Abstract
In response to a short stimulus, the cortical areas of the brain retain the activity during a few hundred milliseconds. Our previous study has shown the major role of strong excitatory recurrent connections and slow NMDA receptor kinetics into the retention effect in case of single layer of recurrently-connected neuronal populations. In the present work, we investigate two multilayer models of an orientational hypercolumn as a functional unit of the visual cortex to study the role of interactions between the layers. Simulations with the simple firing rate-based multilayered ring-structured model, taking into account recurrent connections, synaptic depression and slow NMDA receptor currents, show that strong feed-forward connections between the layers could compensate for weak lateral recurrent connections and support the retention in the subsequent layers. In case of developed recurrent both lateral and feedforward connections, a similar response of populations in all layers is observed. Complex biologically detailed 2-d conductance-based refractory density model confirms the results. The retention effect can play an important role in such cognition processes as continuous motion perception.
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Tiselko, V.S., Chizhov, A.V. (2022). Contribution of Multilayer Interactions to Neural Activity Retaining in Response to Flash Stimulus in Simple and Complex Models of an Orientational Hypercolumn of Visual Cortex. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y., Klimov, V.V. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research V. NEUROINFORMATICS 2021. Studies in Computational Intelligence, vol 1008. Springer, Cham. https://doi.org/10.1007/978-3-030-91581-0_21
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