neuro-vesicles-neuromodulation

name

neuro-vesicles-neuromodulation

description

Neuro-Vesicles framework for dynamical neuromodulation in neural networks. Introduces mobile discrete vesicle population as event-based interaction layer alongside network tensors. Applies to: neuromodulation, dynamic network modulation, spiking networks, neuromorphic hardware. Activation: neuro vesicles, neuromodulation dynamical, mobile modulation, vesicle framework, programmable neuromodulation.

Neuro-Vesicles Framework

A dynamical neuromodulation framework using mobile discrete vesicles as an event-based interaction layer, replacing tensor-based conditioning with stochastic population dynamics.

Metadata

• Source: arXiv:2512.06966
• Authors: Zilin Li, Weiwei Xu, Vicki Kane
• Published: 2025-12-07

Core Methodology

Key Innovation

Replaces static tensor-based modulation (FiLM, hypernetworks, attention) with a dynamical population of mobile vesicles that emit, migrate, dock, and release content to locally modify network behavior.

Vesicle Model

Each vesicle is a self-contained object:

v = (c, κ, l, τ, s)

• c: Vector payload (content)
• κ: Type label
• l: Location on graph G = (V, E)
• τ: Remaining lifetime
• s: Optional internal state

Lifecycle Operations

1. Emission: Triggered by activity, errors, or meta-signals
2. Migration: Move along learned transition kernels on the graph
3. Docking: Probabilistic attachment at target nodes
4. Release: Content-dependent modification of activations, parameters, or learning rules