The hippocampus as a stable memory allocator for cortex

Neural Computation

Volumn 24, Issue 11, 2012, Pages 2873-2899

  Valiant, Leslie G ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; HIPPOCAMPUS; HUMAN; LEARNING; MEMORY; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY;

CEREBRAL CORTEX; COMPUTER SIMULATION; HIPPOCAMPUS; HUMANS; LEARNING; MEMORY; MODELS, NEUROLOGICAL; NERVE NET; NEURONS;

EID: 84874195580     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00357     Document Type: Article

References (48)

1. Abbott, L. F., & Chance, F. S. (2005). Drivers and modulators from push-pull and balanced synaptic input. Progress in Brain Research, 149, 147-155.
2. Amari, S. (1974). A method of statistical neurodynamics. Kybernetik, 14, 201-215.
3. Amit, D. J., & Brunel, N. (1997). Dynamics of a recurrent network of spiking neurons before and following learning. Computation in Neural Systems, 8, 343-404.
4. Anderson, P., Morris, R., Amaral, D., Bliss, T., & O'Keefe, J. (2007). The hippocampus book. New York: Oxford University Press.
5. Beal, J., & Knight, T. F. (2008). Analyzing composability in a sparse encoding model of memorization and association. In Proc. 7th IEEE International Conference on Development and Learning (ICDL 2008) (pp. 180-185). Piscataway, NJ: IEEE.
6. Cameron, H. A., & McKay, R.D.G. (2001). Adult neurogenesis produces a large pool of new granule cells in the dentate gyrus. J. Comp. Neurology, 435, 406-417.
7. Cohen, N. J. (1981). Neuropsychological evidence for a distinction betwen procedural and declarative knowledge in human memory and amnesis. Unpublished doctoral dissertation, University of California at San Diego. 2898 L. Valiant
8. Cohen, N. J., & Eichenbaum, H. (1993). Memory, amnesia and the hippocampal system. Cambridge, MA: MIT Press.
9. Csicsvari, J., Hirase, H., Czurko, A., & Buzsaki, G. (1990). Synaptic excitation of inhibitory cells by single CA3 hippocampal pyramidal cells of the guinea-pig in vitro. J. Physiol., 428, 61-77.
10. Csicsvari, J., Hirase, H., Czurko, A.,&Buzsaki, G. (1998). Reliability and state dependence of pyramidal cell interneuron synapses in the hippocampus: An ensemble approach in the behaving rat. Neuron, 21, 179-189.
11. Debanne, D., Gahwiler, B. H., & Thompson, S. M. (1999). Heterogeneity of synaptic plasticity at unitaryCA3-CA1 andCA3-CA3 connections in rat hippocampal slice cultures. J. Neurosci., 19, 10664-10671.
12. Diederich, J., Gunay, C., &Hogan, J. M. (2010). Recruitment learning. Berlin: Springer.
13. Feldman, J. A. (1982). Dynamic connections in neural networks. Biol. Cybern., 46, 27-39.
14. Feldman, V., & Valiant, L. G. (2009). Experience induced neural circuits that achieve high capacity. Neural Computation, 21, 2715-2754.
15. Gerbessiotis, A. V. (2003). Random graphs in a neural computation model. International Journal of Computer Mathematics, 80, 689-707.
16. Graham, B., & Willshaw, D. (1997). Capacity and information efficiency of the associative net. Network: Comput. Neural Syst., 8, 35-54.
17. Gunay, C., & Maida, A. S. (2006). A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biol. Cybern., 94(1), 33-45.
18. Hampson, R. E. (1999). Distribution of spatial and nonspatial information in dorsal hippocampus. Nature, 402, 610-614.
19. Hebb, D. O. (1949). The organization of behavior. NewYork: Wiley.
20. Kali, S., & Dayan, P. (2004). Off-line replay maintains declarative memories in a model of hippocampal-neocortical interactions. Nature Neuroscience, 7, 286-294.
21. Latham, P. E., & Nirenberg, S. (2004). Computing and stability in cortical networks. Neural Computation, 16, 1385-1412.
22. Marr, D. (1971). Simple memory: A theory of archicortex. Phil. Trans. Roy. Soc. B, 262, 23-81.
23. Martin, V. C., Schacter, D. L., Collins, M. C., & Rose, D. R. (2011). A role for the hippocampus in encoding simulations of future events. Proc. Natl. Acad. Sci., 108(33), 13858-13863.
24. Megias,M., Emri, Z., Freund, T. F., & Gulyas, A. I. (2001). Total number and distribution of inhibitory and excitatory synapses on hippocampal CA1 pyramidal cells. Neuroscience, 102, 527-540.
25. Miles, R., & Wong, R. K. S. (1983). Single neurones can initiate synchronized population discharge in the hippocampus. Nature, 306, 371-373.
26. Miles, R., & Wong, R. K. S. (1986). Excitatory synaptic interactions between CA3 neurones in the guinea-pig hippocampus. J. Physiol, 373, 397-418.
27. Minai, A. A., & Levy, W. B. (1994). Setting the activity level in sparse random networks. Neural Computation, 6, 85-99.
28. O'Keefe, J., & Nadel, L. (1978). The hippocampus as a cognitive map. Oxford: Clarendon Press. The Hippocampus as a Stable Memory Allocator for Cortex 2899
29. Peterson, C. C. H., Malenka, R. C., Nicoll, R. A., & Hopfield, J. J. (1998). All-or-none potentiation at CA3-CA1 synapses. Proc. Natl. Acad. Sci., 95, 4732-4737.
30. Redish, A. D., Battaglia, F. P., Chawla, M. K., Ekstrom, A. D., Gerard, J. L., Lipa, P., et al. (2001). Independence of firing correlates of anatomically proximate hippocampal pyramidal cells. J. Neuroscience, 21, RC134.
31. Rolls, E. T. (1996). A theory of hippocampal function in memory. Hippocampus, 6, 601-620.
32. Schacter, D. L., & Buckner, R. L. (1998). Priming and the brain. Neuron, 20, 185-195.
33. Schacter, D., & Tulving, E. (1994). Memory systems. Cambridge, MA: MIT Press.
34. Scoville,W. B.,&Milner, B. (1957). Loss of recentmemory after bilateral hippocampal lesions. J. Neurol. Neurosurg. Psychiatry, 20, 11-21.
35. Simic, G., Kostovic, I.,Winblad, B., & Bogdanovic, N. (1997). Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer's disease. J. of Comparative Neurology, 379, 482-494.
36. Smith, A. C.,Wu, X. B.,&Levy,W. B. (2006). Controlling activity fluctuations in large, sparse connected random networks. Network: Comput. Neural Syst., 11, 63-81.
37. Squire, L. R. (1992). Memory and the hippocampus: A synthesis from findings with rats, monkeys and humans. Psychol. Rev., 99, 195-231.
38. Tegne, J., Compte, A., &Wang, X.-J. (2002). The dynamical stability of reverberatory neural circuits. Biol. Cybern., 87, 471-481.
39. Teyler, T. J., &DiScenna, P. (1986). The hippocampal memory indexing theory. Behav. Neurosci., 100, 147-152.
40. Thompson, L. T., & Best, P. J. (1990). Long-term stability of the place-field activity of single units recorded from the dorsal hippocampus of freely behaving rats. Brain Research, 509, 299-308.
41. Tulving, E. (1983). Elements of episodic memory. Oxford: Clarendon Press.
42. Valiant, L. G. (1994). Circuits of the mind. New York: Oxford University Press.
43. Valiant, L. G. (2005). Memorization and association on a realistic neural model. Neural Computation, 17, 527-555.
44. Walker,M. A., Highley, J. R., Esiri,M.M., McDonald, B., Roberts, H. C., Evans, S. P., et al. (2002). Estimated neuronal populations and volumes of the hippocampus and its subfields in schizophrenia. Am. J. Psychiatry, 159, 821-828.
45. Waydo, S.,Kraskov, A., Quiroga, R. Q., Fried, I.,&Koch,C. (2006). Sparse representation in the human medial temporal lobe. Journal of Neuroscience, 26, 10232-10234.
46. West, M. J., & Gunderson, H.J.G. (1990). Unbiased stereological estimation of the number of neurons in the human hippocampus. Journal of Comparative Neurology, 296, 1-22.
47. Wickelgren, W. A. (1979). Chunking and consolidation. Psychological Review, 86, 44-60.
48. Wierzynski, C. M., Lubenov, E. V., Gu, M., & Siapas, A. G. (2009). State-dependent spike timing relationships between hippocampal and prefrontal circuits during sleep. Neuron, 61(4), 587-596.