Analysis of Parallel Spike Trains pp 157-172 | Cite as
Gravitational Clustering
Chapter
Abstract
When multiple spike trains are simultaneously recorded, it is desirable to screen the data for signs of neuronal association. The gravity transformation does this by representing the N observed spike trains as charges on N particles moving in an N-space. An appropriate force law results in particle trajectories and aggregations that can be interpreted in terms of dynamic neuronal interactions and of neuronal assemblies.
Keywords
Spike Train Effective Connectivity Pair Distance Neuron Pair Neuronal Assembly
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