Using an animal learning model of the hippocampus to simulate human fMRI data

Kohitij Kar; Ahmed Moustafa; Catherine Myers; Mark Gluck

doi:10.1109/NEBC.2010.5458266

Using an animal learning model of the hippocampus to simulate human fMRI data

Kohitij Kar, Ahmed Moustafa, Catherine Myers, Mark Gluck

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show that symptoms of neurobiological diseases like Parkinson's disease (PD) and Schizophrenia can be simulated and studied using the model.]]

Original language	English
Title of host publication	Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010, 26-28 March, New York, NY
Publisher	IEEE
Number of pages	2
ISBN (Print)	9781424468799
DOIs	https://doi.org/10.1109/NEBC.2010.5458266
Publication status	Published - 2010
Event	Northeast Bioengineering Conference - Duration: 26 Mar 2010 → …

Conference

Conference	Northeast Bioengineering Conference
Period	26/03/10 → …

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10.1109/NEBC.2010.5458266

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@inproceedings{cf3c886793f44812b76a665549dfcb64,

title = "Using an animal learning model of the hippocampus to simulate human fMRI data",

abstract = "![CDATA[Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show that symptoms of neurobiological diseases like Parkinson's disease (PD) and Schizophrenia can be simulated and studied using the model.]]",

author = "Kohitij Kar and Ahmed Moustafa and Catherine Myers and Mark Gluck",

year = "2010",

doi = "10.1109/NEBC.2010.5458266",

language = "English",

isbn = "9781424468799",

booktitle = "Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010, 26-28 March, New York, NY",

publisher = "IEEE",

note = "Northeast Bioengineering Conference ; Conference date: 26-03-2010",

}

TY - GEN

T1 - Using an animal learning model of the hippocampus to simulate human fMRI data

AU - Kar, Kohitij

AU - Moustafa, Ahmed

AU - Myers, Catherine

AU - Gluck, Mark

PY - 2010

Y1 - 2010

N2 - ![CDATA[Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show that symptoms of neurobiological diseases like Parkinson's disease (PD) and Schizophrenia can be simulated and studied using the model.]]

AB - ![CDATA[Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show that symptoms of neurobiological diseases like Parkinson's disease (PD) and Schizophrenia can be simulated and studied using the model.]]

UR - http://handle.uws.edu.au:8081/1959.7/562705

UR - http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16907

U2 - 10.1109/NEBC.2010.5458266

DO - 10.1109/NEBC.2010.5458266

M3 - Conference Paper

SN - 9781424468799

BT - Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010, 26-28 March, New York, NY

PB - IEEE

T2 - Northeast Bioengineering Conference

Y2 - 26 March 2010

ER -

Using an animal learning model of the hippocampus to simulate human fMRI data

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