• On questions of predictability...

Treffer: On questions of predictability and control of an intelligent system using probabilistic state-transitions.

Title:
On questions of predictability and control of an intelligent system using probabilistic state-transitions.
Authors:
R Taranath J; Department of Electrical and Computer Engineering, Center for Theoretical and Computational Neuroscience, Center for Learning and Memory, University of Texas at Austin, USA. Electronic address: jayanth.r.t@utexas.edu.
Source:
Neuroscience [Neuroscience] 2025 Dec 05; Vol. 590, pp. 163-169. Date of Electronic Publication: 2025 Nov 06.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Elsevier Science Country of Publication: United States NLM ID: 7605074 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7544 (Electronic) Linking ISSN: 03064522 NLM ISO Abbreviation: Neuroscience Subsets: MEDLINE
Imprint Name(s):
Publication: [New York?] : Elsevier Science
Original Publication: Oxford, Elmsford, N. Y., Pergamon Press
MeSH Terms:
Brain*/physiology , Brain-Computer Interfaces* , Models, Neurological* , Intelligence*/physiology, Humans ; Animals ; Probability ; Intelligent Systems
Contributed Indexing:
Keywords: Behavioral state; Ideal brain-computer-interface; Neural state; Paired state; Probabilistic state-transitions; Probability table
Entry Date(s):
Date Created: 20251108 Date Completed: 20251206 Latest Revision: 20251206
Update Code:
20251207
DOI:
10.1016/j.neuroscience.2025.10.062
PMID:
41205898
Database:
MEDLINE

Weitere Informationen

One of the central aims of neuroscience is to reliably predict the behavioral response of an organism using its neural activity. If possible, this implies we can causally manipulate the neural response and design brain-computer-interface systems to alter behavior, and vice-versa. Hence, predictions play an important role in both fundamental neuroscience and its applications. Can we predict the neural and behavioral states of an organism at any given time? Can we predict behavioral states using neural states, and vice-versa, and is there a memory-component required to reliably predict such states? Are the predictions computable within a given timescale to meaningfully stimulate and make the system reach the desired states? Through a series of mathematical treatments, such conjectures and questions are discussed. Answering them might be key for future developments in understanding intelligence and designing brain-computer-interfaces.
(Published by Elsevier Inc.)

Declaration of competing interest The author declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.