From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction
| Autor: | Robert Leech, Federico Turkheimer, Angie A. Kehagia, Peter J. Hellyer, Claudia Clopath |
|---|---|
| Přispěvatelé: | The Leverhulme Trust |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Physiology Vision Computer science Social Sciences Neural Homeostasis Learning and Memory 0302 clinical medicine Homeostatic plasticity Medicine and Health Sciences Homeostasis Psychology Biology (General) Default mode network media_common Simple (philosophy) Ecology Artificial neural network Brain Sensory Systems Computational Theory and Mathematics Homeostatic Mechanisms Modeling and Simulation Connectome Sensory Perception Research Article Nervous System Physiology Computer and Information Sciences Neural Networks Bioinformatics QH301-705.5 media_common.quotation_subject Models Neurological Neuroimaging Sensory system Environment 03 medical and health sciences Cellular and Molecular Neuroscience Perception Genetics Learning Humans Computer Simulation Molecular Biology Ecology Evolution Behavior and Systematics 01 Mathematical Sciences Behavior 08 Information And Computing Sciences Quantitative Biology::Neurons and Cognition business.industry Cognitive Psychology Biology and Life Sciences Computational Biology 06 Biological Sciences 030104 developmental biology Embodied cognition Cognitive Science Artificial intelligence Physiological Processes business Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | PLoS Computational Biology, Vol 13, Iss 8, p e1005721 (2017) PLoS Computational Biology |
| ISSN: | 1553-7358 |
| Popis: | 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). Author summary In recent years, there has been growing interest in using computational models based on the human structural connectome to better understand the brain. These simulations typically investigate spontaneous neural dynamics, in the absence of tasks, sensory input or motor output. Here, we take a different approach, embodying a computational model of spontaneous neural dynamics to control a simulated agent, with sensory input from and motor output to a simulated environment. Embodying the model radically changes how the model operates and changes how we understand the computational mechanisms. We observe interesting brain-environment feedback interactions and observe how different homeostatic systems are needed to compensate for this feedback. We observe this both in the simulated neural dynamics and the behavior of the embodied agent. These findings suggest novel functional roles for homeostatic systems in maintaining neural dynamics and behavior and for the poorly understood default mode network pattern of activity reported in functional neuroimaging in humans and animals. |
| Databáze: | OpenAIRE |
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