A biophysical model of synaptic plasticity and metaplasticity can account for the dynamics of the backward shift of hippocampal place fields

Journal of Neurophysiology

Volumn 100, Issue 2, 2008, Pages 983-992

  Yu, Xintian ^a   Shouval, Harel Z ^a   Knierim, James J ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

N METHYL DEXTRO ASPARTIC ACID RECEPTOR; CALCIUM;

ARTICLE; CALCIUM TRANSPORT; HIPPOCAMPUS; HOMEOSTASIS; MATHEMATICAL MODEL; NERVE CELL PLASTICITY; PRIORITY JOURNAL; VISUAL CORTEX; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; FEEDBACK SYSTEM; METABOLISM; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; SYNAPSE;

ACTION POTENTIALS; ANIMALS; CALCIUM; COMPUTER SIMULATION; FEEDBACK; HIPPOCAMPUS; MODELS, NEUROLOGICAL; NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS; SYNAPSES;

EID: 55249109740     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.01256.2007     Document Type: Article

References (44)

1. Abarbanel HD, Gibb L, Huerta R, Rabinovich MI. Biophysical model of synaptic plasticity dynamics. Biol Cybern 89: 214-226, 2003.
2. Abraham WC, Bear MF. Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci 19: 126-130, 1996.
3. Bellone C, Nicoll RA. Rapid bidirectional switching of synaptic NMDA receptors. Neuron 55: 779-785, 2007.
4. Bi GQ, Poo MM. Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J Neurosci 18: 10464-10472, 1998.
5. Bienenstock EL, Cooper LN, Munro PW. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J Neurosci 2: 32-48, 1982.
6. Bliss TV, Lømo T. Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. J Physiol 232: 331-356, 1973.
7. Blum KI, Abbott LF. A model of spatial map formation in the hippocampus of the rat. Neural Comput 8: 85-93, 1996.
8. Carmignoto G, Vicini S. Activity-dependent decrease in NMDA receptor responses during development of the visual cortex. Science 258: 1007-1011, 1992.
9. Cooper LN, Intrator N, Blais B, Shouval HZ. Theory of Cortical Plasticity. River Edge, NJ: World Scientific, 2004.
10. Dudek SM, Bear MF. Homosynaptic long-term depression in area CA1 of hippocampus and effects of N-methyl-D-aspartate receptor blockade. Proc Natl Acad Sci USA 89: 4363-4367, 1992.
11. Ekstrom AD, Meltzer J, McNaughton BL, Barnes CA. NMDA receptor antagonism blocks experience-dependent expansion of hippocampal "place fields." Neuron 31: 631-638, 2001.
12. Frank LM, Stanley GB, Brown EN. Hippocampal plasticity across multiple days of exposure to novel environments. J Neurosci 24: 7681-7689, 2004.
13. Fu YX, Djupsund K, Gao H, Hayden B, Shen K, Dan Y. Temporal specificity in the cortical plasticity of visual space representation. Science 296: 1999-2003, 2002.
14. Hebb DO. The Organization of Behavior. New York: Wiley, 1949.
15. Huxter J, Burgess N, O'Keefe J. Independent rate and temporal coding in hippocampal pyramidal cells. Nature 425: 828-832, 2003.
16. Jahr CE, Stevens CF. Voltage dependence of NMDA-activated macroscopic conductances predicted by single-channel kinetics. J Neurosci 10: 3178-3182, 1990.
17. Larson J, Wong D, Lynch G. Patterned stimulation at the theta frequency is optimal for the induction of hippocampal long-term potentiation. Brain Res 368: 347-350, 1986.
18. Lee I, Griffin AL, Zilli EA, Eichenbaum H, Hasselmo ME. Gradual translocation of spatial correlates of neuronal firing in the hippocampus toward prospective reward locations. Neuron 51: 639-650, 2006.
19. Lee I, Knierim JJ. The relationship between the field-shifting phenomenon and representational coherence of place cells in CA1 and CA3 in a cue-altered environment. Learn Mem 14: 807-815, 2007.
20. Lee I, Rao G, Knierim JJ. A double dissociation between hippocampal subfields: differential time course of CA3 and CA1 place cells for processing changed environments. Neuron 42: 803-815, 2004.
21. Levy WB. A computational approach to hippocampal function. In: Computational Models of Learning in Simple Neural Systems: The Psychology of Learning and Motivation, edited by Hawkins RD, Bower GH. New York: Academic Press, 1989, vol. 23, p. 243-305.
22. Levy WB. A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal-like tasks. Hippocampus 6: 579-590, 1996.
23. Levy WB, Steward O. Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus. Neuroscience 8: 791-797, 1983.
24. Markram H, Helm PJ, Sakmann B. Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons. J Physiol 485: 1-20, 1995.
25. Markram H, Lubke J, Frotscher M, Sakmann B. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275: 213-215, 1997.
26. Mehta MR, Barnes CA, McNaughton BL. Experience-dependent, asymmetric expansion of hippocampal place fields. Proc Natl Acad Sci USA 94: 8918-8921, 1997.
27. Mehta MR, Quirk MC, Wilson MA. Experience-dependent asymmetric shape of hippocampal receptive fields. Neuron 25: 707-715, 2000.
28. Nishiyama M, Hong K, Mikoshiba K, Poo MM, Kato K. Calcium stores regulate the polarity and input specificity of synaptic modification. Nature 408: 584-588, 2000.
29. Philpot BD, Sekhar AK, Shouval HZ, Bear MF. Visual experience and deprivation bidirectionally modify the composition and function of NMDA receptors in visual cortex. Neuron 29: 157-169, 2001.
30. Quinlan EM, Philpot BD, Huganir RL, Bear MF. Rapid, experience-dependent expression of synaptic NMDA receptors in visual cortex in vivo. Nat Neurosci 2: 352-357, 1999.
31. Rao A, Craig AM. Activity regulates the synaptic localization of the NMDA receptor in hippocampal neurons. Neuron 19: 801-812, 1997.
32. Rubin JE, Gerkin RC, Bi GQ, Chow CC. Calcium time course as a signal for spike-timing-dependent plasticity. J Neurophysiol 93: 2600-2613, 2005.
33. 2+ ions in dendritic spines. Neuron 33: 439-452, 2002.
34. Shouval HZ, Bear MF, Cooper LN. A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proc Natl Acad Sci USA 99: 10831-10836, 2002.
35. Shouval HZ, Kalantzis G. Stochastic properties of synaptic transmission affect the shape of spike time-dependent plasticity curves. J Neurophysiol 93: 1069-1073, 2005.
36. Sjostrom PJ, Turrigiano GG, Nelson SB. Rate, timing, and cooperativity jointly determine cortical synaptic plasticity. Neuron 32: 1149-1164, 2001.
37. Song S, Miller KD, Abbott LF. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3: 919-926, 2000.
38. Turrigiano GG. Homeostatic plasticity in neuronal networks: the more things change, the more they stay the same. Trends Neurosci 22: 221-227, 1999.
39. Watt AJ, van Rossum MC, MacLeod KM, Nelson SB, Turrigiano GG. Activity coregulates quantal AMPA and NMDA currents at neocortical synapses. Neuron 26: 659-670, 2000.
40. Wittenberg GM, Wang SS. Malleability of spike-timing-dependent plasticity at the CA3-CA1 synapse. J Neurosci 26: 6610-6617, 2006.
41. Yao H, Dan Y. Stimulus timing-dependent plasticity in cortical processing of orientation. Neuron 32: 315-323, 2001.
42. Yeung LC, Shouval HZ, Blais BS, Cooper LN. Synaptic homeostasis and input selectivity follow from a calcium-dependent plasticity model. Proc Natl Acad Sci USA 101: 14943-14948, 2004.
43. Yu X, Knierim J, Lee I, Shouval H. Simulating place field dynamics using spike timing-dependent plasticity. Neurocomputing 69: 1253-1259, 2006.
44. Yu X, Yoganarasimha D, Knierim JJ. Backward shift of head direction tuning curves of the anterior thalamus: comparison with CA1 place fields. Neuron 52: 717-729, 2006.