Title :
Using an animal learning model of the hippocampus to simulate human fMRI data
Author :
Kar, Kohitij ; Moustafa, Ahmed ; Myers, Catherine ; Gluck, Mark
Author_Institution :
New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
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.
Keywords :
biomedical MRI; brain; diseases; neural nets; BOLD signal; Parkinson disease; Schizophrenia; animal learning model; artificial neural network model; brain structures; hippocampus; human fMRI data; memory formation-retrievai; neurobiological diseases; probabilistic category learning; Animals; Basal ganglia; Brain modeling; Context modeling; Hippocampus; Humans; Mathematical model; Parkinson´s disease; Predictive models; Weather forecasting;
Conference_Titel :
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-6879-9
DOI :
10.1109/NEBC.2010.5458266
