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Temporal modulation of the dynamics of neuronal networks with cognitive function : experimental evidence and theoretical analysis

Abstract : We investigated the putative function of the fine temporal dynamics of neuronal networks for implementing cognitive processes. First, we characterized the coding properties of spike trains recorded from the dorsal Anterior Cingulate Cortex (dACC) of monkeys. dACC is thought to trigger behavioral adaptation. We found evidence for (i) high spike count variability and (ii) temporal reliability (favored by temporal correlations) which respectively hindered and favored information transmission when monkeys were cued to switch the behavioral strategy. Also, we investigated the nature of the neuronal variability that was predictive of behavioral variability. High vs. low firing rates were not robustly associated with different behavioral responses, while deviations from a neuron-specific prototypical spike train predicted slower responses of the monkeys. These deviations could be due to increased or decreased spike count, as well as to jitters in spike times. Our results support the hypothesis of a complex spatiotemporal coding of behavioral adaptation by dACC, and suggest that dACC signals are unlikely to be decoded by a neural integrator. Second, we further investigated the impact of dACC temporal signals on the downstream decoder by developing mean-field equations to analyze network dynamics. We used an adapting single neuron model that mimics the response of cortical neurons to realistic dynamic synaptic-like currents. We approximated the time-dependent population rate for recurrent networks in an asynchronous irregular state. This constitutes an important step towards a theoretical study of the effect of temporal drives on networks which could mediate cognitive functions.
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Submitted on : Tuesday, November 24, 2015 - 2:49:07 PM
Last modification on : Sunday, June 26, 2022 - 9:44:26 AM
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  • HAL Id : tel-01233105, version 1


Laureline Logiaco. Temporal modulation of the dynamics of neuronal networks with cognitive function : experimental evidence and theoretical analysis. Neurons and Cognition [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066225⟩. ⟨tel-01233105⟩



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