Chapter 10: The cognitive brain

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Presentation transcript:

Chapter 10: The cognitive brain Fundamentals of Computational Neuroscience Chapter 10: The cognitive brain Dec 09

Hierarchical maps and attentive vision

Attention in visual search and object recognition Gustavo Deco

Model

Example results

The interconnecting workspace hypothesis Stanislas Dehaene, M. Kergsberg, and J.P. Changeux, PNAS 1998

Stroop task modelling

The anticipating brain The brain can develop a model of the world, which can be used to anticipate or predict the environment. The inverse of the model can be used to recognize causes by evoking internal concepts. Hierarchical representations are essential to capture the richness of the world. Internal concepts are learned through matching the brain's hypotheses with input from the world. An agent can learn actively by testing hypothesis through actions. The temporal domain is an important degree of freedom.

Outline

Recurrent networks with hidden nodes

Training Boltzmann machines

The restricted Boltzmann machine

Deep generative models

Adaptive resonance theory (ART)

Further readings

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