IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Using Computational Modelling to Understand Cognition in the Ventral Visual-Perirhinal Pathway

Using Computational Modelling to Understand Cognition in the Ventral Visual-Perirhinal Pathway
View Sample PDF
Author(s): Rosemary A. Cowell (University of California, San Diego, USA), Timothy J. Bussey (University of Cambridge, UK)and Lisa M. Saksida (University of Cambridge, UK)
Copyright: 2011
Pages: 31
Source title: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications
Source Author(s)/Editor(s): Eduardo Alonso (City University, UK)and Esther Mondragón (University College London, UK)
DOI: 10.4018/978-1-60960-021-1.ch002

Purchase

View Using Computational Modelling to Understand Cognition in the Ventral Visual-Perirhinal Pathway on the publisher's website for pricing and purchasing information.

Abstract

The authors present a series of studies in which computational models are used as a tool to examine the organization and function of the ventral visual-perirhinal stream in the brain. The prevailing theoretical view in this area of cognitive neuroscience holds that the object-processing pathway has a modular organization, in which visual perception and visual memory are carried out independently. They use computational simulations to demonstrate that the effects of brain damage on both visual discrimination and object recognition memory may not be due to an impairment in a specific function such as memory or perception, but are more likely due to compromised object representations in a hierarchical and continuous representational system. The authors argue that examining the nature of stimulus representations and their processing in cortex is a more fruitful approach than attempting to map cognition onto functional modules.

Related Content

Bhargav Naidu Matcha, Sivakumar Sivanesan, K. C. Ng, Se Yong Eh Noum, Aman Sharma. © 2023. 60 pages.
Lavanya Sendhilvel, Kush Diwakar Desai, Simran Adake, Rachit Bisaria, Hemang Ghanshyambhai Vekariya. © 2023. 15 pages.
Jayanthi Ganapathy, Purushothaman R., Ramya M., Joselyn Diana C.. © 2023. 14 pages.
Prince Rajak, Anjali Sagar Jangde, Govind P. Gupta. © 2023. 14 pages.
Mustafa Eren Akpınar. © 2023. 9 pages.
Sreekantha Desai Karanam, Krithin M., R. V. Kulkarni. © 2023. 34 pages.
Omprakash Nayak, Tejaswini Pallapothala, Govind P. Gupta. © 2023. 19 pages.
Body Bottom