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pinn-neuronal-parameter-estimation

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Robust neuronal parameter estimation with PINNs.

Education & Research#state-reconstruction#parameter-estimation#pinn#neuron-model#morris-lecar#inverse-problem#physics-informed-neural-network
Authorhiyenwong
Version1.0.0
Installs0

System Documentation

What problem does it solve?

参数和状态无直接观测时，通过 Physics-Informed Neural Networks (PINN) 进行神经元模型的参数估计与状态重构。该方法对初始参数不敏感，依赖部分观测即可推断未观测变量和生物物理参数。

Core Features & Use Cases

  • 鲁棒性强: 对初始猜测不敏感，能在部分观测下工作。
  • 端到端学习: 同时估计参数与重构状态，适用于 Morris-Lecar 等快慢耦合模型、呼吸神经元等场景。
  • 适用范围广: 适用于多尺度神经元系统的参数估计、状态重构和逆向问题。

Quick Start

Estimate Morris-Lecar model parameters and reconstruct hidden neuronal states from partial voltage observations using PINNs.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: pinn-neuronal-parameter-estimation
Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#pinn-neuronal-parameter-estimation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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