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      Neural field theory of adaptive effects on auditory evoked responses and mismatch negativity in multifrequency stimulus sequences

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          Abstract

          Physiologically based neural field theory (NFT) of the corticothalamic system, including adaptation, is used to calculate the responses evoked by trains of auditory stimuli that differ in frequency. In oddball paradigms, fully distinguishable frequencies lead to different standard (common stimulus) and deviant (rare stimulus) responses; the signal obtained by subtracting the standard response from the deviant is termed the mismatch negativity (MMN). In this analysis, deviant responses are found to correspond to unadapted cortex, whereas the part of auditory cortex that processes the standard stimuli adapts over several stimulus presentations until the final standard response form is achieved. No higher-order memory processes are invoked. In multifrequency experiments, the deviant response approaches the standard one as the deviant frequency approaches that of the standard and analytic criteria for this effect to be obtained. It is shown that these criteria can also be used to understand adaptation in random tone sequences. A method of probing MMNs and adaptation in random tone sequences is suggested to makes more use of such data.

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          Most cited references61

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          The mismatch negativity (MMN) in basic research of central auditory processing: a review.

          In the present article, the basic research using the mismatch negativity (MMN) and analogous results obtained by using the magnetoencephalography (MEG) and other brain-imaging technologies is reviewed. This response is elicited by any discriminable change in auditory stimulation but recent studies extended the notion of the MMN even to higher-order cognitive processes such as those involving grammar and semantic meaning. Moreover, MMN data also show the presence of automatic intelligent processes such as stimulus anticipation at the level of auditory cortex. In addition, the MMN enables one to establish the brain processes underlying the initiation of attention switch to, conscious perception of, sound change in an unattended stimulus stream.
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            Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence.

            Both physiological and behavioral studies have suggested that stimulus-driven neural activity in the sensory pathways can be modulated in amplitude during selective attention. Recordings of event-related brain potentials indicate that such sensory gain control or amplification processes play an important role in visual-spatial attention. Combined event-related brain potential and neuroimaging experiments provide strong evidence that attentional gain control operates at an early stage of visual processing in extrastriate cortical areas. These data support early selection theories of attention and provide a basis for distinguishing between separate mechanisms of attentional suppression (of unattended inputs) and attentional facilitation (of attended inputs).
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              The mismatch negativity: A review of underlying mechanisms

              The mismatch negativity (MMN) is a brain response to violations of a rule, established by a sequence of sensory stimuli (typically in the auditory domain) [Näätänen R. Attention and brain function. Hillsdale, NJ: Lawrence Erlbaum; 1992]. The MMN reflects the brain’s ability to perform automatic comparisons between consecutive stimuli and provides an electrophysiological index of sensory learning and perceptual accuracy. Although the MMN has been studied extensively, the neurophysiological mechanisms underlying the MMN are not well understood. Several hypotheses have been put forward to explain the generation of the MMN; amongst these accounts, the “adaptation hypothesis” and the “model adjustment hypothesis” have received the most attention. This paper presents a review of studies that focus on neuronal mechanisms underlying the MMN generation, discusses the two major explanatory hypotheses, and proposes predictive coding as a general framework that attempts to unify both.
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                Author and article information

                Contributors
                Role: Role: Role: Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role: Role:
                URI : http://loop.frontiersin.org/people/4728/overviewRole: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                03 January 2024
                2023
                : 17
                : 1282924
                Affiliations
                [1] 1School of Physics, The University of Sydney , Sydney, NSW, Australia
                [2] 2Center of Excellence for Integrative Brain Function, The University of Sydney , Sydney, NSW, Australia
                Author notes

                Edited by: Changming Wang, Capital Medical University, China

                Reviewed by: Gerald Cooray, Karolinska Institutet (KI), Sweden

                Timo Ruusuvirta, University of Turku, Finland

                *Correspondence: Peter A. Robinson peter.robinson@ 123456sydney.edu.au
                Article
                10.3389/fnhum.2023.1282924
                10791997
                38234595
                d04dd182-ea11-4b61-8430-16fd61dec3d1
                Copyright © 2024 Babaie-Janvier, Gabay, McInnes and Robinson.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 August 2023
                : 27 October 2023
                Page count
                Figures: 6, Tables: 1, Equations: 43, References: 61, Pages: 14, Words: 9461
                Funding
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Australian Research Council under Center of Excellence grant CE140100007 and Laureate Fellowship grant FL140100025.
                Categories
                Human Neuroscience
                Hypothesis and Theory
                Custom metadata
                Brain Imaging and Stimulation

                Neurosciences
                evoked responses,mismatch negativity,neural field theory,adaptation,oddball paradigm,stimulus discriminability

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