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An interactive web-based neuroscience app for analyzing electrophysiological spiking along many different dimensions for many different neurons.

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NeurophysVis/RasterVis

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RasterVis

About

RasterVis is a D3-based visualization tool for quickly viewing, grouping and summarizing spike rasters for many neurons.

This tool allows you to:

  • Generate and change between rasters for many neurons change neurons
  • Quickly view rasters aligned to experimental trial events. change time
  • Add Gaussian-smoothed peristimulus time kernel density estimates with arbitrary smoothing. change smoothing
  • Group spikes based on experimental factors. change factors

Example

See an example here: https://neurophysvis.github.io/RasterVis/public/

Installation

To run RasterVis locally, you need to install the dependencies and set up a local web server.

To install the dependencies and start a webserver, run:

npm install
npm run postinstall

Data Format and Naming

All files must be in the JSON format. Time should be measured in milliseconds.

All data must be placed in the /DATA folder

Your data must follow a specific naming scheme to be rendered by RasterVis.

  • Sessions must be named as (subject) + (sessionNumber) e.g. "Bob23"
  • Neurons must be named as "(sessionName)_(wireNumber)_(unit_number)" e.g. "Bob23_1_1"

There are three main file types:

  • trialInfo.json
  • _TrialInfo.json e.g. "Bob23_TrialInfo.json"
  • Neuron_.json e.g. "Neuron_Bob23_1_1"

The trialInfo.json contains an array of three objects structured as follows:

  
|--neurons
    |--name: Name of neuron
    |--sessionName: Name of session
|--timePeriods
    |--name: Name of trial event
    |--label: Short label of trial event
    |--startID: Beginning of trial event
    |--endID: End of trial event
    |--color: Color of trial event
|--experimentalFactor
    |--name: Name of experimental factor to sort by
    |--value: experimental factor key
    |--factorType: continuous | categorical | ordinal

The (sessionName)_TrialInfo.json is an array of objects corresponding to each trial. Each trial object contains the properties corresponding to trial events and experimental factors. For example:

{
  "trial_id": 129,
  "start_time": 0,
  "fixation_onset": 143,
  "rule_onset": 491,
  "stim_onset": 934,
  "react_time": 1065,
  "reward_time": 1204,
  "end_time": 1232,
  "isCorrect": "Incorrect",
  "isIncluded": "Included",
  "Fixation_Break": "No Fixation Break"
}

The Neuron_(neuronName).json contains an object structured as follows:

|--Name
|--Brain_Area
|--Subject
|--File_Name
|--Number_of_Trials
|--Spikes: an array of spike objects corresponding to each trial
    |--trial_id
    |--spikes: an array of spike times

About

An interactive web-based neuroscience app for analyzing electrophysiological spiking along many different dimensions for many different neurons.

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