Neural interactions between flicker-induced self-organized visual hallucinations and physical stimuli

Spontaneous pattern formation in cortical activity may have consequences for perception, but little is known about interactions between sensory-driven and self-organized cortical activity. To address this deficit, we explored the relationship between ordinary stimulus-controlled pattern perception and the autonomous hallucinatory geometrical pattern formation that occurs for unstructured visual stimulation (e.g., empty-field flicker). We found that flicker-induced hallucinations are biased by the presentation of adjacent geometrical stimuli; geometrical forms that map to cortical area V1 as orthogonal gratings are perceptually opponent in biasing hallucinations. Rotating fan blades and pulsating circular patterns are the most salient biased hallucinations. Apparent motion and fractal (1/f) noise are also effective in driving hallucinatory pattern formation (the latter is consistent with predictions of spatiotemporal pattern formation driven by stochastic resonance). The behavior of these percepts suggests that self-organized hallucinatory pattern formation in human vision is governed by the same cortical properties of localized processing, lateral inhibition, simultaneous contrast, and nonlinear retinotopic mapping that govern ordinary vision.

[1]  G. Francis,et al.  The Time Course of Visual Afterimages: Data and Theory , 2006, Perception.

[2]  Erin Weston,et al.  Aftereffect of adaptation to Glass patterns , 2005, Vision Research.

[3]  Aaditya V. Rangan,et al.  Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[4]  F. Sengpiel Vision: In the Brain of the Beholder , 2004, Current Biology.

[5]  K. Linkenkaer-Hansen,et al.  Prestimulus Oscillations Enhance Psychophysical Performance in Humans , 2004, The Journal of Neuroscience.

[6]  M. Weliky,et al.  Small modulation of ongoing cortical dynamics by sensory input during natural vision , 2004, Nature.

[7]  Haim Sompolinsky,et al.  Patterns of Ongoing Activity and the Functional Architecture of the Primary Visual Cortex , 2004, Neuron.

[8]  L. M. Ward,et al.  Stochastic resonance and sensory information processing: a tutorial and review of application , 2004, Clinical Neurophysiology.

[9]  A. Grinvald,et al.  Spontaneously emerging cortical representations of visual attributes , 2003, Nature.

[10]  Dario L. Ringach,et al.  States of mind , 2003, Nature.

[11]  David Pinto,et al.  Mathematical neuroscience: from neurons to circuits to systems , 2003, Journal of Physiology-Paris.

[12]  Martin Golubitsky,et al.  What Geometric Visual Hallucinations Tell Us about the Visual Cortex , 2002, Neural Computation.

[13]  D W Cunningham,et al.  Perception of spatiotemporal random fractals: an extension of colorimetric methods to the study of dynamic texture. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  M. Golubitsky,et al.  Geometric visual hallucinations, Euclidean symmetry and the functional architecture of striate cortex. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[15]  A. Grinvald,et al.  Linking spontaneous activity of single cortical neurons and the underlying functional architecture. , 1999, Science.

[16]  P U Tse,et al.  Wakes and Spokes: New Motion-Induced Brightness Illusions , 1999, Perception.

[17]  P. Tass,et al.  Sscillatory Cortical Activity during Visual Hallucinations , 1997, Journal of biological physics.

[18]  A. Grinvald,et al.  Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.

[19]  D. Purves,et al.  The wagon wheel illusion in movies and reality. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[20]  S. A. Stwertka The stroboscopic patterns as dissipative structures , 1993, Neuroscience & Biobehavioral Reviews.

[21]  R. K. Siegel Fire in the Brain: Clinical Tales of Hallucination , 1993 .

[22]  Roger J. Watt,et al.  Pattern Recognition by Man and Machine , 1991 .

[23]  D. Rose,et al.  Models of the visual cortex , 1988 .

[24]  J. Cowan,et al.  A mathematical theory of visual hallucination patterns , 1979, Biological Cybernetics.

[25]  Christopher W. Tyler,et al.  Some new entoptic phenomena , 1978, Vision Research.

[26]  D. Mackay Moving Visual Images produced by Regular Stationary Patterns , 1958, Nature.

[27]  D. Mackay,et al.  Some Further Visual Phenomena associated with Regular Patterned Stimulation , 1957, Nature.

[28]  E. W. Baxter Lamprey Distribution in Streams and Rivers , 1957, Nature.

[29]  S. Silberstein,et al.  Migraine , 1934, The Lancet.

[30]  Viktor K. Jirsa,et al.  Connectivity and dynamics of neural information processing , 2007, Neuroinformatics.

[31]  F. Wilkinson Auras and other hallucinations: windows on the visual brain. , 2004, Progress in Brain Research.

[32]  Professor Dr. Dr. h.c. Hermann Haken,et al.  Synergetic Computers and Cognition , 1991, Springer Series in Synergetics.

[33]  William B. Levy,et al.  Synaptic modification, neuron selectivity, and nervous system organization , 1985 .