NDLI: Limiting Factors for Mapping Corpus-Based Semantic Representations to Brain Activity

Content Provider	PubMed Central
Author	Bullinaria, John A. Levy, Joseph P.
Editor	Thomas, Wennekers
Copyright Year	2013
Abstract	To help understand how semantic information is represented in the human brain, a number of previous studies have explored how a linear mapping from corpus derived semantic representations to corresponding patterns of fMRI brain activations can be learned. They have demonstrated that such a mapping for concrete nouns is able to predict brain activations with accuracy levels significantly above chance, but the more recent elaborations have achieved relatively little performance improvement over the original study. In fact, the absolute accuracies of all these models are still currently rather limited, and it is not clear which aspects of the approach need improving in order to achieve performance levels that might lead to better accounts of human capabilities. This paper presents a systematic series of computational experiments designed to identify the limiting factors of the approach. Two distinct series of artificial brain activation vectors with varying levels of noise are introduced to characterize how the brain activation data restricts performance, and improved corpus based semantic vectors are developed to determine how the word set and model inputs affect the results. These experiments lead to the conclusion that the current state-of-the-art input semantic representations are already operating nearly perfectly (at least for non-ambiguous concrete nouns), and that it is primarily the quality of the fMRI data that is limiting what can be achieved with this approach. The results allow the study to end with empirically informed suggestions about the best directions for future research in this area.
Related Links	http://dx.doi.org/10.1371/journal.pone.0057191
Starting Page	57191
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	3
Volume Number	8
Language	English
Publisher	Public Library of Science
Publisher Date	2013-03-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards a Communication Brain Computer Interface Based on Semantic Relations

Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks

Brain Entropy Mapping Using fMRI

Topical Application of Activity-based Probes for Visualization of Brain Tumor Tissue

Classification of Types of Stuttering Symptoms Based on Brain Activity

A DNA-Based Semantic Fusion Model for Remote Sensing Data

Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data

Brain/MINDS: brain-mapping project in Japan

Predictive Mapping of Human Risk for West Nile Virus (WNV) Based on Environmental and Socioeconomic Factors

Limiting Factors for Mapping Corpus-Based Semantic Representations to Brain Activity

Similar Documents

Towards a Communication Brain Computer Interface Based on Semantic Relations

Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks

Brain Entropy Mapping Using fMRI

Topical Application of Activity-based Probes for Visualization of Brain Tumor Tissue

Classification of Types of Stuttering Symptoms Based on Brain Activity

A DNA-Based Semantic Fusion Model for Remote Sensing Data

Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data

Brain/MINDS: brain-mapping project in Japan

Predictive Mapping of Human Risk for West Nile Virus (WNV) Based on Environmental and Socioeconomic Factors

Limiting Factors for Mapping Corpus-Based Semantic Representations to Brain Activity