Synthetic_Hodgkin-Huxley1000.zip (116.36 MB)

Synthetic spike data generated by a network of 1,000 Hodgkin-Huxley type neurons

dataset

posted on 2019-08-19, 07:54 authored by Ryota KobayashiRyota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto

This is the dataset used for evaluating the performance of the methods for estimating synaptic connectivity from multiple spike trains (Kobayashi et al., 2018 BioRxiv). See README file about the data format and the paper about the simulation procedure.

Funding

JSPS KAKENHI Grant Number JP17H03279

JSPS KAKENHI Grant Number JP18K11560

JSPS KAKENHI Grant Number JP19H01133

JST ACT-I Grant Number JPMJPR16UC,

Okawa Foundation for Information and Telecommunications

Open Collaborative Research and MOU grant at the National Institute of Informatics in Japan

JSPS KAKENHI Grant Number JP16H04656

JSPS KAKENHI Grant Number JP17K19462

US NIMH Intramural Program with report number ZIAMH002619-27

JSPS KAKENHI Grant number JP26280007

JSPS KAKENHI Grant number JP17H06028

New Energy and Industrial Technology Development Organization (NEDO)

JST ACT-I Grant Number JPMJPR17U8

History

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Keywords

Parallel Spike Trains Synaptic connectivity estimation Cross-Correlation Generalized Linear model Network Reconstruction Neural circuits Neuroscience

Licence

CC BY 4.0