Interact with the Synaptic Physiology Dataset

Online Jupyter notebooks

Hosted by mybinder.org, these notebooks provide an interactive environment for accessing, analyzing, and visualizing results from the Synaptic Physiology Dataset. This provides a quick way to begin interacting with the data in your browser, but some Python experience is recommended.

Note: mybinder.org instances will shut down after 10 minutes of inactivity. These are great for quickly exploring the dataset, but not appropriate for prolonged data analysis.

Explore notebooks in MyBinder

Interactive desktop tools

Explore the Synaptic Physiology Dataset with interactive tools. Choose cell classes of interest and synaptic metrics to see an overview of cortical synaptic physiology. Requires installation of a Python programming environment on your local machine.

Access the data directly via our API

The Synaptic Physiology Python programming packages provide access to three sqlite databases, described below, as well as the original NWBv1 (HDF5) data files.

Small

(~170 MB)

Medium

(~7 GB)

Full

(>160 GB)

experiment metadata

tissue source, experimental conditions

chemical / electrical connections

connection probability

cell properties

transgenic class, layer, morphology, intrinsic physiology

per-connection average properties

strength, kinetics, dynamics,

averaged synaptic responses,

electrical connection properties

per-connection synaptic release models

quantal release parameters,

short-term plasticity

per-stimulus response properties

curve fits to individual synaptic responses

per-stimulus spike properties

timing and measurements of individual presynaptic spikes

stimulus / recording metadata

per-stimulus response data

time-series data for every presynaptic spike and corresponding postsynaptic recording