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Presentations and recorded lectures from external speakers for the course Open Neurophysiology: Data and Tools. Organizers: Antonis Asiminas, Peter C Petersen, Rune N Rasmussen In recent years, an increasing number of datasets and analysis tools have become freely available. These come from national and international research initiatives, as well as individual labs and researchers. However, the majority of researchers are not aware of these resources, or they do not possess the skills to make full use of them. This five-day course will focus on open data and tools in neurophysiology with hands-on tutorials and lectures. Day 1: An overview of open science initiatives, with a focus on neuroscience data repositories and tools. Day 2: Open neurophysiology data, with a focus on neurophysiological data from the Allen Brain Observatory. Day 3: Focus on behavioural analysis. We will provide a high-level overview of the current available tools for conducting behavioural experiments and analysing behaviour. A hands-on tutorial focusing on DeepLabCut (a marker-less pose estimation tool). Day 4: Open analysis tools (written in MATLAB and/or Python) to analyse neurophysiological data. Day 5: We will continue and conclude with the neurophysiology data analysis hands-on tutorial. We will also provide an overview on data and code sharing (e.g., the “FAIR” principles). The lectures by external speaks cover: Alexander Mathis: Analysing behaviour with deep learning: DeepLabCut;Adrien Peyrache: Open Systems Neuroscience: PYNAPPLE;Noam Nitzan: Using open ephys data from the Allen Brain Observatory;Jared Cregg: Using open tools for behavioural analysis: DeepLabCut,Shreya Saxena: Open neurophysiology education; and Liset M de la Prida: Open machine learning for hippocampal electrophysiology. |
