Stimulus-specific adaptation in a recurrent network model of primary auditory cortex

Autor: Israel Nelken, Tohar S. Yarden
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Nerve net
Computer science
Physiology
Sensory Physiology
Mismatch negativity
Action Potentials
Nervous System
0302 clinical medicine
Animal Cells
Medicine and Health Sciences
lcsh:QH301-705.5
Feedback
Physiological
Neurons
education.field_of_study
Neuronal Plasticity
Ecology
Artificial neural network
Depression
Brain
Adaptation
Physiological
Sensory Systems
Single Neuron Function
Electrophysiology
medicine.anatomical_structure
Computational Theory and Mathematics
Auditory System
Modeling and Simulation
Cellular Types
Anatomy
Neuronal Tuning
Research Article
musculoskeletal diseases
Computer and Information Sciences
Neural Networks
Population
Models
Neurological
Neurophysiology
Stimulus (physiology)
Auditory cortex
Membrane Potential
03 medical and health sciences
Cellular and Molecular Neuroscience
stomatognathic system
Neuronal tuning
Neuroplasticity
Mental Health and Psychiatry
Genetics
medicine
Animals
Humans
Computer Simulation
education
Molecular Biology
Ecology
Evolution
Behavior and Systematics
Auditory Cortex
Computational Neuroscience
Mood Disorders
Biology and Life Sciences
Computational Biology
Neural Inhibition
Cell Biology
eye diseases
stomatognathic diseases
030104 developmental biology
Acoustic Stimulation
lcsh:Biology (General)
Cellular Neuroscience
Synapses
Nerve Net
Neuroscience
030217 neurology & neurosurgery
Zdroj: PLoS Computational Biology, Vol 13, Iss 3, p e1005437 (2017)
PLoS Computational Biology
ISSN: 1553-7358
Popis: Stimulus-specific adaptation (SSA) occurs when neurons decrease their responses to frequently-presented (standard) stimuli but not, or not as much, to other, rare (deviant) stimuli. SSA is present in all mammalian species in which it has been tested as well as in birds. SSA confers short-term memory to neuronal responses, and may lie upstream of the generation of mismatch negativity (MMN), an important human event-related potential. Previously published models of SSA mostly rely on synaptic depression of the feedforward, thalamocortical input. Here we study SSA in a recurrent neural network model of primary auditory cortex. When the recurrent, intracortical synapses display synaptic depression, the network generates population spikes (PSs). SSA occurs in this network when deviants elicit a PS but standards do not, and we demarcate the regions in parameter space that allow SSA. While SSA based on PSs does not require feedforward depression, we identify feedforward depression as a mechanism for expanding the range of parameters that support SSA. We provide predictions for experiments that could help differentiate between SSA due to synaptic depression of feedforward connections and SSA due to synaptic depression of recurrent connections. Similar to experimental data, the magnitude of SSA in the model depends on the frequency difference between deviant and standard, probability of the deviant, inter-stimulus interval and input amplitude. In contrast to models based on feedforward depression, our model shows true deviance sensitivity as found in experiments.
Author summary We present a possible mechanism for the way auditory cortex emphasizes stimuli that are deviant within a regular, repetitive sequence. This enhancement is strong and widespread in auditory cortex, but not in its major thalamic input, the ventral division of the medial geniculate body. In contrast with previous models, which are based on depression of the synapses that convey the input to the cortex, here the network structure and the known dynamics of intracortical synapses play a key role. The model accounts better than previous models for available experimental data, and provides testable predictions that differentiate it from feedforward models. It is a useful starting point for studying the circuit mechanisms that underlie cortical responses to unexpected stimuli.
Databáze: OpenAIRE
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