Acquisition of concepts and causal rules in SHRUTI

The shruti model demonstrates how complex cognitive functions can be realized by neural circuitry. This paper addresses how some key elements of this circuitry can be learned in a neurally plausible manner. Two basic mechanisms, causal Hebbian learning and recruitment learning, are used to learn relational concepts and causal rules.