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SUMMARY:CCN Software Workshop at Federation of European Neuroscience Socie
 ties Forum 2024
DTSTART:20240622T130000Z
DTEND:20240623T210000Z
DTSTAMP:20260614T133300Z
UID:indico-event-3959@indico.flatironinstitute.org
DESCRIPTION:Welcome to the first pynapple-fastplotlib-nemos workshop\, whi
 ch will run from June 23 to 24\, 2024\, right before the FENS Forum! This 
 workshop will teach attendees how to use open source python libraries deve
 loped by the NeuroRSE Group at the Flatiron Institute's Center for Comp
 utational Neuroscience to explore\, manipulate\, visualize\, and analyze 
 their systems neuroscience data.pynapplepynapple is a light-weight python 
 library for neurophysiological data analysis. The goal is to offer a versa
 tile set of tools to study typical data in the field\, i.e. time series (s
 pike times\, behavioral events\, etc.) and time intervals (trials\, brain 
 states\, etc.). It also provides users with generic functions for neurosci
 ence such as tuning curves and cross-correlograms.FastplotlibNext-gen plot
 ting library built using the pygfx rendering engine that can utilize mod
 ern GPUs so it is very fast! It is an expressive plotting library that ena
 bles rapid prototyping for large scale explorative scientific visualizatio
 n.nemosA statistical modeling framework for systems neuroscience. Nemos\, 
 our latest software package\, specializes in GPU-accelerated optimizations
 . Its current core functionality includes the implementation of the Genera
 lized Linear Model (GLM) for spike train analysis.Workshop contentsThrough
  a combination of theoretical presentations and hands-on tutorials\, atten
 dees will learn how to:Use pynapple to stream publicly available datasets 
 following the Neurodata Without Borders (NWB) standard.Use pynapple to man
 ipulate time series and perform standard system neuroscience analyses such
  as tuning curves\, cross-correlograms and more.Use fastplotlib to build e
 fficient and powerful GPU-accelerated visualizations.Use nemos to fit Gene
 ralized Linear Models (GLM) in order to gain insight into neural responses
 .  To learn more and apply\, click here.  \n\nhttps://indico.flatironi
 nstitute.org/event/3959/
URL:https://indico.flatironinstitute.org/event/3959/
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