Axon Guidance as a Random Walk, 2014 CSHL Meeting Poster

Name: Axon Guidance as a Random Walk, 2014 CSHL Meeting Poster
Creator: Aseei Al-Aamiri
Published: 2014-09-19T00:00:00+08:00

Figshare2016-01-19 更新2026-04-08 收录

轴突导向机制

神经发育建模

数据链接：

https://figshare.com/articles/dataset/Axon_Guidance_as_a_Random_Walk_2014_CSHL_Meeting_Poster/1168878/1 数据链接链接失效反馈

官方服务：

资源简介：

Poster presented at the 2014 CSHL meeting "Axon Guidance, Synapse Formation & Regeneration"

提供机构：

Aseei Al-Aamiri

创建时间：

2014-09-19

Growth Dynamics Explain the Development of Spatiotemporal Burst Activity of Young Cultured Neuronal Networks in Detail

网络仿真

神经发育建模

A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synchronized spiking, called bursting, starting about one week after plating, when the dissociated cells

Figshare2016-01-19 更新60

Neuronal (Bi)Polarity as a Self-Organized Process Enhanced by Growing Membrane

神经元极性自组织

神经发育建模

Early in vitro and recent in vivo studies demonstrated that neuronal polarization occurs by the sequential formation of two oppositely located neurites. This early bipolar phenotype is of crucial rele

NIAID Data Ecosystem50

EVA-1 Functions as an UNC-40 Co-receptor to Enhance Attraction to the MADD-4 Guidance Cue in Caenorhabditis elegans

轴突导向机制

细胞信号通路

We recently discovered a secreted and diffusible midline cue called MADD-4 (an ADAMTSL) that guides migrations along the dorsoventral axis of the nematode Caenorhabditis elegans. We showed that the tr

NIAID Data Ecosystem30

Expression data from embryonic mouse cervical spinal cords. Mus musculus

运动神经元发育

轴突导向机制

Mammalian motor circuits control voluntary movements by transmitting signals from the central nervous system (CNS) to muscle targets. To form these circuits, motor neurons (MNs) must extend their axon

NIAID Data Ecosystem50

Final Dataset for Neural Network Models included in Project RF-2016-02364081 Final Report. Short Title: "A generalized prediction framework of preterm birth"

风险预测

神经发育建模

Scaled input dataset for training the Long Short-Term Memory (LSTM) recurrent neural networks for prediction of gestational age at birth developed and included in the RF-2016-02364081 project titled "

NIAID Data Ecosystem40

Axon Guidance as a Random Walk, 2014 CSHL Meeting Poster

资源简介：

相关数据集