ArticlePLoS computational biology2017
Stimulus-specific adaptation in a recurrent network model of primary auditory cortex.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Acetylcholine enhances deviance detection in Hodgkin-Huxley neuronal networks.Cognitive neurodynamics · 2026Article
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- Recurrent neural network models reveal unified mechanisms generating event-related potentials from MMN to P300.bioRxiv : the preprint server for biology · 2025Article
- Task-related activity in auditory cortex enhances sound representation.Science advances · 2025Article
- Rapid rebalancing of co-tuned ensemble activity in the auditory cortex.bioRxiv : the preprint server for biology · 2025Article
- Article
- Deviance detection and regularity sensitivity in dissociated neuronal cultures.Frontiers in neural circuits · 2025Article
- Sparse representation of neurons for encoding complex sounds in the auditory cortex.Progress in neurobiology · 2024Article
- Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response.PLoS computational biology · 2023Article
- Short-term neuronal and synaptic plasticity act in synergy for deviance detection in spiking networks.PLoS computational biology · 2023Article
- Modelling novelty detection in the thalamocortical loop.PLoS computational biology · 2023Article
- Adaptation in auditory processing.Physiological reviews · 2023Review
- Quantitative models of auditory cortical processing.Hearing research · 2023Review
- Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation.Biological cybernetics · 2022Article
- Context-Dependent Inhibitory Control of Stimulus-Specific Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Perinatal Opioid Exposure Results in Persistent Hypoconnectivity of Excitatory Circuits and Reduced Activity Correlations in Mouse Primary Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Involuntary oculomotor inhibition markers of saliency and deviance in response to auditory sequences.Journal of vision · 2022Article
- Earliest Experience of a Relatively Rare Sound But Not a Frequent Sound Causes Long-Term Changes in the Adult Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Article
- A robust model of Stimulus-Specific Adaptation validated on neuromorphic hardware.Scientific reports · 2021Article
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2 authors.
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Abstract
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.
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