Lakra, Anirudh;
Wingfield, Cai;
Zhang, Chao;
Thwaites, Andrew;
(2025)
Strategies for automatic generation of information processing pathway maps.
Frontiers in Neuroimaging
, 4
, Article 1608390. 10.3389/fnimg.2025.1608390.
Preview |
Text
Strategies for automatic generation of information processing pathway maps.pdf - Published Version Download (6MB) | Preview |
Abstract
Information Processing Pathway Maps (IPPMs) are a concise way to represent the evidence for the transformation of information as it travels around the brain. However, their construction currently relies on hand-drawn maps from electrophysical recordings such as magnetoencephalography (MEG) and electroencephalography (EEG). This is both inefficient and contains an element of subjectivity. A better approach would be to automatically generate IPPMs from the data and objectively evaluate their accuracy. In this work, we propose a range of possible strategies and compare them to select the best. To this end, we (a) provide a test dataset against which automatic IPPM creation procedures can be evaluated; (b) suggest two novel evaluation metrics—causality violation and transform recall—from which these proposed procedures can be evaluated; (c) conduct a simulation study to evaluate how well ground-truth IPPMs can be recovered using the automatic procedure; and (d) propose and evaluate a selection of different IPPM creation procedures. Our results suggest that the max pooling approach gives the best results on these metrics. We conclude with a discussion of the limitations of this framework, and possible future directions.
| Type: | Article |
|---|---|
| Title: | Strategies for automatic generation of information processing pathway maps |
| Location: | Switzerland |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fnimg.2025.1608390 |
| Publisher version: | https://doi.org/10.3389/fnimg.2025.1608390 |
| Language: | English |
| Additional information: | Copyright © 2025 Lakra, Wingfield, Zhang and Thwaites. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | Magnetoencepalography, electroencaphlography, auditory processing, motion processing, information processing pathway maps |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Speech, Hearing and Phonetic Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10219123 |
Archive Staff Only
 |
View Item |
