Connectionists: cfp 'Neurocomputational models of language processing'

[Michael Zock]

Dear colleagues,

could you please be so kind and disseminate the call for papers for the 
following research topic :

*Neurocomputational models of language processing***

https://www.frontiersin.org/research-topics/49147/neurocomputational-models-of-language-processing

Markus J. Hofmann (General and Biological Psychology‪, University of 
Wuppertal, Germany)

Harm Brouwer (Psycholinguistics, Language Science and Technology, 
Saarland University, Germany)

Ya-Nin Chang, MRC Cognition and Brain Sciences, University of Cambridge, UK)

Michael Zock (CNRS, AMU, LIS-lab, Marseille, France)

Keywords: Neurocomputational Models, Language Processing, Human 
Neuroscience, Speech and Language, Behavioural Data, Neuroimaging Data, 
Language Production and Comprehension, Machine Learning, Deep Learning

Abstract Submission Deadline : 15 March 2023

Manuscript Submission Deadline 15 November 2023

Our ability to produce and understand language involves a complex, 
dynamic interaction between different types of knowledge, involving 
orthographic, phonological, semantic, syntactic, and pragmatic 
representations, as well as knowledge of the world. Moreover, given that 
discourse rapidly unfolds at the rate of several words per second, these 
representations need to be activated, retrieved and/or computed in real 
time. Informed by behavioral and neuroimaging data, explicit 
neurocomputational models of language processing seek to offer 
mechanistic explanations of the representations and computations that 
underlie online language production and comprehension.

Neural models from the field of machine learning and particularly deep 
learning are only the most recent developments in this field. Localist 
and distributed connectionist models, advanced measurement models like 
diffusion models, and expert systems are alternative formal approaches 
able to capture various aspects of language processing. Finally, 
probabilistic language models as well as corpus-based approaches are 
powerful computational techniques, which, taken together, may enhance 
our understanding of language in terms of how it is represented and 
processed in the human brain.

In this Research Topic, we invite submissions that combine such 
neurocomputational models of language processing with human neuroimaging 
and behavioral data. The manuscripts can be submitted to Frontiers in 
Human Neuroscience and may contain sophisticated neural simulations of 
specific aspects of language processing. These submissions can either 
deepen our understanding of unimpaired language processing or shed light 
on language disorders or developmental aspects of language. 
Alternatively, the papers can be submitted to Frontiers in Artificial 
Intelligence and thus may highlight the state-of-the-art in natural 
language processing (NLP). Given this broad spectrum, topics may range 
from models that seek to explain electrophysiological and functional 
imaging data to neurally inspired computational models explaining 
eye-tracking eye-tracking or reading time data. With this special issue, 
we hope to provide a comprehensive overview of the latest developments 
in the neurocomputational modelling of human language production and 
comprehension.

-- 

Michael ZOCK

Emeritus Research Director CNRS
LIS UMR 7020 (Group TALEP)
Aix Marseille Université
163 avenue de Luminy - case 901
13288 Marseille / France

Mail: michael.zock at lis-lab.fr <mailto:michael.zock at lis-lab.fr>
Tel.:    +33 (0)6 51.70.97.22
Secr.:  +33 (0)4.86.09.04.60

http://pageperso.lif.univ-mrs.fr/~michael.zock/ 
<http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>

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