Evolution, development and intentional control of imitation.

Evolution , Development and Intentional Control of Imitation 5 - 7 March 2008

Theme Issue on the ‘Evolution, Development and Intentional Control of Imitation’, Philosophical Transactions of the Royal Society ASSOCIATIVE SEQUENCE LEARNING: THE ROLE OF EXPERIENCE IN THE DEVELOPMENT OF IMITATION AND THE MIRROR SYSTEM

A core requirement for imitation is a capacity to solve the correspondence problem; to map observed onto executed actions, even when observation and execution yield sensory inputs in different modalities and coordinate frames. Until recently, it was assumed that the human capacity to solve the correspondence problem is innate. However, it is now becoming apparent that, as predicted by the assoc...

Associative sequence learning: the role of experience in the development of imitation and the mirror system.

A core requirement for imitation is a capacity to solve the correspondence problem; to map observed onto executed actions, even when observation and execution yield sensory inputs in different modalities and coordinate frames. Until recently, it was assumed that the human capacity to solve the correspondence problem is innate. However, it is now becoming apparent that, as predicted by the assoc...

Intentionally not imitating: Insula cortex engaged for top-down control of action mirroring

Perception and action are inextricably linked, down to the level of single cells which have both visual and motor response properties - dubbed 'mirror neurons'. The mirror neuron system is generally associated with direct-matching or resonance between observed and executed actions (and goals). Yet in everyday interactions responding to another's movements with matching actions (or goals) is not...

Imitation of Intentional Behaviour

In this paper a computational simulation of the imitation of intentional behaviour is presented. Important assumptions which make the problem computationally tractable are introduced and motivated. It is shown that horizontal, iterated learning, and vertical transmission schemes can be used to learn from imitation using the proposed framework.