Origins: Brain and Self Organization

By Karl Pribram | Go to book overview

References
[1] D. K. Pribram Berger, H. Wild, and C. Bridges "An analysis of neural spike-train distributions: determinants of the response of visual cortex neurons to changes in orientation and spatial frequency," Experimental Brain Research, 80 (1); pp. 129-134.
[2] D. Berger and K. Pribram "The relationship between the Gabor elementary function and stochastic model of the inter-spike interval distribution in the responses of visual cortex neuron," Biological Cybernetics 67; 1991-1994.
[3] D. Berger and K. Pribram "From Stochastic Resonance to Gabor Functions: An analysis of the probability function of interspike intervals recorded from visual cortical neurons," Rethinking Neural Networks: Quantum Fields and Biological Data, K. Pribram ed., Inns Press, Hillsdale, New Jersey, 1993
[4] A. R. Bulsara and A. J. Maren "Coupled Neural-Dendritic Processes: Cooperative Stochastic Effects and Analysis of Spike Trains," Rethinking Neural Networks: Quantum Fields and Biological Data, K. Pribram ed., Inns Press, Hillsdale, New Jersey, 1993
[5] T. S. Parker and L. O. Chua "Practical Numerical Algorithms for Chaotic System", Springer-Verlag, New York, 1989.
[6] G. E. P. Box, and G. M. Jenkins, "Time Series Analysis: Forecasting and Control", Holden-Day, San Francisco, 1976.
[7] M. J. D. Powell "Radial basis functions for multivariable interpolation: A review," in Algorithms for Approximation, J. C. Mason and M. G. Cox, eds. Oxford, pp. 143-167, 1987
[8] D. S. Broomhead, D. Lowe, "Multivariable function interpolation and adaptive networks," Complex System, Vol. 2, pp. 321-355, 1988.
[9] S. Chen, C. R. N. Cowan, P. M. Grant, "Orthogonal least square algorithm for radial basis function networks," IEEE tran. on Neural Networks, Vol. 2, No. 2, March, 1991.
[10] Frank C. Hoppensteadt "Analysis and Simulation of Chaotic System" in Applied Mathematical Sciences, F. John, J. E. Marsden, L. Sirovich ed. Volume 94, chapter 2, Springer-Verlag, New York, 1993.
[11] J. P. Burg, "Maximum Entropy Spectral Analysis, " Ph.D. dissertation, Stanford University, May 1975.

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