Trace viewer

[rossant]

Possible starting point. Based on Vispy.

Features

• Simple paging system.
• Load the entire page into GPU memory, no dynamic undersampling (first approach).
• Load and show the previous and next pages.
• Pan & zoom.
• Change channel scaling uniformly.
• Optional automatic page scrolling with a timer.

  Inputs

• NumPy array (or memmap array) of size (nchannels, nsamples)
• h5py dataset
• [Optional] spike trains (spike times, neuron indices, masks) to show the spikes within the traces

  Options

• Color of the channels
• Page size

[rossant]

API

• visual.traces: (n_samples, n_channels) array (may be a NumPy array, a memmapped array, or an HDF5 dataset: the slicing interface is the same)
• visual.channel_order: the list of channel ids to display, from top to bottom. One can display a subset of the channels
• visual.channel_colors: the list of colors to use for the channels (same length as channel_order)
• visual.spike_samples: the full array of spike samples
• visual.spike_clusters: the full array of spike clusters
• visual.cluster_ids: the list of cluster ids to display
• visual.cluster_colors: the list of cluster colors (same length as cluster_ids)
• visual.channel_positions: the positions of the channels on the y-axis (linear uniform by default)
• visual.channel_scale: a scalar with the scale factor for all channels on the y-axis
• visual.interval: the (start, end) section to display
• visual.sample_rate
• visual.n_samples_per_spike