Stimuli, brain signals, behavioural responses: An information-theoretic accoun
The main assumption of cognitive neuroscience is simply stated as follows: If the brain is a machine that processes information, then its cognitive activity can be interpreted as a set of information processing states linking stimulus to response (i.e. as a mechanism or an algorithm). This sets a research agenda with one major cornerstone: the existence of methods that bridge between the information processing states of a cognitive theory and the measurable states of brain activity. I will present information-theoretic results suggesting that such bridges exist. Using examples from visual cognition, I will illustrate how a novel information-theoritic framework can be applied to modestly start to understand the information processing algorithms of the brain in cognitive neuroscience.