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Poster Communications Year : 2016

Understanding the impact of recurrent interactions on population tuning

Abstract

A ring network model under neural fields formalism with a structured input is studied. Bifurcation analysis is applied to understand the behaviour of the network model under different connectivity regimes and input conditions. The parameter regimes over which the localised input bumps could be preserved, combined or selected are used to identify the potential network regimes under which direction selective cells in MT area exhibiting analogous behaviour could be operating. The parameter regimes are further explored to identify possible transitions in the tuning behaviour with respect to change of driving stimuli as observed in experimental recordings.
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Dates and versions

hal-01377606 , version 1 (07-10-2016)

Identifiers

  • HAL Id : hal-01377606 , version 1

Cite

N V Kartheek Medathati, Andrew Isaac Meso, Guillaume S. Masson, Pierre Kornprobst, James Rankin. Understanding the impact of recurrent interactions on population tuning: Application to MT cells characterization. AREADNE: Research in Encoding And Decoding of Neural Ensembles, Jun 2016, Santorini, Greece. ⟨hal-01377606⟩
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