Quantum Neuroscience and Neural Signaling

Mathematical models in quantum information science enable the study of neural signaling. Approaches first interpret wavefunctions from imaging modalities such as EEG and fMRI scans. Methods then target neural field theories to model collective neuron behavior, and treat single-neuron models (Hodgkin-Huxley, integrate-and-fire, theta neurons). Advanced applications are in neuroscience physics, the interpretation of physics findings in the neuroscience context. Areas of study include AdS/Brain multiscalar modeling, Chern-Simons biology, neuronal gauge theories, network neuroscience, chaotic dynamics of bifurcation and bistability explaining epileptic and resting states, molecular knotting, and genome physics. These models are used to investigate neural signaling, a problem of integrating thousands of inputs and pursuing not only axonal and calcium spike-based signaling but also the dendritic spike train as it accelerates and tempers to signal the receiving neuron’s axon. The potential benefit of this work is an improved understanding of disease and pathology resolution in humans.