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» Response Variability in Balanced Cortical Networks
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NECO
2006
58views more  NECO 2006»
13 years 7 months ago
Response Variability in Balanced Cortical Networks
Alexander Lerchner, Cristina Ursta, John Hertz, Ma...
NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 7 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
JCNS
2010
100views more  JCNS 2010»
13 years 2 months ago
Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials
During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. P...
Aman B. Saleem, Paul Chadderton, John Apergis-Scho...
NN
1998
Springer
201views Neural Networks» more  NN 1998»
13 years 7 months ago
Neural mechanisms of selection and control of visually guided eye movements
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...
Jeffrey D. Schall, Doug P. Hanes
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...