A phase transition in human brain and behavior

Kelso, J. A. Scott; Bressler, Steven L.; Buchanan, S.; DeGuzman, G. C.; Ding, Mingzhou; Fuchs, Armin; Holroyd, Tom

doi:10.1016/0375-9601(92)90583-8

Cited by 215 publications

(120 citation statements)

References 21 publications

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“…Its brief application to isofrequency movements revealed that the relative phase between the two hemispheres obeys a well-established model that accounts for various stability properties of bimanual coordination. In this regard, the proposed model is not only consistent with previous studies on rhythmic coordination in unskilled subjects (e.g., Kelso et al 1992;Wallenstein et al 1995;Mayville et al 2001) but also positions these studies in a broader theoretical framework, even though, as it stands, its explicit empirical test is limited to data from a single subject. 5 In contrast to those previous, more phenomenological studies, the model directly accounts for the existence of preferences for in-and antiphase coordination modes, which can be associated with the dominance of either interhemispheric excitation or intrahemispheric inhibition.…”

Section: Discussionsupporting

confidence: 84%

“…Based on previous investigations of patterns of brain activity during the performance of unimanual and bimanual isofrequency tasks (Kelso et al 1992;Wallenstein et al 1995;Mayville et al 2001) and corresponding modeling work (e.g., Frank et al 2000;Jirsa et al 2002), it may be expected that the spatiotemporal brain activity patterns during multifrequency tasks can be described in terms of a few dynamical processes and their couplings. These couplings, which are brought about via inhibitory and excitatory inter-and intrahemispheric connections, are of essential importance because they may invoke entrained (i.e., coherent) activity distributions, both within and across hemispheres, as well as spontaneous transitions between such distributions.…”

Section: Introductionmentioning

confidence: 99%

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Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

2005

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Abstract. Based on recent brain-imaging data and congruent theoretical insights, a dynamical model is derived to account for the patterns of brain activity observed during stable performance of bimanual multifrequency patterns, as well as during behavioral instabilities in the form of phase transitions between such patterns. The model incorporates four dynamical processes, defined over both motor and premotor cortices, which are coupled through inhibitory and excitatory inter-and intrahemispheric connections. In particular, the model underscores the crucial role of interhemispheric inhibition in reducing the interference between disparate frequencies during stable performance, as well as the failure of this reduction during behavioral transitions. As an aside, the model also accounts for in-and antiphase preferences during isofrequency movements. The viability of the proposed model is illustrated by magnetoencephalographic signals that were recorded from an experienced subject performing a polyrhythmic tapping task that was designed to induce transitions between multifrequency patterns. Consistent with the model's dynamics, contra-and ipsilateral cortical areas of activation were frequency-and phase-locked, while their activation strength changed markedly in the vicinity of transitions in coordination.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

2005

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“…Considerable experimental evidence demonstrates that switching in both mind phenomenal and brain spatial-temporal patterns is a self-organized process that takes the form of an abrupt nonequilibrium transition [43,50,93,289,290,417,444,446,450,453,[511][512][513][514]. This mechanism has been proposed to work in spontaneous thinking or "mind wondering", when there is narrative of thoughts and images, which persists without disruption.…”

Section: The Succession Of Oms and The Stream Of Consciousnessmentioning

confidence: 99%

Natural world physical, brain operational, and mind phenomenal space–time

Fingelkurts

Neves

2010

Physics of Life Reviews

168

233

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Concepts of space and time are widely developed in physics. However, there is a considerable lack of biologically plausible theoretical frameworks that can demonstrate how space and time dimensions are implemented in the activity of the most complex life-system -the brain with a mind. Brain activity is organized both temporally and spatially, thus representing space-time in the brain. Critical analysis of recent research on the space-time organization of the brain's activity pointed to the existence of so-called operational space-time in the brain. This space-time is limited to the execution of brain operations of differing complexity. During each such brain operation a particular short-term spatio-temporal pattern of integrated activity of different brain areas emerges within related operational space-time. At the same time, to have a fully functional human brain one needs to have a subjective mental experience. Current research on the subjective mental experience offers detailed analysis of space-time organization of the mind. According to this research, subjective mental experience (subjective virtual world) has definitive spatial and temporal properties similar to many physical phenomena. Based on systematic review of the propositions and tenets of brain and mind space-time descriptions, our aim in this review essay is to explore the relations between the two. To be precise, we would like to discuss the hypothesis that via the brain operational space-time the mind subjective space-time is connected to otherwise distant physical space-time reality.Key words: spatial, temporal, consciousness, cognition, operation, architectonics, EEG, field, metastability, physics, coordinative dynamics, self-organization, cortex.

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“…It is motivated by the successful use of field equations Haken 1996, 1997) for deriving a correspondence to the phenomenological-order parameter equation employed for modeling a movement control experiment (periodic finger response to acoustic stimuli) of Kelso et al (1992). The present simplification is based on the hypothesis that the relative phase of superimposed electric fields of sufficient degree of coherence captures the relevant dynamics of perception-state-order parameter(s).…”

Section: The Phase Oscillator Modelmentioning

confidence: 99%

A nonlinear dynamics model for simulating long range correlations of cognitive bistability

Fürstenau

2010

Biol Cybern

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Simulation results of bistable perception due to ambiguous visual stimuli are presented which are obtained with a behavioral nonlinear dynamics model using perception-attention-memory coupling. This model provides an explanation of recent experimental results of Gao et al. (Cogn Process 7:105-112, 2006a) and it supports their speculation that the fractal character of perceptual dominance time series may be understood in terms of nonlinear and reentrant dynamics of brain processing. Percept reversals are induced by attention fatigue and noise, with an attention bias which balances the relative percept duration. Dynamical coupling of the attention bias to the perception state introduces memory effects leading to significant long range correlations of perceptual duration times as quantified by the Hurst parameter H > 0.5 (Mandelbrot, The fractal geometry of nature, 1991), in agreement with Gao et al. (Cogn Process 7:105-112, 2006a).

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A phase transition in human brain and behavior

Cited by 215 publications

References 21 publications

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

Natural world physical, brain operational, and mind phenomenal space–time

A nonlinear dynamics model for simulating long range correlations of cognitive bistability

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