Superlinear Summation of Information in Premotor Neuron Pairs

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...

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Detalles Bibliográficos
Autores principales: Montani, Fernando, Oliynyk, Andriy, Fadiga, Luciano
Formato: Articulo
Lenguaje:Inglés
Publicado: 2017
Materias:
Física
Biología
Neural code
motor control
information theory
spike synchronization
neural networks
Cortex
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160299
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160299
record_format dspace
spelling I19-R120-10915-1602992023-11-17T20:06:51Z http://sedici.unlp.edu.ar/handle/10915/160299 Superlinear Summation of Information in Premotor Neuron Pairs Montani, Fernando Oliynyk, Andriy Fadiga, Luciano 2017 2023-11-17T17:14:38Z en Física Biología Neural code motor control information theory spike synchronization neural networks Cortex 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 Instituto de Física de Líquidos y Sistemas Biológicos Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Biología
Neural code
motor control
information theory
spike synchronization
neural networks
Cortex
spellingShingle Física
Biología
Neural code
motor control
information theory
spike synchronization
neural networks
Cortex
Montani, Fernando
Oliynyk, Andriy
Fadiga, Luciano
Superlinear Summation of Information in Premotor Neuron Pairs
topic_facet Física
Biología
Neural code
motor control
information theory
spike synchronization
neural networks
Cortex
description 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
format Articulo
Articulo
author Montani, Fernando
Oliynyk, Andriy
Fadiga, Luciano
author_facet Montani, Fernando
Oliynyk, Andriy
Fadiga, Luciano
author_sort Montani, Fernando
title Superlinear Summation of Information in Premotor Neuron Pairs
title_short Superlinear Summation of Information in Premotor Neuron Pairs
title_full Superlinear Summation of Information in Premotor Neuron Pairs
title_fullStr Superlinear Summation of Information in Premotor Neuron Pairs
title_full_unstemmed Superlinear Summation of Information in Premotor Neuron Pairs
title_sort superlinear summation of information in premotor neuron pairs
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/160299
work_keys_str_mv AT montanifernando superlinearsummationofinformationinpremotorneuronpairs
AT oliynykandriy superlinearsummationofinformationinpremotorneuronpairs
AT fadigaluciano superlinearsummationofinformationinpremotorneuronpairs
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