Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations
As multi-electrode and imaging technology begin to provide us with simultaneous recordings of large neuronal populations, new methods for modeling such data must also be developed. Here, we present a model for the type of data commonly recorded in early sensory pathways: responses to repeated trials...
Main Authors: | Dmitry R Lyamzin, Jakob H Macke, Nicholas A Lesica |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2010-11-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2010.00144/full |
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