This lecture focuses on modeling in vitro data in the context of computational neuroscience, exploring topics such as the effect of a spike on neuronal dynamics, predicting subthreshold voltage and spike times, and the time scale of filters. The instructor discusses various neuron models, optimization techniques, and the importance of interpreting results in a systematic manner.