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livMatS Special Colloquium | The Volitional Brain in Action

livMatS Special Colloquium
Wann 26.02.2020
von 09:15 bis 10:30
Wo Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), Georges-Köhler-Allee 105, 79110 Freiburg
Name Sonja Seidel
Kontakttelefon 0761/203-95361
Teilnehmer (Prof. Dr. Paul Verschure, Institute for Bioengineering of Catalonia, IBEC, Barcelona)
Termin übernehmen vCal

Prof. Dr. Paul Verschure (Institute for Bioengineering of Catalonia, IBEC, Barcelona)

Mittwoch, 26.02.2020, 09:15 Uhr - 10:30 Uhr

Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), Georges-Köhler-Allee 105, 79110 Freiburg

Termin übernehmen:
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Ausführliche Beschreibung:

Volitional motor control can be seen as the result of a gradual replacement of feedback by feedforward control. We have addressed this question from the perspective of an integrated architecture called the Distributed Adaptive Control (DAC) theory of mind and brain. DAC proposes that the brain is a multi-layer control system which optimizes the how of action by considering why (motivation), what (objects), where (space), when (time) and who (agents) or the H5W problem. We have shown that for DAC to realize optimal solutions in foraging problems, its decision-making renders policies that simultaneously optimize perceptual evidence, memory bias, goals, and utility. This raises the question of what the principles are that underlie the processing and adaptation of these factors. In this presentation, I will focus on a link between policy adaptation and perceptual learning we have recently advanced. We propose that adaptive motor control can also be obtained by relying on a cascade of purely sensory predictions that drive feedback control via counterfactual errors or Hierarchical Sensory Predictive Control. Using robot experiments, we have demonstrated the robustness of this solution.

Interne Verantwortlichkeit:
Living, Adaptive and Energy-autonomous Materials Systems (livMatS)

Name: Sonja Seidel
Tel: 0761/203-95361


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