![](/images/graphics-bg.png)
Hippocampal Anatomy Supports the Use of Context in Object Recognition : A Computational Model
Joint Authors
Fellous, Jean-Marc
Howard, Mike
Greene, Patrick
Bhattacharyya, Rajan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-25
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The human hippocampus receives distinct signals via the lateral entorhinal cortex, typically associated with object features, and the medial entorhinal cortex, associated with spatial or contextual information.
The existence of these distinct types of information calls for some means by which they can be managed in an appropriate way, by integrating them or keeping them separate as required to improve recognition.
We hypothesize that several anatomical features of the hippocampus, including differentiation in connectivity between the superior/inferior blades of DG and the distal/proximal regions of CA3 and CA1, work together to play this information managing role.
We construct a set of neural network models with these features and compare their recognition performance when given noisy or partial versions of contexts and their associated objects.
We found that the anterior and posterior regions of the hippocampus naturally require different ratios of object and context input for optimal performance, due to the greater number of objects versus contexts.
Additionally, we found that having separate processing regions in DG significantly aided recognition in situations where object inputs were degraded.
However, split processing in both DG and CA3 resulted in performance tradeoffs, though the actual hippocampus may have ways of mitigating such losses.
American Psychological Association (APA)
Greene, Patrick& Howard, Mike& Bhattacharyya, Rajan& Fellous, Jean-Marc. 2013. Hippocampal Anatomy Supports the Use of Context in Object Recognition : A Computational Model. Computational Intelligence and Neuroscience،Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-461177
Modern Language Association (MLA)
Greene, Patrick…[et al.]. Hippocampal Anatomy Supports the Use of Context in Object Recognition : A Computational Model. Computational Intelligence and Neuroscience No. 2013 (2013), pp.1-19.
https://search.emarefa.net/detail/BIM-461177
American Medical Association (AMA)
Greene, Patrick& Howard, Mike& Bhattacharyya, Rajan& Fellous, Jean-Marc. Hippocampal Anatomy Supports the Use of Context in Object Recognition : A Computational Model. Computational Intelligence and Neuroscience. 2013. Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-461177
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461177