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Computational modeling of attractor-based neural processes involved in the preparation of voluntary actions
Department of Neuroscience, Karolinska Institutet, Solna, Sweden; Agora for Biosystems, P.O. Box 57, 19322, Sigtuna, Sweden.ORCID iD: 0000-0002-8403-1765
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). Department of Neuroscience, Karolinska Institutet, Solna, Sweden.ORCID iD: 0000-0002-0550-0739
Department of Energy and Technology, SLU, P.O. Box 7032, 75007, Uppsala, Sweden; Agora for Biosystems, P.O. Box 57, 19322, Sigtuna, Sweden.ORCID iD: 0000-0002-9938-2867
2024 (English)In: Cognitive Neurodynamics, ISSN 1871-4080, E-ISSN 1871-4099, Vol. 18, no 6, p. 3337-3357Article in journal (Refereed) Published
Abstract [en]

Volition is conceived as a set of orchestrated executive functions, which can be characterized by features, such as reason-based and goal-directedness, driven by endogenous signals. The lateral prefrontal cortex (LPFC) has long been considered to be responsible for cognitive control and executive function, and its neurodynamics appears to be central to goal-directed cognition. In order to address both associative processes (i.e. reason-action and action-outcome) based on internal stimuli, it seems essential to consider the interconnectivity of LPFC and the anterior cingulate cortex (ACC). The critical placement of ACC as a hub mediates projection of afferent expectancy signals directly from brain structures associated with emotion, as well as internal signals from subcortical areas to the LPFC. Apparently, the two cortical areas LPFC and ACC play a pivotal role in the formation of voluntary behaviors. In this paper, we model the neurodynamics of these two neural structures and their interactions related to intentional control. We predict that the emergence of intention is the result of both feedback-based and competitive mechanisms among neural attractors. These mechanisms alter the dimensionalities of coexisting chaotic attractors to more stable, low dimensional manifolds as limit cycle attractors, which may result in the onset of a readiness potential (RP) in SMA, associated with a decision to act.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 18, no 6, p. 3337-3357
Keywords [en]
Attractor networks, Hierarchical control, Intention, Neurocomputational modeling, Neurodynamic transitions, Volition
National Category
Neurology
Identifiers
URN: urn:nbn:se:kth:diva-350248DOI: 10.1007/s11571-023-10019-3ISI: 001087841400001Scopus ID: 2-s2.0-85174633560OAI: oai:DiVA.org:kth-350248DiVA, id: diva2:1883452
Note

QC 20240710

Available from: 2024-07-10 Created: 2024-07-10 Last updated: 2025-02-03Bibliographically approved

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Hellgren Kotaleski, Jeanette

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Hassannejad Nazir, AzadehHellgren Kotaleski, JeanetteLiljenström, Hans
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