Abstract
One of the functional roles of the hippocampus is the storage and recall of associative memories. The hippocampus CA3 region has been hypothesized to function as an associative network. Dual oscillations have been recorded in brain regions involved in memory function in which a low frequency theta oscillation is subdivided into about seven subcycles of high frequency gamma oscillation. In this paper, the computational model of hippocampus CA3 proposed by Jensen et al. is realized using the Spike Response Model (SRM). The SRM-based network is able to demonstrate the same memory storage capability with added simplicity and flexibility. Different short term memory items are encoded by different subset of principal neurons and long term associative memory is maintained in the synaptic modifications of recurrent collaterals. The formation of associative memory is demonstrated in simulations.
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References
Arel, I., Rose, D.C., Karnowski, T.P.: Deep Machine Learning–A New Frontier in Artificial Intelligence Research. IEEE Comput. Intell. Mag. 5(4), 13–18 (2010)
Coyle, D.: Neural Network Based Auto Association and Time Series Prediction for Biosignal Processing in Brain Computer Interfaces. IEEE Computat. Intell. Mag. 4(4), 47–59 (2009)
Araneda, R., Andrade, R.: 5-hydroxytryptamine2 and 5-hydroxytryptamine1a receptors mediate opposing responses on membrane excitability in rat association cortex. Neuroscience 40(2), 399–412 (1991)
Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., Buzsaki, G.: Gamma (40-100 hz) oscillation in the hippocampus of the behaving rat. The Journal of Neuroscience 15(1), 47–60 (1995)
Campanac, E., Debanne, D.: Plasticity of neuronal excitability: Hebbian rules beyond the synapse. Archives Italiennes de Biologie 145, 277–287 (2007)
Cutsuridis, V., Cobb, S., Graham, B.P.: Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus 20(3), 423–446 (2010)
Debanne, D., Poo, M.M.: Spike-timing dependent plasticity beyond synapse–pre- and post-synaptic plasticity of intrinsic neuronal excitability. Frontiers in Synaptic Neurosci. 2(21), 1–5 (2010)
Fleischer, J.G., Krichmar, J.L.: Sensory integration and remapping in a model of the medial temporal lobe during maze navigation by a brain-based device. Journal of Integrative Neurosci. 6(3), 403–431 (2007)
Jensen, M.S., Azouz, R., Yaari, Y.: Spike after-depolarization and burst generation in adult rat hippocampal CA1 pyramidal cells. Journal of Physiology 492, 199–210 (1996)
Jensen, O., Idiart, M.A., Lisman, J.E.: Physiologically realistic formation of autoassociative memory in networks with theta/gamma oscillations: role of fast NMDA channels. Learning & Memory 3(2-3), 243–256 (1996)
Kandel, E.R., Spencer, W.A.: Electrophysiology of hippocampal neurons. ii. after-potentials and repetitive firing. Journal of Neurophysio. 24(3), 243–259 (1961)
Lavenex, P., Amaral, D.G.: Hippocampal-neocortical interaction: A hierarchy of associativity. Hippocampus 10(4), 420–430 (2000)
Lisman, J., Idiart, M.: Storage of 7 +/- 2 short-term memories in oscillatory subcycles. Science 267(5203), 1512–1515 (1995)
Maass, W., Bishop, C.M. (eds.): Pulsed Neural Networks. MIT Press, Cambridge (1998)
McKay, B.M., Matthews, E.A., Oliveira, F.A., Disterhoft, J.F.: Intrinsic neuronal excitability is reversibly altered by a single experience in fear conditioning. Journal of Neurophysio. 102(5), 2763–2770 (2009)
Miles, R.: Synaptic excitation of inhibitory cells by single CA3 hippocampal pyramidal cells of the guinea-pig in vitro. Journal of Physiology 428(1), 61–77 (1990)
Monyer, H., Burnashev, N., Laurie, D.J., Sakmann, B., Seeburg, P.H.: Developmental and regional expression in the rat brain and functional properties of four NMDA receptors. Neuron 12(3), 529–540 (1994)
O’Keefe, J., Recce, M.L.: Phase relationship between hippocampal place units and the eeg theta rhythm. Hippocampus 3(3), 317–330 (1993)
Pantic, L., Torres, J., Kappen, H.J., Gielen, S.C.: Associative memory with dynamic synapses. Neural Computation 14(12), 2903–2923 (2002)
Park, J.Y., Remy, S., Varela, J., Cooper, D.C., Chung, S., Kang, H.W., Lee, J.H., Spruston, N.: A post-burst afterdepolarization is mediated by group I metabotropic glutamate receptor-dependent upregulation of Cav2.3 R-type calcium channels in CA1 pyramidal neurons. PLoS Biol. 8(11), e1000534 (2010)
Rolls, E.T.: A computational theory of episodic memory formation in the hippocampus. Behavioural Brain Research 215(2), 180–196 (2010)
Sato, N., Yamaguchi, Y.: Spatial-area selective retrieval of multiple object-place associations in a hierarchical cognitive map formed by theta phase coding. Cognitive Neurodynamics 3(2), 131–140 (2009)
Sommer, F.T., Wennekers, T.: Associative memory in networks of spiking neurons. Neural Netw. 14(6-7), 825–834 (2001)
Storm, J.F.: An after-hyperpolarization of medium duration in rat hippocampal pyramidal cells. Journal of Physiology 409(1), 171–190 (1989)
Vanderwolf, C.: Hippocampal electrical activity and voluntary movement in the rat. Electroencephalography and Clinical Neurophysiology 26(4), 407–418 (1969)
Xu, J., Kang, N., Jiang, L., Nedergaard, M., Kang, J.: Activity-dependent long-term potentiation of intrinsic excitability in hippocampal CA1 pyramidal neurons. Journal of Neuros. 25(7), 1750–1760 (2005)
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Tan, C.H., Cheu, E.Y., Hu, J., Yu, Q., Tang, H. (2011). Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24955-6_59
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DOI: https://doi.org/10.1007/978-3-642-24955-6_59
Publisher Name: Springer, Berlin, Heidelberg
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