IFLYSIB   05383
INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
artículos
Título:
SUPERLINEAR SUMMATION OF INFORMATION IN PREMOTOR NEURON PAIRS
Autor/es:
FERNANDO MONTANI; ANDRIY OLIYNYK; LUCIANO FADIGA
Revista:
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS.
Editorial:
WORLD SCIENTIFIC PUBL CO PTE LTD
Referencias:
Lugar: London, UK; Año: 2017 vol. 27 p. 1650009 - 1650033
ISSN:
0129-0657
Resumen:
Whether premotor/motor neurons encode information in terms of spiking frequency or by their relative time of firing, which may display synchronization, is still undetermined. To address this issue, we used an information theory approach to analyze neuronal responses recorded in the premotor (area F5) and primary motor (area F1) cortices of macaque monkeys under four different conditions of visual feedback during hand grasping. To evaluate the sensitivity of spike timing correlation between single neurons, we investigated the stimulus dependent synchronization in our population of pairs. We first investigated the degree of correlation of trial-to-trial fluctuations in response strength between neighboring neurons for each condition, and second estimated the stimulus dependent synchronization by means of an information theoretical approach. We compared the information conveyed by pairs of simultaneously recorded neurons with the sum of information provided by the respective individual cells. The information transmission across pairs of cells in the primary motor cortex seems largely independent, whereas information transmission across pairs of premotor neurons is summed superlinearly. The brain could take advantage of both the accuracy provided by the independency of F1 and the synergy allowed by the superlinear information population coding in F5, distinguishing thus the generalizing role of F5.