From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction

Peter John Hellyer, Claudia Clopath, Angie A Kehagia, Federico E Turkheimer, Robert Leech

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

In recent years, there have been many computational simulations of spontaneous neural dynamics. Here, we describe a simple model of spontaneous neural dynamics that controls an agent moving in a simple virtual environment. These dynamics generate interesting brain-environment feedback interactions that rapidly destabilize neural and behavioral dynamics demonstrating the need for homeostatic mechanisms. We investigate roles for homeostatic plasticity both locally (local inhibition adjusting to balance excitatory input) as well as more globally (regional "task negative" activity that compensates for "task positive", sensory input in another region) balancing neural activity and leading to more stable behavior (trajectories through the environment). Our results suggest complementary functional roles for both local and macroscale mechanisms in maintaining neural and behavioral dynamics and a novel functional role for macroscopic "task-negative" patterns of activity (e.g., the default mode network).

Original languageEnglish
Article numbere1005721
JournalPL o S Computational Biology
Volume13
Issue number8
DOIs
Publication statusPublished - 24 Aug 2017

Keywords

  • Journal Article

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