Optimising a computational model of human auditory cortex with an evolutionary algorithm

Tomana, Ewelina; Härtwich, Nina; Rozmarynowski, Adam; König, Reinhard; May, Patrick J.C.; Sielużycki, Cezary

doi:10.1016/j.heares.2023.108879

Cited by 2 publications

(1 citation statement)

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“…Hajizadeh et al's finding that N1m adaptation depends on AC connectivity is supported by simulation results reported by Tomana et al (2023). Using a simplified version of the model by May and colleagues and an optimisation approach based on an evolutionary algorithm, the authors showed that, even when preserving the connection pattern, changes to model parameters reflecting connection strengths lead to changes in N1m adaptation.…”

Section: Lessons From Computational Modelling On Adaptation Lifetime ...mentioning

confidence: 77%

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

Dar,

Haertwich,

Hajizadeh

et al. 2024

Preprint

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Adaptation is the attenuation of a neuronal response when a stimulus is repeatedly presented. The phenomenon has been linked to sensory memory, but its exact neuronal mechanisms are under debate. One defining feature of adaptation is its lifetime, that is, the timespan over which the attenuating effect of previous stimulation persists. This can be revealed by varying the stimulus-onset interval (SOI) of the repeated stimulus. As SOI is increased, the peak amplitude of the response grows before saturating at large SOIs. The rate of this growth can be quantified and used as an estimate of adaptation lifetime. Here, we studied whether adaptation lifetime varies across the left and the right auditory cortex of the human brain. Event-related fields of whole-head magnetoencephalograms (MEG) were measured in 14 subjects during binaural presentation of pure tone stimuli. To make statistical inferences on the single-subject level, additional event-related fields were generated by resampling the original single-trial data via bootstrapping. For each hemisphere and SOI, the peak amplitude of the N1m response was then derived from both original and bootstrap-based data sets. Finally, the N1m peak amplitudes we used for deriving subject- and hemisphere-specific estimates of adaptation lifetime. Comparing subject-specific adaptation lifetime across hemispheres, we found a significant difference, with longer adaptation lifetimes in the left than in the right auditory cortex (p = 0.004). This difference might have a functional relevance in the context of temporal binding of auditory stimuli, leading to larger integration time windows in the left than in the right hemisphere.

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Section: Lessons From Computational Modelling On Adaptation Lifetime ...mentioning

confidence: 77%

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

Dar,

Haertwich,

Hajizadeh

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

Dar,

Härtwich,

Hajizadeh

et al. 2024

Hearing Research

View full text Add to dashboard Cite

Optimising a computational model of human auditory cortex with an evolutionary algorithm

Cited by 2 publications

References 42 publications

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG

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