ArticlePLoS computational biology2019
A dynamic network model of temporal receptive fields in primary auditory cortex.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Rethinking hierarchy: the auditory system as an integrated cortical-subcortical network.Nature reviews. Neuroscience · 2026Review
- Neurons in auditory cortex integrate information within a constrained and context-invariant temporal window.Current biology : CB · 2025Article
- Temporal recurrence as a general mechanism to explain neural responses in the auditory system.Communications biology · 2025Article
- Neurons in auditory cortex integrate information within constrained temporal windows that are invariant to the stimulus context and information rate.bioRxiv : the preprint server for biology · 2025Article
- A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses.PLoS computational biology · 2024Article
- Quantitative models of auditory cortical processing.Hearing research · 2023Review
- [Auditory response patterns of mouse primary auditory cortex to sound stimuli].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- Cortical adaptation to sound reverberation.eLife · 2022Article
- Plasticity of Multidimensional Receptive Fields in Core Rat Auditory Cortex Directed by Sound Statistics.Neuroscience · 2021Article
- Simple transformations capture auditory input to cortex.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Distinct Manifestations of Cooperative, Multidimensional Stimulus Representations in Different Auditory Forebrain Stations.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception.Frontiers in neuroscience · 2020Article
- Spectral tuning of adaptation supports coding of sensory context in auditory cortex.PLoS computational biology · 2019Article
- Complementary Effects of Adaptation and Gain Control on Sound Encoding in Primary Auditory Cortex.eNeuroArticle
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4 authors.
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Abstract
Auditory neurons encode stimulus history, which is often modelled using a span of time-delays in a spectro-temporal receptive field (STRF). We propose an alternative model for the encoding of stimulus history, which we apply to extracellular recordings of neurons in the primary auditory cortex of anaesthetized ferrets. For a linear-non-linear STRF model (LN model) to achieve a high level of performance in predicting single unit neural responses to natural sounds in the primary auditory cortex, we found that it is necessary to include time delays going back at least 200 ms in the past. This is an unrealistic time span for biological delay lines. We therefore asked how much of this dependence on stimulus history can instead be explained by dynamical aspects of neurons. We constructed a neural-network model whose output is the weighted sum of units whose responses are determined by a dynamic firing-rate equation. The dynamic aspect performs low-pass filtering on each unit's response, providing an exponentially decaying memory whose time constant is individual to each unit. We find that this dynamic network (DNet) model, when fitted to the neural data using STRFs of only 25 ms duration, can achieve prediction performance on a held-out dataset comparable to the best performing LN model with STRFs of 200 ms duration. These findings suggest that integration due to the membrane time constants or other exponentially-decaying memory processes may underlie linear temporal receptive fields of neurons beyond 25 ms.
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