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» Spike Train Correlation Visualization
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IJON
2007
90views more  IJON 2007»
13 years 5 months ago
Spatially organized spike correlation in cat visual cortex
Inspired by optical recordings from visual cortex which show maps of orientation selectivity, and the finding that very similar patterns of population activity occur when the neu...
Denise Berger, David Warren, Richard Normann, Amos...
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
13 years 11 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
IJON
2007
79views more  IJON 2007»
13 years 5 months ago
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually inde...
Martin P. Nawrot, Clemens Boucsein, Victor Rodrigu...
IJON
2000
78views more  IJON 2000»
13 years 5 months ago
Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex
Synchronized neuronal ring has been reported in many neural systems and may play a role in the representation of sensory stimuli and the modi cation of sensory representations by ...
Arup Roy, Peter N. Steinmetz, Ken O. Johnson, Erns...
BC
2007
81views more  BC 2007»
13 years 5 months ago
Cross-intensity functions and the estimate of spike-time jitter
Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity fun...
Richard H. R. Hahnloser