||"A major challenge in experimental data analysis
is the validation of analytical methods in a fully controlled
scenario where the justification of the interpretation can
be made directly and not just by plausibility.
One solution is to use simulations of realistic
models to generate ground truth data.
In neuroscience, creating such data requires plausible models of
neural activity, access to high performance computers, expertise and
time to prepare and run the simulations, and to process the output.
To facilitate such validation tests of analytical methods we provide
rich data sets including intracellular voltage traces, transmembrane
currents, morphologies, and spike times.
The data were generated using the
largest publicly available multicompartmental model of thalamocortical
network (Traub et al. 2005), with activity evoked by different thalamic stimuli."