Minimal Neural Network Conditions for Encoding Future Interactions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F25%3A00618161" target="_blank" >RIV/67985823:_____/25:00618161 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1142/S0129065725500169" target="_blank" >https://doi.org/10.1142/S0129065725500169</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0129065725500169" target="_blank" >10.1142/S0129065725500169</a>

Result language

angličtina

Original language name

Minimal Neural Network Conditions for Encoding Future Interactions

Original language description

Space and time are fundamental attributes of the external world. Deciphering the brain mechanisms involved in processing the surrounding environment is one of the main challenges in neuroscience. This is particularly defiant when situations change rapidly over time because of the intertwining of spatial and temporal information. However, understanding the cognitive processes that allow coping with dynamic environments is critical, as the nervous system evolved in them due to the pressure for survival. Recent experiments have revealed a new cognitive mechanism called time compaction. According to it, a dynamic situation is represented internally by a static map of the future interactions between the perceived elements (including the subject itself). The salience of predicted interactions (e.g. collisions) over other spatiotemporal and dynamic attributes during the processing of time-changing situations has been shown in humans, rats, and bats. Motivated by this ubiquity, we study an artificial neural network to explore its minimal conditions necessary to represent a dynamic stimulus through the future interactions present in it. We show that, under general and simple conditions, the neural activity linked to the predicted interactions emerges to encode the perceived dynamic stimulus. Our results show that this encoding improves learning, memorization and decision making when dealing with stimuli with impending interactions compared to no-interaction stimuli. These findings are in agreement with theoretical and experimental results that have supported time compaction as a novel and ubiquitous cognitive process.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Neural Systems

ISSN

0129-0657

e-ISSN

1793-6462

Volume of the periodical

35

Issue of the periodical within the volume

04

Country of publishing house

SG - SINGAPORE

Number of pages

22

Pages from-to

2550016

UT code for WoS article

001433756300001

EID of the result in the Scopus database

2-s2.0-85219133769