This PhD proposal aims to study synaptic integration of inputs in a realistic in vivo environment. Previous in vitro studies of input integration in neurons have limitations as they do not account for background activity and noise present in vivo. The project will use computational modeling and dynamic photo stimulation to evaluate non-linear integration effects, how the neuron's output depends on input correlation and location, and better understand rate coding versus temporal coding in a more realistic setting.