Work

Machine Learning and applied Artificial Intelligence in cognitive sciences and pyschology: a tutorial

Year: 2025

Type: conference-paper

Abstract: Artificial Intelligence (AI) both in general and in its current predominant version, mostly based on connectionist tenets, lives in the paradox of aiming to reproduce and simulate the workings of an immensely complex system, the biological brain, which are still to a large extent unknown.This gives us latitude for some interesting domain interplay: concepts from the cognitive sciences can be used to improve AI models, while AI can be used in data science mode to analyze cognitive processes in neuroscience, as well as brain pathologies from a medical standpoint.

Source: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

DOI: 10.14428/esann/2025.es2025-27

Authors: Caroline König, Alfredo Vellido

Institution: Universitat Politècnica de Catalunya

Language: English

Topic: Cognitive Computing and Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Universitat Politècnica de Catalunya, Agencia Estatal de Investigación

Awards: G2262748287, G3480869486, G376147840, G425668148, G7084143925