Mutual information and redundancy in spontaneous communication between cortical neurons

• Published in: Biological cybernetics Vol. 104; no. 3; pp. 161 - 174
• Main Authors: Szczepanski, J., Arnold, M., Wajnryb, E., Amigó, J. M., Sanchez-Vives, M. V.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.03.2011; Springer Nature B.V
• Subjects: Action Potentials - physiology; Animals; Bioinformatics; Biomedical and Life Sciences; Biomedicine; Cell Communication - physiology; Complex Systems; Computer Appl. in Life Sciences; Cybernetics; Entropy; Models, Neurological; Neurobiology; Neurology; Neurons; Neurons - cytology; Neurons - physiology; Neurosciences; Original Paper; Photic Stimulation; Rats; Synaptic Transmission - physiology; Visual Cortex - cytology; Visual Cortex - physiology; Shannon information; Visual cortex; Spikes train; Neurons; Redundancy; Entropy; Spontaneous activity; Mutual information
• DOI: 10.1007/s00422-011-0425-y
• ISSN: 0340-1200

An important question in neural information processing is how neurons cooperate to transmit information. To study this question, we resort to the concept of redundancy in the information transmitted by a group of neurons and, at the same time, we introduce a novel concept for measuring cooperation between pairs of neurons called relative mutual information (RMI). Specifically, we studied these two parameters for spike trains generated by neighboring neurons from the primary visual cortex in the awake, freely moving rat. The spike trains studied here were spontaneously generated in the cortical network, in the absence of visual stimulation. Under these conditions, our analysis revealed that while the value of RMI oscillated slightly around an average value, the redundancy exhibited a behavior characterized by a higher variability. We conjecture that this combination of approximately constant RMI and greater variable redundancy makes information transmission more resistant to noise disturbances. Furthermore, the redundancy values suggest that neurons can cooperate in a flexible way during information transmission. This mostly occurs via a leading neuron with higher transmission rate or, less frequently, through the information rate of the whole group being higher than the sum of the individual information rates—in other words in a synergetic manner. The proposed method applies not only to the stationary, but also to locally stationary neural signals.