Methods
Based on previous works, we have constructed a model of cortical network [4] in order to generalize the application of adaptive algorithm, from single cell [5] to the activity of populations of cortical neurons. The network is controlled by afferent connectivity from thalamus. This connectivity is described by a Poisson process with a rate depending on time. The procedure of off-line optimization of sensory stimuli is applied both to cortical network model and experimental data of sensory cortex (activity of single units from somatosensory cortex and multi-units from auditory cortex). In all cases, the stimulus has two control parameters: modulation and amplitude of external input for network model, frequency and locations for tactile stimulus and intensity and frequency for auditory stimulus.