Combining spatial and parametric working memory in a dynamic neural field model
We present a novel dynamic neural field model consisting of two coupled fields of Amari-type which supports the existence of localized activity patterns or “bumps” with a continuum of amplitudes. Bump solutions have been used in the past to model spatial working memory. We apply the model to explain...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2016
|
| Online Access: | https://eprints.nottingham.ac.uk/40913/ |
| _version_ | 1848796161450704896 |
|---|---|
| author | Wojtak, Weronika Coombes, Stephen Bicho, Estela Erlhagen, Wolfram |
| author_facet | Wojtak, Weronika Coombes, Stephen Bicho, Estela Erlhagen, Wolfram |
| author_sort | Wojtak, Weronika |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We present a novel dynamic neural field model consisting of two coupled fields of Amari-type which supports the existence of localized activity patterns or “bumps” with a continuum of amplitudes. Bump solutions have been used in the past to model spatial working memory. We apply the model to explain input-specific persistent activity that increases monotonically with the time integral of the input (parametric working memory). In numerical simulations of a multi-item memory task, we show that the model robustly memorizes the strength and/or duration of inputs. Moreover, and important for adaptive behavior in dynamic environments, the memory strength can be changed at any time by new behaviorally relevant information. A direct comparison of model behaviors shows that the 2-field model does not suffer the problems of the classical Amari model when the inputs are presented sequentially as opposed to simultaneously. |
| first_indexed | 2025-11-14T19:43:35Z |
| format | Article |
| id | nottingham-40913 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:43:35Z |
| publishDate | 2016 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-409132020-05-04T18:07:04Z https://eprints.nottingham.ac.uk/40913/ Combining spatial and parametric working memory in a dynamic neural field model Wojtak, Weronika Coombes, Stephen Bicho, Estela Erlhagen, Wolfram We present a novel dynamic neural field model consisting of two coupled fields of Amari-type which supports the existence of localized activity patterns or “bumps” with a continuum of amplitudes. Bump solutions have been used in the past to model spatial working memory. We apply the model to explain input-specific persistent activity that increases monotonically with the time integral of the input (parametric working memory). In numerical simulations of a multi-item memory task, we show that the model robustly memorizes the strength and/or duration of inputs. Moreover, and important for adaptive behavior in dynamic environments, the memory strength can be changed at any time by new behaviorally relevant information. A direct comparison of model behaviors shows that the 2-field model does not suffer the problems of the classical Amari model when the inputs are presented sequentially as opposed to simultaneously. Springer Verlag 2016-08-13 Article PeerReviewed Wojtak, Weronika, Coombes, Stephen, Bicho, Estela and Erlhagen, Wolfram (2016) Combining spatial and parametric working memory in a dynamic neural field model. Lecture Notes in Computer Science, 9886 . pp. 411-418. ISSN 0302-9743 http://link.springer.com/chapter/10.1007/978-3-319-44778-0_48 doi:10.1007/978-3-319-44778-0_48 doi:10.1007/978-3-319-44778-0_48 |
| spellingShingle | Wojtak, Weronika Coombes, Stephen Bicho, Estela Erlhagen, Wolfram Combining spatial and parametric working memory in a dynamic neural field model |
| title | Combining spatial and parametric working memory in a dynamic neural field model |
| title_full | Combining spatial and parametric working memory in a dynamic neural field model |
| title_fullStr | Combining spatial and parametric working memory in a dynamic neural field model |
| title_full_unstemmed | Combining spatial and parametric working memory in a dynamic neural field model |
| title_short | Combining spatial and parametric working memory in a dynamic neural field model |
| title_sort | combining spatial and parametric working memory in a dynamic neural field model |
| url | https://eprints.nottingham.ac.uk/40913/ https://eprints.nottingham.ac.uk/40913/ https://eprints.nottingham.ac.uk/40913/ |