Coupled nonlinear maps as models of perceptual pattern and memory trace dynamics

[1]  G. Edelman Neural Darwinism: The Theory Of Neuronal Group Selection , 1989 .

[2]  Howard S. Hock,et al.  Spatial scale dependent in-phase and anti-phase directional biases in the perception of self-organized motion patterns , 1994, Vision Research.

[3]  Kaneko Chaotic but regular posi-nega switch among coded attractors by cluster-size variation. , 1989, Physical review letters.

[4]  E. Fetz,et al.  Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Robert L. Goldstone,et al.  Time Course of Comparison , 1994 .

[6]  M. Feigenbaum The universal metric properties of nonlinear transformations , 1979 .

[7]  Kunihiko Kaneko,et al.  Relevance of dynamic clustering to biological networks , 1993, chao-dyn/9311008.

[8]  Leslie G. Ungerleider,et al.  The role of prefrontal cortex in working memory: examining the contents of consciousness. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[9]  G Mulder,et al.  Psychophysiological evidence for continuous information transmission between visual search and response processes. , 1991, Journal of experimental psychology. Human perception and performance.

[10]  G. Westheimer,et al.  Spatial location and hyperacuity: flank position within the centre and surround zones. , 1985, Spatial vision.

[11]  M. Erdelyi,et al.  Has Ebbinghaus Decayed with Time? The Growth of Recall (Hypermnesia) over Days. , 1978 .

[12]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[13]  Ad Aertsen,et al.  Dynamics of functional coupling in the cerebral cortex , 1994 .

[14]  Ichiro Tsuda,et al.  Dynamic link of memory--Chaotic memory map in nonequilibrium neural networks , 1992, Neural Networks.

[15]  Yong Yao,et al.  Model of biological pattern recognition with spatially chaotic dynamics , 1990, Neural Networks.

[16]  W. Singer,et al.  Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties , 1989, Nature.

[17]  Hatsuo Hayashi,et al.  Chaotic nature of bursting discharges in the Onchidium pacemaker neuron , 1992 .

[18]  Reinhard Eckhorn,et al.  Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.

[19]  Robert A. M. Gregson,et al.  Nonlinear Psychophysical Dynamics , 1988 .

[20]  I. Biederman Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[21]  E. Miller,et al.  Prospective Coding for Objects in Primate Prefrontal Cortex , 1999, The Journal of Neuroscience.

[22]  A. Oosterlinck,et al.  Image enhancement and analysis with reaction-diffusion paradigm , 1990 .

[23]  Leslie G. Ungerleider,et al.  Distinguishing the Functional Roles of Multiple Regions in Distributed Neural Systems for Visual Working Memory , 2000, NeuroImage.

[24]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.

[25]  Massimo Riani,et al.  Effects of Visual Angle on Perspective Reversal for Ambiguous Patterns , 1982, Perception.

[26]  D. Amit The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.

[27]  W. Singer,et al.  Temporal coding in the visual cortex: new vistas on integration in the nervous system , 1992, Trends in Neurosciences.

[28]  Christopher M. Harris,et al.  The distribution of fixation durations in infants and naive adults , 1988, Vision Research.

[29]  Y. Miyashita,et al.  Top-down signal from prefrontal cortex in executive control of memory retrieval , 1999, Nature.

[30]  D. Gaffan,et al.  Recognition impaired and association intact in the memory of monkeys after transection of the fornix. , 1974, Journal of comparative and physiological psychology.

[31]  A. Damasio Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition , 1989, Cognition.

[32]  K. Kaneko Period-Doubling of Kink-Antikink Patterns, Quasiperiodicity in Antiferro-Like Structures and Spatial Intermittency in Coupled Logistic Lattice*) -- Towards a Prelude of a "Field Theory of Chaos"-- , 1984 .

[33]  B. A. Huberman,et al.  Generic behavior of coupled oscillators , 1984 .

[34]  C. Leeuwen,et al.  Stroop can occur without Garner interference: Strategic and mandatory influences in multidimensional stimuli , 1995, Perception & psychophysics.

[35]  J. Townsend,et al.  Decomposing the reaction time distribution: Pure insertion and selective influence revisited☆ , 1980 .

[36]  Donald O. Walter,et al.  Mass action in the nervous system , 1975 .

[37]  James T. Enns,et al.  2 The Nature of Selectivity in Early Human Vision , 1992 .

[38]  Raymond Kapral,et al.  Spatial and temporal structure in systems of coupled nonlinear oscillators , 1984 .

[39]  N. Geschwind Disconnexion syndromes in animals and man. I. , 1965, Brain : a journal of neurology.

[40]  Christine Deruelle,et al.  Positive and negative compatibility effects , 2000, Perception & psychophysics.

[41]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[42]  C. Van Leeuwen Visual perception at the edge of chaos , 1998 .

[43]  D. E. Irwin,et al.  Visual masking and visual integration across saccadic eye movements. , 1988 .

[44]  Daniel J. Amit,et al.  Attractor neural networks with biological probe records , 1990 .

[45]  Leslie G. Ungerleider,et al.  A neural system for human visual working memory. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[46]  I. Rock The Logic of Perception , 1983 .

[47]  M. Goodale,et al.  Separate visual pathways for perception and action , 1992, Trends in Neurosciences.

[48]  H. Hock,et al.  Bistability and hysteresis in the organization of apparent motion patterns , 1993 .

[49]  B. Murdock A Theory for the Storage and Retrieval of Item and Associative Information. , 1982 .

[50]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[51]  B. Underwood Interference and forgetting. , 1957, Psychological review.

[52]  E Başar,et al.  Multistable visual perception induces a slow positive EEG wave. , 1993, The International journal of neuroscience.

[53]  K. Kaneko Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements , 1990 .

[54]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[55]  C van Leeuwen,et al.  Sequence influence on the organization of meaningless serial stimuli: economy after all. , 1988, Journal of experimental psychology. Human perception and performance.

[56]  Pieter R. Roelfsema,et al.  Object-based attention in the primary visual cortex of the macaque monkey , 1998, Nature.

[57]  Stephen E. Palmer,et al.  Perception of partly occluded objects: A microgenetic analysis. , 1992 .

[58]  Walter J. Freeman,et al.  Deconstruction of neural data yields biologically implausible periodic oscillations , 1993, Behavioral and Brain Sciences.

[59]  Daniel Reisberg,et al.  Can mental images be ambiguous , 1985 .

[60]  W. Singer,et al.  The Role of Neuronal Synchronization in Response Selection: A Biologically Plausible Theory of Structured Representations in the Visual Cortex , 1996, Journal of Cognitive Neuroscience.

[61]  Edward K. Vogel,et al.  The capacity of visual working memory for features and conjunctions , 1997, Nature.

[62]  H. Eichenbaum,et al.  Two functional components of the hippocampal memory system , 1994, Behavioral and Brain Sciences.

[63]  Antonio R. Damasio,et al.  The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones , 1989, Neural Computation.

[64]  C. van Leeuwen,et al.  Visual search strategy and perceptual organization covary with individual preference and structural complexity. , 1997, Acta psychologica.

[65]  R. Eckhorn,et al.  High frequency (60-90 Hz) oscillations in primary visual cortex of awake monkey. , 1993, Neuroreport.

[66]  Ennio Mingolla,et al.  Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations , 1985 .

[67]  Hansel,et al.  Synchronization and computation in a chaotic neural network. , 1992, Physical review letters.

[68]  Daniel J. Amit,et al.  Modeling brain function: the world of attractor neural networks, 1st Edition , 1989 .

[69]  Christoph von der Malsburg,et al.  The Correlation Theory of Brain Function , 1994 .

[70]  Victor A. F. Lamme,et al.  Neuronal synchrony does not represent texture segregation , 1998, Nature.

[71]  S. Edelman,et al.  Computational Approaches to Shape Constancy , 1994 .

[72]  Douglas L. Hintzman,et al.  "Schema Abstraction" in a Multiple-Trace Memory Model , 1986 .

[73]  Josée Rivest,et al.  Localizing contours defined by more than one attribute , 1996, Vision Research.

[74]  S. Shipp,et al.  The functional logic of cortical connections , 1988, Nature.

[75]  Leslie G. Ungerleider,et al.  Object vision and spatial vision: two cortical pathways , 1983, Trends in Neurosciences.

[76]  Leslie G. Ungerleider,et al.  Mechanisms of visual attention in the human cortex. , 2000, Annual review of neuroscience.

[77]  E. Ahissar,et al.  Correlated Activity of Neurons: A Neural Code for Higher Brain Functions? , 1991 .

[78]  Hans-Georg Geissler,et al.  Modern issues in perception , 1983 .

[79]  H. Ruda,et al.  The warped geometry of visual space near a line assessed using a hyperacuity displacement task. , 1998, Spatial vision.

[80]  James J. Wright,et al.  Dynamics of the brain at global and microscopic scales: Neural networks and the EEG , 1996, Behavioral and Brain Sciences.

[81]  Ronald A. Finke,et al.  Creative Imagery: Discoveries and inventions in Visualization , 1990 .

[82]  F. Crick Function of the thalamic reticular complex: the searchlight hypothesis. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[83]  Robert L. Goldstone,et al.  The development of features in object concepts , 1998, Behavioral and Brain Sciences.

[84]  H. Fujisaka,et al.  Stability Theory of Synchronized Motion in Coupled-Oscillator Systems , 1983 .

[85]  Wright,et al.  Symmetric and nonsymmetric coupled logistic maps. , 1987, Physical review. A, General physics.

[86]  Professor Moshe Abeles,et al.  Local Cortical Circuits , 1982, Studies of Brain Function.

[87]  J. Rawlins,et al.  Associations across time: The hippocampus as a temporary memory store , 1985, Behavioral and Brain Sciences.

[88]  R. Hamel,et al.  Creative discovery in imagery and perception: combining is relatively easy, restructuring takes a sketch. , 1998, Acta psychologica.

[89]  S. Sternberg Memory-scanning: mental processes revealed by reaction-time experiments. , 1969, American scientist.

[90]  F. Varela Resonant cell assemblies: a new approach to cognitive functions and neuronal synchrony. , 1995, Biological research.

[91]  J. Elman Learning and development in neural networks: the importance of starting small , 1993, Cognition.

[92]  van Leeuwen C,et al.  Stability and Intermittency in Large-Scale Coupled Oscillator Models for Perceptual Segmentation , 1997, Journal of mathematical psychology.

[93]  Kunihiko Kaneko,et al.  Self-organized hierarchical structure in a plastic network of chaotic units , 2000, Neural Networks.

[94]  Jian-Min Yuan,et al.  Crises and Hysteresis in Coupled Logistic Maps , 1984 .

[95]  David Zipser,et al.  Feature Discovery by Competive Learning , 1986, Cogn. Sci..

[96]  Hans-Georg Geissler,et al.  The Inferential Basis of Classification: From Perceptual to Memory Code Systems , 1983 .

[97]  M. Humphreys,et al.  Toward a theory of human memory: Data structures and access processes , 1994, Behavioral and Brain Sciences.

[98]  F. Attneave Multistability in perception. , 1971, Scientific American.

[99]  D. Schacter,et al.  The cognitive neuroscience of constructive memory. , 1998, Annual review of psychology.

[100]  Leslie G. Ungerleider,et al.  Transient and sustained activity in a distributed neural system for human working memory , 1997, Nature.

[101]  G. Edelman,et al.  Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system. , 1992, Cerebral cortex.

[102]  Elissa L. Newport,et al.  Maturational Constraints on Language Learning , 1990, Cogn. Sci..

[103]  W. Singer,et al.  In search of common foundations for cortical computation , 1997, Behavioral and Brain Sciences.

[104]  A. Glenberg,et al.  What memory is for: Creating meaning in the service of action , 1997, Behavioral and Brain Sciences.

[105]  K. Kaneko Transition from Torus to Chaos Accompanied by Frequency Lockings with Symmetry Breaking : In Connection with the Coupled-Logistic Map , 1983 .

[106]  Norbert Wiener,et al.  Cybernetics. , 1948, Scientific American.

[107]  L S Liebovitch,et al.  A model of ion channel kinetics using deterministic chaotic rather than stochastic processes. , 1991, Journal of theoretical biology.

[108]  George Sperling,et al.  The information available in brief visual presentations. , 1960 .

[109]  R. Shiffrin,et al.  Search of associative memory. , 1981 .