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» Learning cortical topography from spatiotemporal stimuli
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BC
2000
84views more  BC 2000»
13 years 6 months ago
Learning cortical topography from spatiotemporal stimuli
Abstract. Stimulus representation is a functional interpretation of early sensory cortices. Early sensory cortices are subject to stimulus-induced modi
Jan C. Wiemer, Friederike Spengler, Frank Joublin,...
JCNS
2002
99views more  JCNS 2002»
13 years 5 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
ICASSP
2011
IEEE
12 years 10 months ago
Robust representations of cortical speech and language information
Cortical recordings with high temporal resolution enable the tracking of neuronal excitation in response to stimuli. Here intra and extracranial recordings are analyzed from exper...
Janet M. Baker, Alexander M. Chan, Ksenija Marinko...
ESANN
2007
13 years 7 months ago
Toward a robust 2D spatio-temporal self-organization
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Thomas Girod, Laurent Bougrain, Frédé...
NIPS
2003
13 years 7 months ago
Prediction on Spike Data Using Kernel Algorithms
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...