Spiking Phineas Gage: A Neurocomputational Theory of Cognitive–Affective Integration in Decision Making

Abstract
The authors present a neurological theory of how cognitive information and emotional information are integrated in the nucleus accumbens during effective decision making. They describe how the nucleus accumbens acts as a gateway to integrate cognitive information from the ventromedial prefrontal cortex and the hippocampus with emotional information from the amygdala. The authors have modeled this integration by a network of spiking artificial neurons organized into separate areas and used this computational model to simulate 2 kinds of cognitive–affective integration. The model simulates successful performance by people with normal cognitive–affective integration. The model also simulates the historical case of Phineas Gage as well as subsequent patients whose ability to make decisions became..
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 11,005
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Citations of this work BETA
Similar books and articles
Alan H. Bond & Michael Raleigh (1999). The Integration of Motivation. Behavioral and Brain Sciences 22 (3):518-519.
Beatrice De Gelder, Jean Vroomen & Gilles Pourtois (2001). Covert Affective Cognition and Affective Blindsight. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press. 205-221.
Analytics

Monthly downloads

Added to index

2010-12-22

Total downloads

11 ( #136,455 of 1,101,125 )

Recent downloads (6 months)

1 ( #290,452 of 1,101,125 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.