Effects of local feedback on dispersion of electrical waves in the cerebral cortex

Rennie, Chris; Robinson, P. A.; Wright, J. J.

doi:10.1103/physreve.59.3320

Cited by 78 publications

(111 citation statements)

References 12 publications

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“…A second thrust of research activity proposes that GABA inhibitory activity is involved in the disinhibition of glutamate and the generation of gamma synchrony [20]. The third approach comes from numerical simulations of gamma by our group, which suggest that increased arousal may be associated with widespread synchronous gamma activity [21].…”

Section: Discussionmentioning

confidence: 99%

Synchronous cortical gamma-band activity in task-relevant cognition

et al. 2000

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Widespread synchronous oscillatory activity, particularly in the gamma (`40 Hz') band, has been postulated to exist in the brain as a mechanism underlying binding. A new method of examining phase synchronicity across multiple electrode sites in speci®c EEG frequency bands as a function of time was employed, in a conventional cognitive ERP paradigm in 40 normal subjects. A signi®cant late post-stimulus gamma synchronicity response occurred for task-relevant stimuli, whereas for task-irrelevant stimuli no such response was evident. However, an early response was seen for both task-relevant and irrelevant stimuli. This is the ®rst empirical demonstration that widespread synchronous high frequency oscillations occur in humans in relation to cognition.

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Section: Discussionmentioning

confidence: 99%

Synchronous cortical gamma-band activity in task-relevant cognition

et al. 2000

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“…Simple numerical simulations followed (Wright and Liley, 1996;Wright, 1997Wright, , 1999, leading to more advanced methods, including the development of wave equations (Robinson et al, 1997(Robinson et al, , 1998a(Robinson et al, , b, 2001. We have progressively introduced more refined physiological parameters, and descriptions of anatomical organization (Liley and Wright, 1994;Rennie et al, 1999Rennie et al, , 2000Rennie et al, , 2002, with the object of developing a single model to account for events in the brain at a number of different scales. Figure 1 highlights elementary features of gross brain organization.…”

Section: Introductionmentioning

confidence: 99%

Simulated Electrocortical Activity at Microscopic, Mesoscopic, and Global Scales

Wright

Rennie

Lees

et al. 2003

Neuropsychopharmacol

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Simulation of electrocortical activity requires (a) determination of the most crucial features to be modelled, (b) specification of state equations with parameters that can be determined against independent measurements, and (c) explanation of electrical events in the brain at several scales. We report our attempts to address these problems, and show that mutually consistent explanations, and simulation of experimental data can be achieved for cortical gamma activity, synchronous oscillation, and the main features of the EEG power spectrum including the cerebral rhythms and evoked potentials. These simulations include consideration of dendritic and synaptic dynamics, AMPA, NMDA, and GABA receptors, and intracortical and cortical/subcortical interactions. We speculate on the way in which Hebbian learning and intrinsic reinforcement processes might complement the brain dynamics thus explained, to produce elementary cognitive operations.

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“…(14) to the integral form as given by Rennie et al (1999). The inverse of the differential operator D ab of Eq.…”

Section: Derivation Of Ermentrout and Cowan's Model From The Robinsonmentioning

confidence: 99%

Spatiotemporal dynamics of pattern formation in the primary visual cortex and hallucinations

et al. 2009

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The existence of visual hallucinations with prominent temporal oscillations is well documented in conditions such as Charles Bonnett Syndrome. To explore these phenomena, a continuum model of cortical activity that includes additional physiological features of axonal propagation and synapto-dendritic time constants, is used to study the generation of hallucinations featuring both temporal and spatial oscillations. A detailed comparison of the physiological features of this model with those of two others used previously in the modeling of hallucinations is made, and differences, particularly regarding temporal dynamics, relevant to pattern formation are analyzed. Linear analysis and numerical calculation are then employed to examine the pattern forming behavior of this new model for two different forms of spatiotemporal coupling between neurons. Numerical calculations reveal an oscillating mode whose frequency depends on synaptic, dendritic, and axonal time constants not previously simultaneously included in such analyses. Its properties are qualitatively consistent with descriptions of a number of physiological disorders and conditions with temporal dynamics, but the analysis implies that corticothalamic effects will need to be incorporated to treat the consequences quantitatively.

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Effects of local feedback on dispersion of electrical waves in the cerebral cortex

Cited by 78 publications

References 12 publications

Synchronous cortical gamma-band activity in task-relevant cognition

Synchronous cortical gamma-band activity in task-relevant cognition

Simulated Electrocortical Activity at Microscopic, Mesoscopic, and Global Scales

Spatiotemporal dynamics of pattern formation in the primary visual cortex and hallucinations

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