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Hi everyone This abstract (below) appeared on the Physics Archives, referring to a paper in the International Journal of Modern Physics. It's from a Russian group and reports on electrophysiological measurement from ventral tegmentum in rats. They claim mathematical analysis of the interspike frequencies match a model for quantum chaos, supporting a quantum nature (at least partially) of brain activity. I dont understand this mathematical argument, being more involved in intracellular activities. Perhaps someone might be able to elaborate, refute or comment. Happy Thanksgiving (to US listmembers anyway) best Stuart Hameroff Brain neurons as quantum computers: in vivo support of background physics A.Bershadskii, E. Dremencov, J. Bershadskii, G. Yadid Int. J. Mod. Phys., C, 14, #7, (2003) 1 The question: whether quantum coherent states can sustain decoherence, heating and dissipation over time scales comparable to the dynamical timescales of the brain neurons, is actively discussed in the last years. Positive answer on this question is crucial, in particular, for consideration of brain neurons as quantum computers. This discussion was mainly based on theoretical arguments. In present paper nonlinear statistical properties of the Ventral Tegmental Area (VTA) of genetically depressive limbic brain are studied in vivo on the Flinders Sensitive Line of rats (FSL). VTA plays a key role in generation of pleasure and in development of psychological drug addiction. We found that the FSL VTA (dopaminergic) neuron signals exhibit multifractal properties for interspike frequencies on the scales where healthy VTA dopaminergic neurons exhibit bursting activity. For high moments the observed multifractal (generalized dimensions) spectrum coincides with the generalized dimensions spectrum calculated for a spectral measure of a quantum system (so-called kicked Harper model, actively used as a model of quantum chaos). This observation can be considered as a first experimental in vivo indication in the favour of the quantum (at least partially) nature of the brain neurons activity.
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