Journal ArticleDOI
Differences in spiking patterns among cortical neurons
TLDR
It is found that a measure of the local variation of interspike intervals, LV, is nearly the same for every spike sequence for any given neuron, while it varies significantly among neurons.Abstract:
Spike sequences recorded from four cortical areas of an awake behaving monkey were examined to explore characteristics that vary among neurons. We found that a measure of the local variation of interspike intervals, Lv, is nearly the same for every spike sequence for any given neuron, while it varies significantly among neurons. The distributions of Lv values for neuron ensembles in three of the four areas were found to be distinctly bimodal. Two groups of neurons classified according to the spiking irregularity exhibit different responses to the same stimulus. This suggests that neurons in each area can be classified into different groups possessing unique spiking statistics and corresponding functional properties.read more
Citations
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Journal ArticleDOI
A Large-Scale Model of the Functioning Brain
Chris Eliasmith,Terrence C. Stewart,Xuan Choo,Trevor Bekolay,Travis DeWolf,Yichuan Tang,Daniel Rasmussen +6 more
TL;DR: A 2.5-million-neuron model of the brain (called “Spaun”) is presented that bridges the gap between neural activity and biological function by exhibiting many different behaviors and is presented only with visual image sequences.
Journal ArticleDOI
A Method for Selecting the Bin Size of a Time Histogram
TL;DR: A method for objectively selecting the bin size from the spike count statistics alone, so that the resulting bar or line graph time histogram best represents the unknown underlying spike rate.
Journal ArticleDOI
Neuronal Mechanisms of Cortical Alpha Oscillations in Awake-Behaving Macaques
TL;DR: The amplitude of alpha activity in V2 and V4 was negatively correlated with behavioral performance, whereas the opposite was true in IT, and the alpha rhythm in IT thus appears to differ from that in the lower-order cortices, both in terms of its underlying physiological mechanism and its behavioral correlates.
Journal ArticleDOI
Kernel bandwidth optimization in spike rate estimation
TL;DR: It is revealed that the classical kernel smoother may exhibit goodness-of-fit comparable to, or even better than, that of modern sophisticated rate estimation methods, provided that the bandwidth is selected properly for a given set of spike data, according to the optimization methods presented here.
References
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