Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval

Neural Computation

Volumn 24, Issue 1, 2012, Pages 32-59

  Wang, Jane X ^a   Zochowski, Michal ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED PATTERN RECOGNITION; BRAIN; CLASSIFICATION; COGNITION; FEEDBACK SYSTEM; HIPPOCAMPUS; HUMAN; LETTER; MEMORY; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; SLEEP; SYNAPSE; WAKEFULNESS;

BRAIN; COGNITION; FEEDBACK, PHYSIOLOGICAL; HIPPOCAMPUS; HUMANS; MEMORY; NERVE NET; NEURONS; PATTERN RECOGNITION, AUTOMATED; SLEEP; SYNAPSES; WAKEFULNESS;

EID: 83455200253     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00220     Document Type: Letter

References (46)

1. Adesnik, H., & Scanziani, M. (2010). Lateral competition for cortical space by layerspecific horizontal circuits. Nature, 464, 1155-1160.
2. Amit, D. J., & Brunel, N. (1997). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb. Cortex, 7, 237-252.
3. Ben-Yishai, R., Bar-Or, R. L., & Sompolinsky, H. (1995). Theory of orientation tuning in visual cortex. Proc. Natl. Acad. Sci., 92, 3844-3848.
4. Benes, F. M., & Berretta, S. (2001). GABAergic interneurons: Implications for understanding schizophrenia and bipolar disorder. Neuropsychopharmacology, 25, 1-27.
5. Booth, V., & Poe, G. R. (2006). Input source and strength influences overall firing phase of model hippocampal CA1 pyramidal cells during theta: Relevance to REM sleep reactivation and memory consolidation. Hippocampus, 16, 161-173.
6. Buzsáki, G. (2006). Rhythms of the brain. New York: Oxford University Press.
7. Davis, C. D., Jones, F. L., & Derrick, B. E. (2004). Novel environments enhance the induction and maintenance of long-term potentiation in the dentate gyrus. J. Neurosci., 24, 6497-6506.
8. Dubnau, J., Chiang, A. S., & Tully, T. (2003). Neural substrates of memory: From synapse to system. J. Neurobiol., 54, 238-253.
9. Durstewitz, D., Seamans, J. K., & Sejnowski, T. J. (2000). Neurocomputational models of working memory. Nat. Neurosci., 3(Suppl.), 1184-1191.
10. Ekstrom, A. D., Meltzer, J., McNaughton, B. L., & Barnes, C. A. (2001). NMDA receptor antagonism blocks experience-dependent expansion of hippocampal "place fields." Neuron, 31, 631-638.
11. Epsztein, J., Milh, M., Bihi, R. I., Jorquera, I., Ben-Ari, Y., Represa, A., et al. (2006).Ongoing epileptiform activity in the post-ischemic hippocampus is associated with a permanent shift of the excitatoryinhibitory synaptic balance in CA3 pyramidal neurons. J. Neurosci., 26, 7082-7092.
12. Gais, S., Lucas, B., & Born, J. (2006). Sleep after learning aids memory recall. Learn. Memory, 13, 259-262.
13. Haider, B., & McCormick, D. A. (2009). Rapid neocortical dynamics: Cellular and network mechanisms. Neuron, 62, 171-189.
14. Harris, K. D. (2005). Neural signatures of cell assembly organization. Nat. Rev. Neurosci., 6, 399-407.
15. Hasselmo, M. E. (1995). Neuromodulation and cortical function:Modeling the physiological basis of behavior. Behav. Brain Res., 67, 1-27.
16. Hasselmo, M. E., Schnell, E., & Barkai, E. (1995). Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in rat hippocampal region CA3. J. Neurosci., 15, 5249-5262.
17. Hasselmo, M. E., Wyble, B. P., & Wallenstein, G. V. (1996). Encoding and retrieval of episodic memories: Role of cholinergic and GABAergic modulation in the hippocampus. Hippocampus, 6, 693-708.
18. Hebb, D. O. (1949). The organization of behavior: A neuropsychological theory. Hoboken, NJ: Wiley.
19. Hopfield, J. J. (1982). Neural networks and physical systemswith emergent collective computational abilities. Proc. Natl. Acad. Sci., 79, 2554-2558.
20. Jablonski, P., Poe, G. R., & Zochowski, M. (2007). Structural network heterogeneities and network dynamics:Apossible dynamical mechanism for hippocampal memory reactivation. Phys. Rev. E, 75, 011912.
21. Kilman, V., van Rossum, M.C.W., & Turrigiano, G. G. (2002). Activity deprivation reduces miniature IPSC amplitude by decreasing the number of postsynaptic GABAA receptors clustered at neocortical synapses. J. Neurosci., 22, 1328-1337.
22. Leutgeb, J. K., Leutgeb, S., Moser, M.-B., & Moser, E. I. (2007). Pattern separation in the dentate gyrus and CA3 of the hippocampus. Science, 315, 961-966.
23. Liu, G. (2004). Local structural balance and functional interaction of excitatory and inhibitory synapses in hippocampal dendrites. Nat. Neurosci., 7, 373-379.
24. Louie, K., &Wilson, M. A. (2001). Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron, 29, 145-156.
25. Marr, D. (1971). Simple memory: A theory for archicortex. Philos. Trans. R. Soc. London, Ser. B, 262, 23-81.
26. Marty, S., Wehrlé, R., & Sotelo, C. (2000). Neuronal activity and brain-derived neurotrophic factor regulate the density of inhibitory synapses in organotypic slice cultures of postnatal hippocampus. J. Neurosci., 20, 8087-8095.
27. Mehta, M. R., Barnes, C. A., & McNaughton, B. L. (1997). Experience-dependent, asymmetric expansion of hippocampal place fields. Proc. Natl. Acad. Sci. USA, 94, 8918-8921.
28. Mori, M., Gähwiler, B. H., & Gerber, U. (2007). Recruitment of an inhibitory hippocampal network after bursting in a single granule cell. Proc. Natl. Acad. Sci. USA, 104, 7640-7645.
29. Müller, N., Mollenhauer, M., Rösler, A., & Kleinschmidt, A. (2005). The attentional field has a Mexican hat distribution. Vision Research, 45, 1129-1137.
30. Myers, C. E., & Scharfman, H. E. (2009). A role for Hilar cells in pattern separation in the dentate gyrus: A computational approach. Hippocampus, 19, 321-337.
31. O'Reilly, R. C., & McClelland, J. L. (1994). Hippocampal conjunctive encoding, storage, and recall: Avoiding a trade-off. Hippocampus, 4, 661-682.
32. Poe, G. R., Nitz, D. A., McNaughton, B. L., & Barnes, C. A. (2000). Experiencedependent phase-reversal of hippocampal neuron firing during REMsleep. Brain Res., 855, 176-180.
33. Riecke, H., Roxin, A., Madruga, S., & Solla, S. A. (2007). Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons. Chaos, 17, 026110.
34. Rolls, E. T. (1996). A theory of hippocampal function in memory. Hippocampus, 6, 601-620.
35. Rolls, E. T. (2007).An attractor network in the hippocampus: Theory and neurophysiology. Learn. Memory, 14, 714-731.
36. Roxin, A., Riecke, H., & Solla, S. A. (2004). Self-sustained activity in a small-world network of excitable neurons. Phys. Rev. Lett., 92, 198101.
37. Song, S., Miller, K. D., & Abbott, L. F. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat. Neurosci., 3, 919-926.
38. Treves, A., & Rolls, E. T. (1994). Computational analysis of the role of the hippocampus in memory. Hippocampus, 4, 374-391.
39. Turrigiano, G. G., & Nelson, S. B. (2004). Homeostatic plasticity in the developing nervous system. Nat. Rev. Neurosci., 5, 97-107.
40. Vogels, T. P., & Abbott, L. F. (2009). Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. Nat. Neurosci., 12, 483-491.
41. Wang, J. X., Poe, G. R., & Zochowski, M. (2008). From network heterogeneities to familiarity detection and hippocampal memory management. Phys. Rev. E, 78, 041905-041914.
42. Wang, X.-J. (1999). Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory. J. Neurosci., 19, 9587-9603.
43. Wang, X.-J., Tegner, J., Constantinidis, C., & Goldman-Rakic, P. S. (2004). Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory. Proc. Natl. Acad. Sci. USA, 101, 1368-1373.
44. Watts, D. J.,&Strogatz, S. H. (1998). Collective dynamics of "small-world" networks. Nature, 393, 440-442.
45. Wehr, M., & Zador, A. M. (2003). Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex. Nature, 426, 442-446.
46. Wong, K.-F., & Wang, X.-J. (2006).Arecurrent networkmechanism of time integration in perceptual decisions. J. Neurosci., 26, 1314-1328.