A NEW APPROACH TO THE ANALYSIS OF MULTIDIMENSIONAL NEURONAL-ACTIVITY - MARKOV RANDOM-FIELDS

Authors
MAKARENKO VI WELSH JP LANG EJ LLINAS R
Citation
Vi. Makarenko et al., A NEW APPROACH TO THE ANALYSIS OF MULTIDIMENSIONAL NEURONAL-ACTIVITY - MARKOV RANDOM-FIELDS, Neural networks, 10(5), 1997, pp. 785-789
Citations number
13
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Neurosciences,"Physics, Applied
Journal title
Neural networks → ACNP
ISSN journal
08936080
Volume
10
Issue
5
Year of publication
1997
Pages
785 - 789
Database
ISI
SICI code
0893-6080(1997)10:5<785:ANATTA>2.0.ZU;2-E
Abstract
How can information hidden in a spatial configuration of neuronal acti vity be addressed? The Markov Random Field method for the analysis of the spatial component of a multidimensional neuronal process is introd uced and after simulations is applied to experimental data on rat at o livocerebellar activity. Using this method it was determined for the f irst time, that the activity demonstrates dynamic coupling and may hav e different fine spatial substructures. The results obtained support t he view that the inferior olive serves as a movement organizing centre that controls motor activity by means of spatially as well as tempora lly organized patterns of coherent activity. (C) 1997 Elsevier Science Ltd.