Although spike rate is an important and intuitive parameter to describe a compound’s action, other spike train-derived parameters are more informative. This information/value relation was assessed by the NeuroProof pattern recognition methods.
The effect of a chemical stimulation on a neuronal microcircuit () monitored by its changes in a spike train fingerprint can only be successfully analyzed with multi-variate statistical and pattern recognition methods. The NeuroProof platform allows analyzing and visualizing these changes in activity fingerprints. These data are summarized in profound scientific reports to enable clients to interprete and integrate phenotypic profile into the discovery process.
NeuroProof performs classification experiments to identify an unknown compound by its electrophysiological fingerprints. Thus, it is possible to assign a compound to its potential therapeutic indications.