A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall

Episodic memory is supported by the relational memory functions of the hippocampus. Building upon extensive neuroscience research on hippocampal processing, neural density, and connectivity we have implemented a computational architecture using variants of adaptive resonance theory artificial neural networks. Consequently, this model is capable of encoding, storing and processing multi-modal sensory inputs as well as simulating qualitative memory phenomena such as auto-association and recall. The performance of the model is compared with human subject performance. Thus, in this paper we present a neurologically plausible artificial neural network computational architecture of episodic memory and recall modeled after cortical-hippocampal structure and function.

[1]  J. Nazuno Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .

[2]  S. Walczak,et al.  Artificial neural network medical decision support tool: predicting transfusion requirements of ER patients , 2005, IEEE Transactions on Information Technology in Biomedicine.

[3]  E. Rolls,et al.  A computational theory of hippocampal function, and empirical tests of the theory , 2006, Progress in Neurobiology.

[4]  R. O’Reilly,et al.  Conjunctive representations, the hippocampus, and contextual fear conditioning , 2001, Cognitive, affective & behavioral neuroscience.

[5]  B. McNaughton,et al.  Independent Codes for Spatial and Episodic Memory in Hippocampal Neuronal Ensembles , 2005, Science.

[6]  J. Kaas,et al.  The evolution of the neocortex in mammals: how is phenotypic diversity generated? , 2005, Current Opinion in Neurobiology.

[7]  H. Eichenbaum,et al.  3.33 – Evolution of the Hippocampus , 2007 .

[8]  H. Eichenbaum,et al.  Memory, amnesia, and the hippocampal system , 1993 .

[9]  Robert E. Kingsley Concise Text of Neuroscience , 1996 .

[10]  Stephen Grossberg,et al.  Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system , 1991, Neural Networks.

[11]  D. Amaral,et al.  Perirhinal and postrhinal cortices of the rat: A review of the neuroanatomical literature and comparison with findings from the monkey brain , 1995, Hippocampus.

[12]  D. Amaral,et al.  Perirhinal and parahippocampal cortices of the macaque monkey: Cortical afferents , 1994, The Journal of comparative neurology.

[13]  Lluís Vila,et al.  A Survey on Temporal Reasoning in Artificial Intelligence , 1994, AI Communications.

[14]  H. Eichenbaum,et al.  From Conditioning to Conscious Recollection , 2001 .