Effects of non-synaptic neuronal interaction in cortex on synchronization and learning

Aronsson, Per; Liljenström, Hans

doi:10.1016/s0303-2647(01)00146-0

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…In order to measure the degree of synchronization among the network nodes belonging to a cell assembly, the correlation coefficient between the activities of the nodes in one pattern is computed and compared with the correlation between the member and non-member nodes of the pattern (Aronsson P. & Liljenström, H. 2001). The oscillatory phase in the cell assemblies was computed with the help of a Hilbert transform.…”

Section: Synchronizationmentioning

confidence: 99%

A cortical network model of cognitive and emotional influences in human decision making

Nazir

Liljenström

2015

Biosystems

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Section: Synchronizationmentioning

confidence: 99%

A cortical network model of cognitive and emotional influences in human decision making

Nazir

Liljenström

2015

Biosystems

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“…The olfactory nervous system is relatively simple and well-known functionally and morphologically, and is an interesting system for understanding the cognitive processes performed in the brain. Even when some brain processes remains unclear, many aspects of olfaction, such as the mechanisms of reception and central processing or the nature of the stimuli have been fairly extensively studied [3,4].…”

Section: Introductionmentioning

confidence: 99%

Improving Dysarthria Classification by Pattern Recognition Techniques Based on a Bionic Model

González-Moreira

Torres

Ferrer

et al. 2013

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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The goal of this research is to use a bionic model to enhance classification of Dysarthria. The model based on the main features of the mammalian olfactory system is the initial stage of the recognition process. The bionic model aimed to achieve an enhancement in the separation ability of the dysarthric features. The recognition performance obtained by four different pattern recognition algorithms using the bionic model to improve the features is shown and discussed. The results indicated that bionic model had clear influence on classification performance of well-known techniques using dysarthria database as case study. We regard the results of this study as a promising initial step to the use of bionic model as a recognition improvement function.

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“…G. HALES EM¯eld e®ects have been routinely reported all along, leading some researchers to expect the \closed loop" behavior of Fig. 1(b) (Anastassiou et al, 2010;Aronsson & Liljenstrom, 2001;Bikson et al, 2004;Bishop & Oleary, 1950;Faber & Korn, 1989;Francis et al, 2003;Je®erys, 1981Je®erys, , 1995Je®erys & Haas, 1982;McIntyre & Grill, 1999;Noebels & Prince, 1978;Parra & Bikson, 2004;Rall & Shepherd, 1968;Reato et al, 2010;Taylor & Dudek, 1982;Terzuolo & Bullock, 1956). The cultural partitioning of views, along open/closed loop EM¯eld lines, was su±ciently unsettling that it once lead to a call for resolution (Bullock, 1997).…”

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confidence: 99%

The origins of the brain's endogenous electromagnetic field and its relationship to provision of consciousness

Hales¹

2014

J. Integr. Neurosci.

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As a potential source of consciousness, the brain's endogenous electromagnetic (EM) field has much to commend it. Difficulties connecting EM phenomena and consciousness have been exacerbated by the lack of a specific conclusive biophysically realistic mechanism originating the EM field, its form and dynamics. This work explores a potential mechanism: the spatial and temporal coherent action of transmembrane ion channel currents which simultaneously produce electric and magnetic fields that dominate all other field sources. Ion channels, as tiny current filaments, express, at a distance, the electric and magnetic fields akin to those of a short (transmembrane) copper wire. Following assembly of appropriate formalisms from EM field theory, the paper computationally explores the scalar electric potential produced by the current filaments responsible for an action potential (AP) in a realistic hippocampus CA1 pyramidal neuron. It reveals that AP signaling can impress a highly structured, focused and directed "sweeping-lighthouse beam" that "illuminates" neighbors at mm scales. Ion channel currents thereby provide a possible explanation for both EEG/MEG origins and recently confirmed functional EM coupling effects. Finally, a physically plausible EM field decomposition is posited. It reveals objective and subjective perspectives intrinsic to the membrane-centric field dynamics. Perceptual "fields" can be seen to operate as the collective action of virtual EM-boson composites (called qualeons) visible only by "being" the fields, yet objectively appear as the familiar EM field activity. This explains the problematic evidence presentation and offers a physically plausible route to a solution to the "hard problem".

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Effects of non-synaptic neuronal interaction in cortex on synchronization and learning

Cited by 9 publications

References 18 publications

A cortical network model of cognitive and emotional influences in human decision making

A cortical network model of cognitive and emotional influences in human decision making

Improving Dysarthria Classification by Pattern Recognition Techniques Based on a Bionic Model

The origins of the brain's endogenous electromagnetic field and its relationship to provision of consciousness

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