10 th World Congress , Society for Brain Mapping and Spinal Cord Therapeutics

1. 10th World Congress , Society for Brain Mapping and Spinal Cord Therapeutics On emerging advances for neural information processing and space time physiologic Calculations, Cartik Sharma, STM Holography Abstract: We present a quantum theoretical framework to explain neural decision making from first principles. Neuronal firing and activation is studies in the context of real world settings in the normal activation, stimulus and response experimental setup. Aggregators for data patterns specific to a certain lobe are initiated to collect and observe neuronal responses. A series of microstates is identified with each neural activation and numerical estimates pertaining to these data patterns are calculated in space time coordinates. The physics of underlying computation involve measure of entropy of individual microstates, an underlying premise for measure of randomness. Entropy measurements over time directed towards reducing values will give predictors of arriving at a decision. Expectation of reward from a set of cues is directly proportional to bias from prior contexts and information content or entropy. { E(r) = bi x Φ , Expectation of reward proportional to ith bias at entropy phi specific to to contextual state} The formal assumption is to model information interpretation by estimates of entropy measures during the neural decision making task. We identify a mapping between original activation, episodic memory and relational response tied to specific reward centers. Entropy as a measure of information content in the conventional sense is applied to monotonic convergence towards specific decision making. This is motivated from the quantum principles of measurement, the observation of measurement and striking an implicit interconnectedness between simultaneous measurements explained with the mechanism of quantum entanglement (Bell et al). Predictable neuronal pathways are identified for solid decision making and critical reasoning. This allows for an elegant explanation of neuronal firing in the space time context. This is in agreement from findings of neuronal firing and avalanches (Plenz, et al). We further explore the governing equations for the quantum theoretic framework proposed to control such firing in the non traditional sense. The reduced form of cognitive measurements gives us a tangible predictor in the sense of cognitive reserve and directional neuronal output. We also measure the resultant energy spectrum at various stages of the decision making process to arrive at the most effective decision making route. Implied applications include restoration of neuronal pathways in the sense of a training task towards rehabilitation and recovery. These predicates will allow and explain for stimulated neuronal firing with improved gradient calculations for entropy measures and faster neuronal processing. This work involves modeling our neural correlates with sporadic variability to explain neuronal raison d' etre in higher order cognitive tasks. The ergodicity of measurement gives an ensemble average for neurons accurate to function and context. Keywords: Brain mapping/functional imaging for rehab medicine and PTSD (primary keyword)4D, Neuro-mathematics and bio-informaticsNeurophysiology (EEG, MEG)Neural Prosthesis & RoboticsRehabilitation Medicine (neural repair and regeneration)

2. On emerging advances for neural information processing and space time physiologic Calculations. Cartik Sharma STM HolographyNeural ensembles communicate via entanglement (gedanken) We propose a probabilistic qubit bases cognitive paradigm for significant clinical improvements. Improvements in neuronal flow allows for uninhibited response from stimuli based on action potentials. Entropy measurements and computation of ergodicity for collective neural observations. Theoretical state space optimums from convergent and directional information flow N tier computational ensemble model with quantum correlation base. Expectation of reward probabilities is superposition of possibility of occurrences for individual instances of neuron pairs. E(Φi Ω Φk) = p(phiA) ^ p(phiB) Superimposition of occurrence of states (or events, phiA and phiB) relevant to information flow for adjacent neural ensembles converges to finite limits. Bias Bi is augmented or improved non-locally or locally, we arrive at the expectation Of Rewards for pecific information flow with stronger convergence measures. “Sum of (non-local) correlation leads to Cognitive repair” Figure courtesy brainvisa Summary Establishing a priori bias in combination with qubit simulators for neural firing in presence of information flow gives an elegant expression of neural stimulation. The neural simulator provides a foundation for quantum stochastic basis of neural signal in presence of bias bi. (prior context) and noise elements lamda for mechanistic neural firing. The relationships derived provide a breakthrough in neural decision making based on stimulus response paradigms from a quantum mechanistic perspective We hope that support for building this neural paradigm flourishes based on scholastic advancements& funding in neural physics and computing. E (r|s) = Bi*Φij 1. Measurements of neural signals with entropy measurements accruing to decision making. 2. Directional connectivity of information carrying conductors. 3. Polarization of electrical connectivity for nerve fibers via information theoretic qubit measures towards probablistic decision making for specific contextual scenarios. Aggregation of quantum micro states for neural computing. Leading to A Neural simulation and cognitive rehabilitation model.