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Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation

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Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation. / Hajizadeh, A.; Matysiak, A.; Wolfrum, M. et al.
In: Biological cybernetics, Vol. 116, No. 4, 31.08.2022, p. 475-499.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Hajizadeh, A, Matysiak, A, Wolfrum, M, May, PJC & König, R 2022, 'Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation', Biological cybernetics, vol. 116, no. 4, pp. 475-499. https://doi.org/10.1007/s00422-022-00936-7

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Hajizadeh A, Matysiak A, Wolfrum M, May PJC, König R. Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation. Biological cybernetics. 2022 Aug 31;116(4):475-499. Epub 2022 Jun 20. doi: 10.1007/s00422-022-00936-7

Author

Hajizadeh, A. ; Matysiak, A. ; Wolfrum, M. et al. / Auditory cortex modelled as a dynamical network of oscillators : understanding event-related fields and their adaptation. In: Biological cybernetics. 2022 ; Vol. 116, No. 4. pp. 475-499.

Bibtex

@article{768620f71a16498c8ffc54cc432adebb,
title = "Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation",
abstract = "Adaptation, the reduction of neuronal responses by repetitive stimulation, is a ubiquitous feature of auditory cortex (AC). It is not clear what causes adaptation, but short-term synaptic depression (STSD) is a potential candidate for the underlying mechanism. In such a case, adaptation can be directly linked with the way AC produces context-sensitive responses such as mismatch negativity and stimulus-specific adaptation observed on the single-unit level. We examined this hypothesis via a computational model based on AC anatomy, which includes serially connected core, belt, and parabelt areas. The model replicates the event-related field (ERF) of the magnetoencephalogram as well as ERF adaptation. The model dynamics are described by excitatory and inhibitory state variables of cell populations, with the excitatory connections modulated by STSD. We analysed the system dynamics by linearising the firing rates and solving the STSD equation using time-scale separation. This allows for characterisation of AC dynamics as a superposition of damped harmonic oscillators, so-called normal modes. We show that repetition suppression of the N1m is due to a mixture of causes, with stimulus repetition modifying both the amplitudes and the frequencies of the normal modes. In this view, adaptation results from a complete reorganisation of AC dynamics rather than a reduction of activity in discrete sources. Further, both the network structure and the balance between excitation and inhibition contribute significantly to the rate with which AC recovers from adaptation. This lifetime of adaptation is longer in the belt and parabelt than in the core area, despite the time constants of STSD being spatially homogeneous. Finally, we critically evaluate the use of a single exponential function to describe recovery from adaptation.",
author = "A. Hajizadeh and A. Matysiak and M. Wolfrum and P.J.C. May and R. K{\"o}nig",
year = "2022",
month = aug,
day = "31",
doi = "10.1007/s00422-022-00936-7",
language = "English",
volume = "116",
pages = "475--499",
journal = "Biological cybernetics",
issn = "0340-1200",
publisher = "Springer Verlag",
number = "4",

}

RIS

TY - JOUR

T1 - Auditory cortex modelled as a dynamical network of oscillators

T2 - understanding event-related fields and their adaptation

AU - Hajizadeh, A.

AU - Matysiak, A.

AU - Wolfrum, M.

AU - May, P.J.C.

AU - König, R.

PY - 2022/8/31

Y1 - 2022/8/31

N2 - Adaptation, the reduction of neuronal responses by repetitive stimulation, is a ubiquitous feature of auditory cortex (AC). It is not clear what causes adaptation, but short-term synaptic depression (STSD) is a potential candidate for the underlying mechanism. In such a case, adaptation can be directly linked with the way AC produces context-sensitive responses such as mismatch negativity and stimulus-specific adaptation observed on the single-unit level. We examined this hypothesis via a computational model based on AC anatomy, which includes serially connected core, belt, and parabelt areas. The model replicates the event-related field (ERF) of the magnetoencephalogram as well as ERF adaptation. The model dynamics are described by excitatory and inhibitory state variables of cell populations, with the excitatory connections modulated by STSD. We analysed the system dynamics by linearising the firing rates and solving the STSD equation using time-scale separation. This allows for characterisation of AC dynamics as a superposition of damped harmonic oscillators, so-called normal modes. We show that repetition suppression of the N1m is due to a mixture of causes, with stimulus repetition modifying both the amplitudes and the frequencies of the normal modes. In this view, adaptation results from a complete reorganisation of AC dynamics rather than a reduction of activity in discrete sources. Further, both the network structure and the balance between excitation and inhibition contribute significantly to the rate with which AC recovers from adaptation. This lifetime of adaptation is longer in the belt and parabelt than in the core area, despite the time constants of STSD being spatially homogeneous. Finally, we critically evaluate the use of a single exponential function to describe recovery from adaptation.

AB - Adaptation, the reduction of neuronal responses by repetitive stimulation, is a ubiquitous feature of auditory cortex (AC). It is not clear what causes adaptation, but short-term synaptic depression (STSD) is a potential candidate for the underlying mechanism. In such a case, adaptation can be directly linked with the way AC produces context-sensitive responses such as mismatch negativity and stimulus-specific adaptation observed on the single-unit level. We examined this hypothesis via a computational model based on AC anatomy, which includes serially connected core, belt, and parabelt areas. The model replicates the event-related field (ERF) of the magnetoencephalogram as well as ERF adaptation. The model dynamics are described by excitatory and inhibitory state variables of cell populations, with the excitatory connections modulated by STSD. We analysed the system dynamics by linearising the firing rates and solving the STSD equation using time-scale separation. This allows for characterisation of AC dynamics as a superposition of damped harmonic oscillators, so-called normal modes. We show that repetition suppression of the N1m is due to a mixture of causes, with stimulus repetition modifying both the amplitudes and the frequencies of the normal modes. In this view, adaptation results from a complete reorganisation of AC dynamics rather than a reduction of activity in discrete sources. Further, both the network structure and the balance between excitation and inhibition contribute significantly to the rate with which AC recovers from adaptation. This lifetime of adaptation is longer in the belt and parabelt than in the core area, despite the time constants of STSD being spatially homogeneous. Finally, we critically evaluate the use of a single exponential function to describe recovery from adaptation.

U2 - 10.1007/s00422-022-00936-7

DO - 10.1007/s00422-022-00936-7

M3 - Journal article

C2 - 35718809

VL - 116

SP - 475

EP - 499

JO - Biological cybernetics

JF - Biological cybernetics

SN - 0340-1200

IS - 4

ER -