Literature DB >> 23825419

Heterogeneous attractor cell assemblies for motor planning in premotor cortex.

Maurizio Mattia1, Pierpaolo Pani, Giovanni Mirabella, Stefania Costa, Paolo Del Giudice, Stefano Ferraina.   

Abstract

Cognitive functions like motor planning rely on the concerted activity of multiple neuronal assemblies underlying still elusive computational strategies. During reaching tasks, we observed stereotyped sudden transitions (STs) between low and high multiunit activity of monkey dorsal premotor cortex (PMd) predicting forthcoming actions on a single-trial basis. Occurrence of STs was observed even when movement was delayed or successfully canceled after a stop signal, excluding a mere substrate of the motor execution. An attractor model accounts for upward STs and high-frequency modulations of field potentials, indicative of local synaptic reverberation. We found in vivo compelling evidence that motor plans in PMd emerge from the coactivation of such attractor modules, heterogeneous in the strength of local synaptic self-excitation. Modules with strong coupling early reacted with variable times to weak inputs, priming a chain reaction of both upward and downward STs in other modules. Such web of "flip-flops" rapidly converged to a stereotyped distributed representation of the motor program, as prescribed by the long-standing theory of associative networks.

Mesh:

Year:  2013        PMID: 23825419      PMCID: PMC3718385          DOI: 10.1523/JNEUROSCI.4664-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  87 in total

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  33 in total

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9.  Spike-Based Bayesian-Hebbian Learning of Temporal Sequences.

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