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Main Author: Chawla, Aman
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.16878995
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author Chawla, Aman
author_facet Chawla, Aman
contents <p>This paper presents an enhanced design and placement strategy for the Ephaptic Neuro Assistant (EPNA), a neuromodulation device targeting extracellular ephaptic coupling in axon tracts for memory modulation and neurological therapy. Building on a generalized mathematical framework, the EPNA introduces the Ephaptic Neuro Disruptor (END) a biocompatible conductor engineered to modulate pathological inter-axonal communication and influence memory-encoding neural traffic patterns. Placement optimization leverages information-theoretic principles, notably the Chief Executive Officer (CEO) problem dual, to maximize therapeutic efficacy across diverse neurological conditions. The system recognizes memory as patterns of network information flow that can be therapeutically modified through strategic ephaptic coupling modulation. However, geometric constraints derived from Bell's perturbative theorems impose fundamental limitations on device applicability, restricting effectiveness to neural tracts with axonal inclinations below approximately 30 degrees. Simulations across varied tract geometries and coupling matrices yield a Coupling Suppression Ratio exceeding 85\%, with a Selectivity Index above 90\%. The strategic placement algorithm incorporates mutual information metrics, entropy-based memory modeling, adaptive refinement, and node-versus-internode analysis to minimize tissue disruption while preserving or enhancing physiological signaling. This technology holds promise for treating multiple sclerosis, autism spectrum disorders, Alzheimer's disease, other memory disorders, and neuropathic pain, offering clinicians a principled, geometry-aware intervention platform. The EPNA's integration of signal processing, biophysics, memory theory, and clinical relevance represents a novel approach to precision neuromodulation.</p>
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spellingShingle Ephaptic Neuro-Modulation
Chawla, Aman
<p>This paper presents an enhanced design and placement strategy for the Ephaptic Neuro Assistant (EPNA), a neuromodulation device targeting extracellular ephaptic coupling in axon tracts for memory modulation and neurological therapy. Building on a generalized mathematical framework, the EPNA introduces the Ephaptic Neuro Disruptor (END) a biocompatible conductor engineered to modulate pathological inter-axonal communication and influence memory-encoding neural traffic patterns. Placement optimization leverages information-theoretic principles, notably the Chief Executive Officer (CEO) problem dual, to maximize therapeutic efficacy across diverse neurological conditions. The system recognizes memory as patterns of network information flow that can be therapeutically modified through strategic ephaptic coupling modulation. However, geometric constraints derived from Bell's perturbative theorems impose fundamental limitations on device applicability, restricting effectiveness to neural tracts with axonal inclinations below approximately 30 degrees. Simulations across varied tract geometries and coupling matrices yield a Coupling Suppression Ratio exceeding 85\%, with a Selectivity Index above 90\%. The strategic placement algorithm incorporates mutual information metrics, entropy-based memory modeling, adaptive refinement, and node-versus-internode analysis to minimize tissue disruption while preserving or enhancing physiological signaling. This technology holds promise for treating multiple sclerosis, autism spectrum disorders, Alzheimer's disease, other memory disorders, and neuropathic pain, offering clinicians a principled, geometry-aware intervention platform. The EPNA's integration of signal processing, biophysics, memory theory, and clinical relevance represents a novel approach to precision neuromodulation.</p>
title Ephaptic Neuro-Modulation
url https://doi.org/10.5281/zenodo.16878995