Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscape


Autoři: Takashi Kanamaru aff001;  Kazuyuki Aihara aff002
Působiště autorů: Department of Mechanical Science and Engineering, Kogakuin University, Tokyo, Japan aff001;  International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Bunkyo-ku, Tokyo, Japan aff002;  Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, Japan aff003
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223592

Souhrn

To understand the effect of attention on neuronal dynamics, we propose a multi-module network, with each module consisting of fully interconnected groups of excitatory and inhibitory neurons. This network shows transitive dynamics among quasi-attractors as its typical dynamics. When the release of acetylcholine onto the network is simulated by attention, the transitive dynamics change into stable dynamics in which the system converges to an attractor. We found that this network can reproduce three experimentally observed properties of attention-dependent response modulation, namely an increase in the firing rate, a decrease in the Fano factor of the firing rate, and a decrease in the correlation coefficients between the firing rates of pairs of neurons. Moreover, we also showed theoretically that the release of acetylcholine increases the sensitivity to bottom-up inputs by changing the response function.

Klíčová slova:

Action potentials – Attention – Deformation – Network analysis – Neural networks – Neurons – Synapses – Vision


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2019 Číslo 10

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