Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Calitoiu D, Oommen BJ, Nussbaum D (2007) Desynchronizing a chaotic pattern recognition neural network to model inaccurate perception. IEEE Trans Syst Man Cybern B Cybern 37:692-704 [PubMed]

References and models cited by this paper

References and models that cite this paper

Aihara K (1990) Chaotic neural networks Bifurcation Phenomena In Nonlinear Systems And Theory Of Dynamical Systems, Kawakami H, ed. pp.143
Aihara K, Adachi M (1997) Associative Dynamics in a Chaotic Neural Network. Neural Netw 10:83-98 [PubMed]
Albers DJ, Sprott JC, Dechert WD (1998) Routes to chaos in neural networks with random weights Int J Bifurc Chaos 8:1463-1478
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 5:45-50
Biederman I (1987) Recognition-by-components: a theory of human image understanding. Psychol Rev 94:115-147 [Journal] [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 :2528-259
Calitoiu D, Oommen BJ, Nussbaum D (2005) Neural network-based chaotic pattern recognition. Part 2: Stabilityand algorithmic issues Proc CORES Conf :3-16
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)
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 2:451-482
Friedman M, Kandel A (1999) Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches
Fukunaga K (1990) Introduction to statistical pattern recognition (2nd ed)
Gelperin A (2006) Olfactory computations and network oscillation. J Neurosci 26:1663-8 [Journal] [PubMed]
Kohonen T (1997) Self-organizing maps (2nd Edn)
Laurent G (1996) Dynamical representation of odors by oscillating and evolving neural assemblies. Trends Neurosci 19:489-96 [Journal] [PubMed]
Li G, Lou Z, Wang L, Li X, Freeman WJ (2005) Lecture Notes in Computer Science Application Of Chaotic Neural Model Based On Olfactory System On Pattern Recognition :378-381
Makishima M, Shimizu T (1998) Wandering motion and co-operative phenomena in a chaotic neural network Int J Bifurc Chaos 8:891-898
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. J Neurosci 26:1661-2 [Journal] [PubMed]
Penev PS, Atick JJ (1996) Local feature analysis: A general statistical theory for object representation Network 7:477-500
Piaget J (1969) The Mechanism of Perception
Ripley BD (1996) Pattern recognition and neural networks
Rosenstein MT, Collins JJ, De_Luca CJ (1993) A practical method for calculating largest Lyapunov exponents from small data sets Physica D 65:117-134
Schurmann J (1996) Pattern Classification, A Unified View of Statistical and Neural Approaches
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 56:890-893
Sinha S (1996) Controlled transition from chaos to periodic oscillations in a neural network model Physica A 224:433-446
Skarda CH, Freeman WJ (1987) How brains make chaos in order to make sense of the world Behav Brain Sci 10:161-195
Wittgenstein L (1999) Philosophical Investigations (3rd ed)
(33 refs)