scholarly journals Neural Field Theory of Evoked Response Sequences and Mismatch Negativity With Adaptation

2021 ◽  
Vol 15 ◽  
Author(s):  
Peter A. Robinson ◽  
Natasha C. Gabay ◽  
Tara Babaie-Janvier

Physiologically based neural field theory of the corticothalamic system is used to calculate the responses evoked by trains of auditory stimuli that correspond to different cortical locations via the tonotopic map. The results are shown to account for standard and deviant evoked responses to frequent and rare stimuli, respectively, in the auditory oddball paradigms widely used in human cognitive studies, and the so-called mismatch negativity between them. It also reproduces a wide range of other effects and variants, including the mechanism by which a change in standard responses relative to deviants can develop through adaptation, different responses when two deviants are presented in a row or a standard is presented after two deviants, relaxation of standard responses back to deviant form after a stimulus-free period, and more complex sequences. Some cases are identified in which adaptation does not account for the whole difference between standard and deviant responses. The results thus provide a systematic means to determine how much of the response is due to adaptation in the system comprising the primary auditory cortex and medial geniculate nucleus, and how much requires involvement of higher-level processing.

2017 ◽  
Vol 111 (2) ◽  
pp. 149-164 ◽  
Author(s):  
M. S. Zobaer ◽  
R. M. Anderson ◽  
C. C. Kerr ◽  
P. A. Robinson ◽  
K. K. H. Wong ◽  
...  

2021 ◽  
pp. 109-116
Author(s):  
Evgenii Burlakov ◽  
Vitaly Verkhlyutov ◽  
Vadim Ushakov

2016 ◽  
pp. 93-162
Author(s):  
W.M. Haddad ◽  
S.P. Hou ◽  
J.M. Bailey ◽  
N. Meskin

2011 ◽  
Vol 23 (8) ◽  
pp. 2032-2057 ◽  
Author(s):  
Dequan Jin ◽  
Jigen Peng ◽  
Bin Li

In this letter, we present a new hierarchical clustering approach based on the evolutionary process of Amari's dynamical neural field model. Dynamical neural field theory provides a theoretical framework macroscopically describing the activity of neuron ensemble. Based on it, our clustering approach is essentially close to the neurophysiological nature of perception. It is also computationally stable, insensitive to noise, flexible, and tractable for data with complex structure. Some examples are given to show the feasibility.


2020 ◽  
Vol 102 (6) ◽  
Author(s):  
K. N. Mukta ◽  
P. A. Robinson ◽  
J. C. Pagès ◽  
N. C. Gabay ◽  
Xiao Gao

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