of Sciences of the United States of America
|
April 9, 2014
Evidence for a causal inverse model in an avian cortico-basal ganglia circuit
Nicolas Giret, Joergen Kornfeld, Surya Ganguli, et al.
Annals of the New York Academy of Sciences
|
August 18, 2004
Neural mechanisms of vocal sequence generation in the songbird
Michale S Fee, Alexay A Kozhevnikov, Richard H R Hahnloser
Nature
|
September 6, 2002
An ultra-sparse code underlies the generation of neural sequences in a songbird
Richard H R Hahnloser, Alexay A Kozhevnikov, Michale S Fee
Neural Computation
|
March 7, 2003
Permitted and forbidden sets in symmetric threshold-linear networks
Richard H R Hahnloser, H Sebastian Seung, Jean-Jacques Slotine
Journal of Physiology, Paris
|
April 23, 2013
At the interface of the auditory and vocal motor systems: NIf and its role in vocal processing, production and learning
Brian Lewandowski, Alexei Vyssotski, Richard H R Hahnloser, et al.
Page
of 6