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.
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Gerstein, G. (2010). Gravitational Clustering. In: Grün, S., Rotter, S. (eds) Analysis of Parallel Spike Trains. Springer Series in Computational Neuroscience, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5675-0_8
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DOI: https://doi.org/10.1007/978-1-4419-5675-0_8
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