loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: José Paulo Marques dos Santos 1 ; Luiz Moutinho 2 and Miguel Castelo-Branco 3

Affiliations: 1 University Institute of Maia, University of Beira Interior and University of Porto, Portugal ; 2 University of Glasgow, United Kingdom ; 3 University of Coimbra, Portugal

Keyword(s): Cognition; Behavioral prediction; fMRI; Artificial Neural Networks

Abstract: The main goal of the present study is to launch the foundations of a pipeline for fMRI-based human behavior classification, addressing however some particularities of cognitive processes. While studying cognition, much of the experiments with fMRI use devices to record subjects’ responses, which recruits the participation of the motor cortex. Although the influence of this aspect may be reduced in subtractive univariate analyses methods, it may negatively interfere in multivariate methods. The fMRI data here used is exempted of motor responses. Subjects were asked to form impressions about persons, objects, and brands, but their thoughts were not recorded by devices. The feedforward backpropagation artificial neural network was used. With this procedure it was possible to correctly classify above randomness. The analysis of the hidden nodes reveals the extensive participation of the fusiform gyri and lateral occipital cortex in this cognitive process, corroborating the critical parti cipation of these structures during classification in the natural brain. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.88.137

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Marques dos Santos, J.; Moutinho, L. and Castelo-Branco, M. (2014). 'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses. In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP; ISBN 978-989-758-041-3, SciTePress, pages 45-52. DOI: 10.5220/0005126400450052

@conference{anniip14,
author={José Paulo {Marques dos Santos}. and Luiz Moutinho. and Miguel Castelo{-}Branco.},
title={'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP},
year={2014},
pages={45-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005126400450052},
isbn={978-989-758-041-3},
}

TY - CONF

JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP
TI - 'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses
SN - 978-989-758-041-3
AU - Marques dos Santos, J.
AU - Moutinho, L.
AU - Castelo-Branco, M.
PY - 2014
SP - 45
EP - 52
DO - 10.5220/0005126400450052
PB - SciTePress