Chaotic itinerancy as a dynamical basis of hermeneutics in brain and mind

Tsuda, Ichiro

doi:10.1080/02604027.1991.9972257

Cited by 279 publications

(113 citation statements)

References 46 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…(I.Tsuda [16]- [18]). The dynamical orbits once approach one of "quasi-attractors" (or, "attractor ruins") and stay for sometime with a certain distribution, and escape there and approach to other ruins.…”

Section: Chaotic Itinerancy Among Quasi-attractors Which Transiently mentioning

confidence: 99%

Neocortical gap junction-coupled interneuron systems may induce chaotic behavior itinerant among quasi-attractors exhibiting transient synchrony

Fujii

Tsuda

2004

Neurocomputing

Self Cite

View full text Add to dashboard Cite

Recent discovery of the massive presence of gap junction couplings among neocortical FS (and LTS) interneurons poses serious questions about their collective dynamical behavior, and their possible cognitive roles. We present here the theoretical possibility that a class of neurons coupled by gap junctions may emerge spatio-temporal chaos itinerant among attractors in Milnor's sense, which in turn organizes synchronous cell groups transiently. Some physiological observations from the neocortex, e.g., local field potential (LFP) data exhibiting transient synchrony may provide evidence. We suggest also possible role in the so-called binding problem.

show abstract

Section: Chaotic Itinerancy Among Quasi-attractors Which Transiently mentioning

confidence: 99%

Neocortical gap junction-coupled interneuron systems may induce chaotic behavior itinerant among quasi-attractors exhibiting transient synchrony

Fujii

Tsuda

2004

Neurocomputing

Self Cite

View full text Add to dashboard Cite

show abstract

“…At a higher level, it could be responsible for the brain's capacity to generate novel activity patterns, corresponding to its internal self-generated ('creative') thought processes (Skarda and Freeman, 1987). Several other roles for chaos in neural systems have been suggested (see eg Tsuda, 1991;Babloyantz and Lourenco, 1996;Arbib et al, 1997).…”

Section: Discussionmentioning

confidence: 99%

Neural Stability and Flexibility: A Computational Approach

Liljenström¹

2003

Neuropsychopharmacol

View full text Add to dashboard Cite

This paper addresses the issue of stability and flexibility of neural systems, and how a balance can be achieved. Assuming a close correspondence with cognitive and mental processes, we use a cortical neural network model to investigate how regulation of the neurodynamics can result in an efficient information processing, in terms of learning and associative memory. In particular, we use this model to investigate relations between structure, dynamics, and function of a neural system, and how the stability-flexibility dilemma may be solved by proper regulation. We focus on the complex neurodynamics and its modulation, and how this is related to the neural circuitry, where synaptic modification and network pruning are considered. Finally, we discuss the relevance of these results to clinical and experimental neuroscience and speculate on a link between neural instability and mental disorders.

show abstract

“…The concept of the self-organizing brain, with its ever-shifting basins and attractors, its evolving trajectories (Tsuda, 1991), and its global cooperativity, enables us to model brain functions that transcend the present limitations of computational and representational schemata, and enter into those domains of nonrational and nonlogical construction from which consciousness emerges.…”

Section: The Neurobiology Of Intentionalitymentioning

confidence: 99%