Studies on sparse array cortical modeling and memory cognition duality

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2006, Pages 4954-4957

  Majumdar, K K ^a,b   Kozma, R ^a  

^a University of Memphis   (United States)

^b INSTITUTE OF MATHEMATICAL SCIENCES   (India)

Author keywords

Cognition; Cortical computation; Memory; Synaptic plasticity

Indexed keywords

COMPUTATION THEORY; MATHEMATICAL MODELS; MICROARRAYS;

COGNITION; CORTICAL COMPUTATION; SYNAPTIC PLASTICITY;

BRAIN;

EID: 35448952485     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ijcnn.2006.247197     Document Type: Conference Paper

References (17)

1. T. H. Bullock, “Integrative systems research on the brain: resurgence and new opportunities,” Annu. Rev. Neurosci., vol. 16, pp. 1–15, 1993.
2. W. A. Philips and W. Singer, “In search of common foundations for cortical computation,” Behavioral and Brain Sciences, vol. 20, pp. 657–722, 1997.
3. T. H. Bullock, “Reassessment of neural connectivity and its specification,” In Information Processing in Nervous System, H. Pinsker and W. Willis (eds.), Raven, New York, pp. 199–220, 1980.
4. A. K. Engel, P. Fries and W. Singer, “Dynamic predictions: oscillation and synchrony in top-down processing,” Nature Rev. Neurosci., vol. 2, pp. 704–716, 2001.
5. W. J. Freeman, How Brains Make up Their Minds, Columbia University Press, New York, 2000.
6. A. K. Engel and W. Singer, “Temporal binding and neural correlates of sensory awareness,” Trends Cog. Sc., vol. 5, pp. 16–25, 2001.
7. C. von der Malsburg and W. Schneider, “A neural cocktail-party processor,” Biol. Cybern., vol. 54, pp. 29–40, 1986.
8. A. Destexhe and E. Marder, “Plasticity in single neuron and circuit computations,” Nature, vol. 431, pp. 789–795, 2004.
9. D. B. Chklovskii, B. W. Mel and K. Svoboda, “Cortical rewiring and information storage,” Nature, vol. 431, pp. 782–788, 2004.
10. L. F. Abbott and W. G. Regehr, “Synaptic computation,” Nature, vol. 431, pp. 796–803, 2004.
11. W. Singer and C. M. Gray, “Visual feature integration and the temporal correlation hypothesis,” Annu. Rev. Neurosci., vol. 18, pp. 555–586, 1995.
12. R. Quian Quiroga, L. Reddy, G. Kreiman, C. Koch, I. Fried, “Invariant visual representation by single neurons in the human brain,” Nature, vol. 435, pp. 1102–1107, 2005.
13. W. Singer, “Neuronal synchrony: a versatile code for the definition of relations?” Neuron, vol. 24, pp. 49–65, 1999.
14. C. A. Skarda and W. J. Freeman, “How brains make chaos in order to make sense of the world,” Behavioral and Brain Sciences, vol. 10, pp. 161–195, 1987.
15. C. G. Bailey and E. R. Kandel, “Structural changes accompanying memory storage,” Annu. Rev. Physiol., vol. 55, pp. 397–426, 1993.
16. X. Chen, M. G. Garelick, H. Wang, V. Li, J. Athos and D. R. Storm, “PI3 kinase signaling is required for retrieval and extinction of contextual memory,” Nature Neurosci., vol. 8, pp. 925–931, 2005.
17. W. J. Freeman, “A field-theoretic approach to understanding scale-free neocortical dynamics,” Biol. Cybern., (to appear).