Cognitive Modeling

ABiALS 2010/11: Spatial Representations and Dynamic Interactions

Each presentation is scheduled to consist of a half hour talk plus 15 minutes discussion time.

Slides of the talks are interlinked below (given the author's approval)

Abstracts can be found here


Day 1: Development of Interactive Spatial Representations


Welcome and Introduction (8:45-9:00)

Session 1.1: Neural Predictive Representations of Space (9:00-10:30)

Keith L. Downing: Exploring neural mechanisms for prediction

Peter König: Overt visual attention as predecessor of conscious perception

--- Coffee break ---

Session 1.2: Learning and Representing Spatial Models (11:00-12:30)

Martin Butz: Learning modular, sensorimotor-grounded encodings for goal-directed decision making and control

Gregor Schöner: Dynamic Field Theory as a framework for understanding embodied cognition

--- Lunch ---

Session 1.3: Spatial Representations and Learning (13:30-15:00)

Claes Von Hofsten: Prediction is the foundation of cognition

Thomas Schack: Cognitive representation and learning in motor action

Poster Spotlights (15:00-16:00)

--- Coffee break ---

Session 1.4: Models of Spatial Representations and Learning (16:30-18:00)

Chris Miall: Internal models in the cerebellum - coordination, learning and state estimation

Helge Ritter: Manual interaction for spatial cognition

Poster Session (18:00-19:00)

Poster abstracts can be found here

--- break ---

Dinner (20:30 -) at the Brauhaus Joh. Albrecht, Bielefeld


Day 2: Development of Dynamic Spatial Interaction Routines


Session 2.1: Transformations of Interactions (9:00-10:30)

Christine Sutter: Action control under transformed perception-action feedback

Oliver Herbort: Planning for object interaction: Experiments and models

--- Coffee break ---

Session 2.2: Modeling Object and Tool use Interactions (11:00-12:30)

Jun Tani: Generation of cognitive behavior through top-down and bottom-up interaction in hierarchical cortical networks: Neuro-robotics experiments

Wolfram Schenck: Application scenarios for visual prediction: From motor learning to mental imagery

--- Lunch ---

Session 2.3: Joint Motor Interactions (13:30-15:00)

Giovanni Pezzulo: How internal modeling can be used to 'understand' the external world

Ruud Meulenbroek: End-state comfort speeds up shared motor tasks

--- Coffee break ---

Concluding Discussion and Future Challenges (15:30 ? 16:30)