Inferring Neuronal Network Connectivity from Spike Data: A Temporal Data Mining Approach
نویسندگان
چکیده
منابع مشابه
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology and imaging allow one to simultaneously record activities of hundreds of neurons. Inferring the underlying neuronal connectivity patterns from such multi-neuronal spike train data streams is a challenging statistical and computat...
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Now that spike trains from many neurons can be recorded simultaneously, there is a need for methods to decode these data to learn about the networks that these neurons are part of. One approach to this problem is to adjust the parameters of a simple model network to make its spike trains resemble the data as much as possible. The connections in the model network can then give us an idea of how ...
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ژورنال
عنوان ژورنال: Scientific Programming
سال: 2008
ISSN: 1058-9244,1875-919X
DOI: 10.1155/2008/324626