PING_HH_increasing_drive

Dryad2015-01-01 更新2026-04-13 收录

计算神经科学

γ振荡模拟

数据链接：

http://datadryad.org/resource/doi:10.5061/dryad.p631f/2 数据链接链接失效反馈

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资源简介：

Simulaiton of a Hodgkin-Huxley pramidal-interneuron gamma (PING) network with different input drive conditions (corresponds to Figure 1).

创建时间：

2015-01-01

FAIRsharing record for: PyNN

计算神经科学

神经网络建模

This FAIRsharing record describes: The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowin

DataCite Commons2024-12-05 更新60

Table of model parameter values.

计算神经科学

生物物理模型参数校准

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

NIAID Data Ecosystem50

Data and Code for Williams et al., Current Biology, 2021

计算神经科学

数据分析

Code to generate figures and statistics in Williams et al., "Spatial modulation of dark and bright stimulus responses in the mouse visual system," Current Biology , 2021. Code is associated

DataCite Commons2022-01-26 更新50

Light response kinetics of goldfish cones, cHCs and rHCs under dark-adapted conditions in the day and night.

计算神经科学

光响应动力学

Light response kinetics of goldfish cones, cHCs and rHCs under dark-adapted conditions in the day and night.

NIAID Data Ecosystem60

Efficient “Communication through Coherence” Requires Oscillations Structured to Minimize Interference between Signals

神经振荡编码

计算神经科学

The ‘communication through coherence’ (CTC) hypothesis proposes that selective communication among neural networks is achieved by coherence between firing rate oscillation in a sending region and gain

NIAID Data Ecosystem50

PING_HH_increasing_drive

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