We are building detailed biophysical models to understand the role of various biophysical processes in signal integration in neurons under in vivo-like input conditions.
Current experimental techniques allow the simultaneous recording of hundreds of neurons, but extracting the behaviorally relevant and easily interpretable variables represented by the data is challenging.
The goal of our laboratory is to understand how various biological phenomena (e.g., ion channels, dendritic spikes, synaptic clustering or theta sequences) contribute to the behaviorally relevant computations performed by the brain.
