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Meta Data for "Where is the error? Hierarchical predictive coding through dendritic error computation"

GRO.data2025-01-01 更新2026-04-17 收录

层级预测编码

神经元模型

数据链接：

https://data.goettingen-research-online.de/citation?persistentId=doi:10.25625/GBIO4O 数据链接链接失效反馈

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资源简介：

Meta Data for the review article by Mikulasch et al.

应用场景：

创建时间：

2025-01-01

神经元模型

神经科学

AbstractIntroduction: Since it was introduced in 2012, the Neuroid has been used to aid in understanding how functionally different neural populations contribute to sensory information processing. How

DataCite Commons2020-08-31 更新130

Data from: A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans

随机搜索行为

神经元模型

Random search is a behavioral strategy used by organisms from bacteria to humans to locate food that is randomly distributed and undetectable at a distance. We investigated this behavior in the nemato

DataONE2016-02-03 更新60

Optimization of the neurons.

神经元模型

计算神经科学

In the table, we list the information relative to the optimization procedure for each modelled neuron. The second column reports the optimization algorithm, while in the third, fourth, and fifth colum

NIAID Data Ecosystem20

7D Neuron use_traubexact = 1

计算神经科学

神经元模型

Traying to reproduce fig 7D from "A single column thalamocortical network model" (Traub et al 2005) on Neuron version of Traub model.Files: fig.png - rasterplot, out.dat - data for rasterplot, test

NIAID Data Ecosystem60

Summary of network models.

计算神经科学

神经元模型

Abbreviations: 2D, 2 dimensional; HH, Hodgkin-Huxley; LIF, leaky integrate-and-fire; FR, firing rate; Multi-Compt E, multiple compartment excitatory neuron.

NIAID Data Ecosystem40

Meta Data for "Where is the error? Hierarchical predictive coding through dendritic error computation"

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