Aihara K. (1990). Chaotic neural networks Bifurcation Phenomena In Nonlinear Systems And Theory Of Dynamical Systems.

Aihara K, Adachi M. (1997). Associative Dynamics in a Chaotic Neural Network. Neural networks : the official journal of the International Neural Network Society. 10 [PubMed]

Athitsos V, Sclaroff S. (2002). An appearance-based framework for 3D hand shape classification and camera viewpoint estimation IEEE Int Conf Autom Face Gesture Recog. 5

Atick JJ, Penev PS. (1996). Local feature analysis: A general statistical theory for object representation Network. 7

Biederman I. (1987). Recognition-by-components: a theory of human image understanding. Psychological review. 94 [PubMed]

Buskist W, Gerbing DW. (1990). Psychology: Boundaries and Frontiers.

Calitoiu D, Oommen BJ, Nussbaum D. (2005). Neural network-based chaotic pattern recognition. Part 1 : Stabilityand periodicity issues Proc PRIP Conf.

Calitoiu D, Oommen BJ, Nussbaum D. (2005). Neural network-based chaotic pattern recognition. Part 2: Stabilityand algorithmic issues Proc CORES Conf.

Calitoiu D, Oommen BJ, Nussbaum D. (2006). Periodicity and stability issues of a chaotic pattern recognition neural network Pattern Anal Appl J (to be published).

Collins JJ, De Luca CJ, Rosenstein MT. (1993). A practical method for calculating largest Lyapunov exponents from small data sets Physica D. 65

Duda RO, Hart PE, Stork DG. (2000). Pattern Classification (2nd edition).

Fausett L. (1994). Fundamentals of Neural Networks.

Forgus RH, Melamed LE. (1976). Perception: A Cognitive-Stage Approach (2nd Ed).

Freeman WJ. (1992). Tutorial in neurobiology: From single neurons to brain chaos Int J Bifurc Chaos. 2

Freeman WJ, Li G, Wang L, Li X, Lou Z. (2005). Lecture Notes in Computer Science Application Of Chaotic Neural Model Based On Olfactory System On Pattern Recognition.

Freeman WJ, Skarda CH. (1987). How brains make chaos in order to make sense of the world Behav Brain Sci. 10

Fukunaga K. (1990). Introduction to statistical pattern recognition (2nd ed).

Gelperin A. (2006). Olfactory computations and network oscillation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Kandel A, Friedman M. (1999). Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches.

Kohonen T. (1997). Self-organizing maps (2nd Edn).

Laurent G. (1996). Dynamical representation of odors by oscillating and evolving neural assemblies. Trends in neurosciences. 19 [PubMed]

Marr D. (2000). Minds, Brains and Computers: An Anthology.

Matlin MW. (1983). Perception.

Paulsen O, Sejnowski TJ. (2006). From invertebrate olfaction to human cognition: emerging computational functions of synchronized oscillatory activity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Piaget J. (1969). The Mechanism of Perception.

Ripley BD. (1996). Pattern recognition and neural networks.

Schurmann J. (1996). Pattern Classification, A Unified View of Statistical and Neural Approaches.

Shimizu T, Makishima M. (1998). Wandering motion and co-operative phenomena in a chaotic neural network Int J Bifurc Chaos. 8

Shuai JW, Chen ZX, Liu RT, Wu BX. (1997). Maximum hyperchaosin chaotic nonmonotonic neuronal networks Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top. 56

Sinha S. (1996). Controlled transition from chaos to periodic oscillations in a neural network model Physica A. 224

Sprott JC, Albers DJ, Dechert WD. (1998). Routes to chaos in neural networks with random weights Int J Bifurc Chaos. 8

Theodoridis S, Koutroumbas K. (1999). Pattern Recognition.

Wittgenstein L. (1999). Philosophical Investigations (3rd ed).