Neuroscience : Mapping the semantic representation of the brain
(2020) p.107-123- Abstract
Introducing the concept of semantic representation in the brain as well as highlighting their relevance for day-to-day human functioning. Presenting a brief overview of different theoretical viewpoints on semantic representation in the brain along with empirical evidence implicating brain areas designated for semantic processing. Illustrating how statistical semantics and semantic spaces have been utilized within the realm of neuroscience in order to decipher the neural substrates of numerous semantic categories. Reconciling findings from conventional research on semantic representation with those from novel data-driven approaches. Specifying strengths and weaknesses of statistical semantics as an approach to neuroscientific issues as... (More)
Introducing the concept of semantic representation in the brain as well as highlighting their relevance for day-to-day human functioning. Presenting a brief overview of different theoretical viewpoints on semantic representation in the brain along with empirical evidence implicating brain areas designated for semantic processing. Illustrating how statistical semantics and semantic spaces have been utilized within the realm of neuroscience in order to decipher the neural substrates of numerous semantic categories. Reconciling findings from conventional research on semantic representation with those from novel data-driven approaches. Specifying strengths and weaknesses of statistical semantics as an approach to neuroscientific issues as well as raising potential problems of the method and outstanding questions for future research.
(Less)
- author
- Langensee, Larissa LU and Mårtensson, Johan LU
- organization
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Statistical Semantics : Methods and Applications - Methods and Applications
- pages
- 17 pages
- publisher
- Springer International Publishing
- external identifiers
-
- scopus:85089330131
- ISBN
- 9783030372507
- 9783030372491
- DOI
- 10.1007/978-3-030-37250-7_7
- language
- English
- LU publication?
- yes
- id
- 6d7fcefc-31b3-4b8c-a5d7-5234ea328452
- date added to LUP
- 2020-08-24 08:44:51
- date last changed
- 2024-08-22 02:14:10
@inbook{6d7fcefc-31b3-4b8c-a5d7-5234ea328452, abstract = {{<p>Introducing the concept of semantic representation in the brain as well as highlighting their relevance for day-to-day human functioning. Presenting a brief overview of different theoretical viewpoints on semantic representation in the brain along with empirical evidence implicating brain areas designated for semantic processing. Illustrating how statistical semantics and semantic spaces have been utilized within the realm of neuroscience in order to decipher the neural substrates of numerous semantic categories. Reconciling findings from conventional research on semantic representation with those from novel data-driven approaches. Specifying strengths and weaknesses of statistical semantics as an approach to neuroscientific issues as well as raising potential problems of the method and outstanding questions for future research.</p>}}, author = {{Langensee, Larissa and Mårtensson, Johan}}, booktitle = {{Statistical Semantics : Methods and Applications}}, isbn = {{9783030372507}}, language = {{eng}}, pages = {{107--123}}, publisher = {{Springer International Publishing}}, title = {{Neuroscience : Mapping the semantic representation of the brain}}, url = {{http://dx.doi.org/10.1007/978-3-030-37250-7_7}}, doi = {{10.1007/978-3-030-37250-7_7}}, year = {{2020}}, }