Single cortical neurons as deep artificial neural networks

Published: 2 March 2021| Version 2 | DOI: 10.17632/xjvsp3dhzf.2
Contributor:
David Beniaguev

Description

This dataset is related to the work "Single cortical neurons as deep artificial neural networks" (bioRxiv: https://www.biorxiv.org/content/10.1101/613141v2, SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3717773) Code, data and pretrained networks of the work can be found at following links below: Live Notebook with main result replicated: https://www.kaggle.com/selfishgene/single-neuron-as-deep-net-replicating-key-result Dataset and pretrained networks: https://www.kaggle.com/selfishgene/single-neurons-as-deep-nets-nmda-test-data Live Notebook exploring the dataset: https://www.kaggle.com/selfishgene/exploring-a-single-cortical-neuron Full Github repo: https://github.com/SelfishGene/neuron_as_deep_net The specific csv file in this dataset holds the full test evaluation details (network hyperparameters, various evaluation metrics) for 174 deep networks fitted on 3 different types of biophysical models {AMPA + NMDA synapses, AMPA only synapses, AMPA only synapses w/o somatic SK ion channel} All other files related to the dataset are in the kaggle dataset linked above (doi: 10.34740/KAGGLE/DS/417817)

Files

Steps to reproduce

Live Notebook with main result replicated: https://www.kaggle.com/selfishgene/single-neuron-as-deep-net-replicating-key-result Full Github repo: https://github.com/SelfishGene/neuron_as_deep_net

Institutions

Hebrew University of Jerusalem - Edmond J Safra Campus

Categories

Neuroscience, Computational Neuroscience, Machine Learning

License