Publication: Modelling novelty detection in the thalamocortical loop
Modelling novelty detection in the thalamocortical loop
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Han, C., English, G., Saal, H. P., Indiveri, G., Gilra, A., von der Behrens, W., & Vasilaki, E. (2023). Modelling novelty detection in the thalamocortical loop. PLoS Computational Biology, 19(5), e1009616. https://doi.org/10.1371/journal.pcbi.1009616
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In complex natural environments, sensory systems are constantly exposed to a large stream of inputs. Novel or rare stimuli, which are often associated with behaviorally important events, are typically processed differently than the steady sensory background, which has less relevance. Neural signatures of such differential processing, commonly referred to as novelty detection, have been identified on the level of EEG recordings as mismatch negativity (MMN) and on the level of single neurons as stimulus-specific adaptation (SSA). Here,
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Han, C., English, G., Saal, H. P., Indiveri, G., Gilra, A., von der Behrens, W., & Vasilaki, E. (2023). Modelling novelty detection in the thalamocortical loop. PLoS Computational Biology, 19(5), e1009616. https://doi.org/10.1371/journal.pcbi.1009616