Non-invasive investigation of human sensory processing with high temporal resolution typically involves repeatedly presenting discrete stimuli and extracting an average event-related response from scalp recorded neuro-electric or neuro-magnetic signals. While this approach is and has been extremely useful, it suffers from two drawbacks: a lack of 'naturalness' in terms of the stimulus and a lack of 'naturalness' in terms of the stimulus and of precision in terms of the cortical response generators. We are developing a linear modelling approach that aims to exploit functional specialization in sensory systems to rapidly obtain spatiotemporally precise responses to complex sensory stimuli using electroencephalography (EEG).