Computing by physical interaction in neurons

Aur, Dorian; Jog, Mandar; Poznański, Roman R.

doi:10.1142/s0219635211002865

Cited by 19 publications

(8 citation statements)

References 31 publications

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“…Electrotonic signals without recovery are suitable in transmitting information through physical interaction of electrical charges held by microstructure and not synaptic inputs 46 . The stable non-decremented electrotonic signals originating in branchlets could play a functional role in heterosynaptic plasticity.…”

Section: Discussionmentioning

confidence: 99%

Solitonic conduction of electrotonic signals in neuronal branchlets with polarized microstructure

Poznański

Cacha

Alwesabi

et al. 2017

Sci Rep

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A model of solitonic conduction in neuronal branchlets with microstructure is presented. The application of cable theory to neurons with microstructure results in a nonlinear cable equation that is solved using a direct method to obtain analytical approximations of traveling wave solutions. It is shown that a linear superposition of two oppositely directed traveling waves demonstrate solitonic interaction: colliding waves can penetrate through each other, and continue fully intact as the exact pulses that entered the collision. These findings indicate that microstructure when polarized can sustain solitary waves that propagate at a constant velocity without attenuation or distortion in the absence of synaptic transmission. Solitonic conduction in a neuronal branchlet arising from polarizability of its microstructure is a novel signaling mode of electrotonic signals in thin processes (<0.5 μm diameter).

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Section: Discussionmentioning

confidence: 99%

Solitonic conduction of electrotonic signals in neuronal branchlets with polarized microstructure

Poznański

Cacha

Alwesabi

et al. 2017

Sci Rep

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“…Meaningful changes in electrical patterns reveal that information regarding presented objects is processed within cells and electrically integrated in the brain. This outcome highlights a neuroelectrodynamic model of computation by interaction which brings back the strength of physical laws to explain the complexity of information processing in the brain (Aur, 2011; Aur and Jog, 2010; Aur et al, 2011). In addition the interaction between neurons including connectivity seems to be influenced by intracellular processes which can spatially modulate the propagation of APs.…”

Section: Discussionmentioning

confidence: 84%

“…This fundamental approach in perceiving information in electrical patterns within spikes connects changes in electrical patterns with molecular machinery (Wang et al, 1998; LaFerla, 2002; Woolf et al, 2009; Guan et al, 2009; Aur, 2011; Aur et al, 2011) and complex electrochemical processes that spatially modulate AP propagation (Sasaki et al, 2011). If only few neurons are analyzed (e.g.…”

Section: Discussionmentioning

confidence: 99%

A comparative analysis of integrating visual information in local neuronal ensembles

Aur

2012

Journal of Neuroscience Methods

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Spike directivity, a new measure that quantifies the transient charge density dynamics within action potentials provides better results in discriminating different categories of visual object recognition. Specifically, intracranial recordings from medial temporal lobe (MTL) of epileptic patients have been analyzed using firing rate, interspike intervals and spike directivity. A comparative statistical analysis of the same spikes from a local ensemble of four selected neurons shows that electrical patterns in these neurons display higher separability to input images compared to spike timing features. If the observation vector includes data from all four neurons then the comparative analysis shows a highly significant separation between categories for spike directivity (p = 0.0023) and does not display separability for interspike interval (p = 0.3768) and firing rate (p = 0.5492). Since electrical patterns in neuronal spikes provide information regarding different presented objects this result shows that related information is intracellularly processed in neurons and carried out within a millisecond-level time domain of action potential occurrence. This significant statistical outcome obtained from a local ensemble of four neurons suggests that meaningful information can be electrically inferred at the network level to generate a better discrimination of presented images.

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“…During ontogenesis there are complex interactions brought into existence due to ionic concentration di®erences between di®erent sites of the cytoplasm that harbor endogenous electromagnetic energy¯elds involving ionic interactions in macromolecules that can store and transfer information. Physical interactions within neurons at the molecular level bring on the integration process (Aur & Jog, 2010;Aur et al, 2011). This is how causation in the brain allows for physical concepts like cognitive semantics to emerge.…”

Section: Dynamicsmentioning

confidence: 99%

Genomic instantiation of consciousness in neurons through a biophoton field theory

Cacha

Poznański

2014

J. Integr. Neurosci.

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A theoretical framework is developed based on the premise that brains evolved into su±ciently complex adaptive systems capable of instantiating genomic consciousness through self-awareness and complex interactions that recognize qualitatively the controlling factors of biological processes. Furthermore, our hypothesis assumes that the collective interactions in neurons yield macroergic e®ects, which can produce su±ciently strong electric energy¯elds for electronic excitations to take place on the surface of endogenous structures via alpha-helical integral proteins as electro-solitons. Speci¯cally the process of radiative relaxation of the electro-solitons allows for the transfer of energy via interactions with deoxyribonucleic acid (DNA) molecules to induce conformational changes in DNA molecules producing an ultra weak non-thermal spontaneous emission of coherent biophotons through a quantum e®ect. The instantiation of coherent biophotons con¯ned in spaces of DNA molecules guides the biophoton¯eld to be instantaneously conducted along the axonal and neuronal arbors and in-between neurons and throughout the cerebral cortex (cortico-thalamic system) and subcortical areas (e.g., midbrain and hindbrain). Thus providing an informational character of the electric coherence of the brain À À À referred to as quantum coherence. The biophoton¯eld is realized as a conscious¯eld upon the re-absorption of biophotons by exciplex states of DNA molecules. Such quantum phenomenon brings about self-awareness and enables objectivity to have access to subjectivity in the unconscious. As such, subjective experiences can be recalled to consciousness as subjective conscious experiences or qualia through co-operative interactions between exciplex states of DNA molecules and biophotons leading to metabolic activity and energy transfer across proteins as a result of protein-ligand binding during protein-protein communication. The biophoton¯eld as a conscious¯eld is attributable to the resultant e®ect of specifying qualia from the metabolic energy¯eld that is transported in macromolecular proteins throughout speci¯c networks of neurons that are constantly transforming into more stable associable representations as molecular solitons. The metastability of subjective experiences based on resonant dynamics occurs when bottom-up patterns of neocortical excitatory activity are matched with top-down expectations as adaptive dynamic pressures. These dynamics of on-going activity patterns in°uenced by the environment and selected as the preferred subjective experience in *Corresponding author.Journal of Integrative Neuroscience, Vol. 13, No. 2 (2014) terms of a functional¯eld through functional interactions and biological laws are realized as subjectivity and actualized through functional integration as qualia. It is concluded that interactionism and not information processing is the key in understanding how consciousness bridges the explanatory gap between subjective experiences and their neural correlates in the transcendental brain.

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Computing by physical interaction in neurons

Cited by 19 publications

References 31 publications

Solitonic conduction of electrotonic signals in neuronal branchlets with polarized microstructure

Solitonic conduction of electrotonic signals in neuronal branchlets with polarized microstructure

A comparative analysis of integrating visual information in local neuronal ensembles

Genomic instantiation of consciousness in neurons through a biophoton field theory

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