Constraint regime parameters.

NIAID Data Ecosystem2026-05-01 收录

神经动力学建模

约束优化参数

数据链接：

https://figshare.com/articles/dataset/Constraint_regime_parameters_/25695901 数据链接链接失效反馈

官方服务：

资源简介：

h0, input gain; g0, recurrent gain; α, weight regularization; β, metabolic regularization.

创建时间：

2024-04-25

Organization of Excitable Dynamics in Hierarchical Biological Networks

神经动力学建模

生物网络拓扑分析

This study investigates the contributions of network topology features to the dynamic behavior of hierarchically organized excitable networks. Representatives of different types of hierarchical networ

NIAID Data Ecosystem90

Table of model parameter values.

神经动力学建模

模型参数拟合

Parameters τS, a, b, d, I0, μ0, JA,ext were directly adapted from [30]. Parameters τh, tmc, Jmc0, JN, ij, Hth were directly adapted from [28], and parameters JVHU, JN, LR, JN, RL, GS, Sth, JN, ii were

Figshare2020-02-03 更新40

Residual dynamics resolves recurrent contributions to neural computation

神经动力学建模

计算神经科学

This repository contains all the neural and simulated datasets used in the above publication. All the data are stored as .mat files. This repository is organized into three main folders. For ease of

NIAID Data Ecosystem30

Text S1 - A Neurodynamic Account of Spontaneous Behaviour

神经动力学建模

自发行为分析

Supporting online material for “A Neurodynamic Account of Spontaneous Behaviour.” This file describes two types of additional experiment, namely “Reconstruction of probability” and “Dependency on trai

NIAID Data Ecosystem60

Parameter values for best fit of simulated anesthesia and cholinergic reversal.

麻醉机制模拟

神经动力学建模

Parameters from lowest cost fit (cost averaged across anesthetic levels) used to simulate anesthetic effects and cholinergic reversal. A/B-Series describe optimal values of best fit determined by the

NIAID Data Ecosystem40

Constraint regime parameters.

资源简介：

相关数据集