Download Brain Theory From A Circuits And Systems Perspective: How by John Robert Burger PDF

By John Robert Burger

This booklet versions an idealized neuron as being pushed via uncomplicated electric parts, the objective being to systematically symbolize the logical houses of neural pulses. as a way to represent a method, neurons as pulsating units can be represented utilizing novel circuit parts as delineated during this publication. A believable mind procedure is implied by way of the delineated parts and logically follows from recognized and certain houses of a neuron. New to electric technology are novel pulse-related circuit parts concerning recursive neurons. A recursive neuron, whilst accurately excited, produces a self-sustaining pulse teach that once sampled, offers a real output with a exact chance, and a fake output with complementary likelihood. as a result of its similarity to the qubits of quantum mechanics, the recursive pulsating neuron is called a simulated qubit. Recursive neurons simply functionality as managed toggle units and so are able to vastly parallel calculations, this being a brand new size in mind functioning as defined during this e-book. Simulated qubits and their probabilities are in comparison to the qubits of quantum physics. integrated within the publication are steered neural circuits for associative reminiscence seek through a randomized means of cue choice, and neural circuits for precedence calculations. those serve to pick returns from long-term reminiscence, which in flip determines one's subsequent awake suggestion or motion in line with prior memorized reports. The publication studies on proposals concerning electron tunneling among synapses, and quantum computations inside of neurons. even though no longer a textbook, there are effortless workouts on the ends of chapters, and within the appendix there are twelve simulation experiments touching on neurons. ​

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Additional resources for Brain Theory From A Circuits And Systems Perspective: How Electrical Science Explains Neuro-circuits, Neuro-systems, and Qubits

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Back Bay Books, Boston 8. Wegner DM (2002) The illusion of conscious will. Bradford Books, Cambridge, MA 9. Restak R (2006) The naked brain: how the emerging neurosociety is changing how we live, work, and love. Harmony Books, New York 10. Penrose R (1989) The emperor’s new mind: concerning computers, minds and the laws of physics. Oxford University Press, Oxford 11. Tarlaci S (2010) A historical view of the relation between quantum mechanics and the brain: a neuroquantologic perspective. NeuroQuantology 8:120–136 12.

Oxford University Press, Oxford 11. Tarlaci S (2010) A historical view of the relation between quantum mechanics and the brain: a neuroquantologic perspective. NeuroQuantology 8:120–136 12. Hameroff S, Penrose R (2003) Conscious events as orchestrated space-time selections. NeuroQuantology 1:10–35 13. Hameroff S (2007) Orchestrated reduction of quantum coherence in brain microtubules: a model for consciousness. NeuroQuantology 5:1–8 14. Walker EH (2000) The physics of consciousness: the quantum mind and the meaning of life.

Also available are delay and sundry other elements. Some of these are novel in traditional circuits and systems, which has always been aimed at solid-state circuitry, but these nine elements are essential when modeling pulsating neurons. The functions of these nine elements are demonstrated by a set of simulation experiments in the appendix. Classical elements are also useful, such as capacitance, resistance, independent voltage sources and current sources, and controlled sources controlled by circuit variables (voltages and currents).

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