Learning Abstract Representations through Lossy Compression of Multi-Modal Signals

no code implementations • 27 Jan 2021 • Charles Wilmot, Gianluca Baldassarre, Jochen Triesch

A key competence for open-ended learning is the formation of increasingly abstract representations useful for driving complex behavior.

Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders

no code implementations • 27 Jan 2021 • Charles Wilmot, Bertram E. Shi, Jochen Triesch

We present a model of the self-calibration of active binocular vision comprising the simultaneous learning of visual representations, vergence, and pursuit eye movements.