Lectures

On this page, you will find video recordings of lectures that we gave in DFT summer schools and workshops. For some of those lectures, you will also find the slides and supplementary material such as videos used in the lectures.

Foundations & advanced concepts of DFT

Lecturer: Prof. Dr. Gregor Schöner

Motor Habituation

Lecturer: Sophie Aerdker, M.Sc.

A Neural Dynamic Account for Sequence Generation

Lecturer: Jan Tekülve, M.Sc.

Visual Search and Scene Memory

Lecturer: Raul Grieben, M.Sc.

Grounding in Dynamic Field Theory

Lecturer: Dr.-Ing. Mathis Richter

Introduction

Lecturer: Prof. Dr. Gregor Schöner

DFT core lecture

Lecturer: Prof. Dr. Gregor Schöner

DFT models

Lecturer: Prof. Dr. Gregor Schöner

CEDAR tutorial

Lecturer: Dr.-Ing. Mathis Richter

Embodied neural dynamics (part 1)

Lecturer: Prof. Dr. Gregor Schöner

Embodied neural dynamics (part 2)

Lecturer: Prof. Dr. Gregor Schöner

Higher dimensions

Lecturer: Prof. Dr. Gregor Schöner

Sequential processing

Lecturer: Prof. Dr. Gregor Schöner

Case study 1: Scene representation

Lecturer: Raul Grieben, M.Sc.

Case study 2: Relational concepts and grounding

Lecturer: Dr.-Ing. Mathis Richter

Case study 3: Conceptual combination

Lecturer: Daniel Sabinasz, M.Sc.

Case study 4: Neural process models for intentional states

Lecturer: Jan Tekülve, M.Sc.

Guest Lecture 1: Developmental robotics with DFT

Lecturer: Quentin Houbre

Guest Lecture 2: Drift in neural population activity causes working memory to deteriorate over time

Lecturer: Dr.-Ing. Sebastian Schneegans

Introduction 2014

Lecturer: Prof. Dr. Gregor Schöner

Embodied nervous systems, braitenberg vehicles

Lecturer: Prof. Dr. Gregor Schöner

Attractor dynamics Approach

Lecturer: Prof. Dr. Gregor Schöner

Neural dynamics

Lecturer: Prof. Dr. Gregor Schöner

Dynamic Field Theory

Lecturer: Prof. Dr. Gregor Schöner


Behavioral organization

Lecturer: Dr.-Ing. Mathis Richter

Higher dimensional fields and transformations

Lecturer: Dr.-Ing. Sebastian Schneegans

Scene representation in dynamic field theory

Lecturer: Stephan Zibner

Object recognition in dynamic field theory

Lecturer: Oliver Lomp

Autonomous learning in dynamic field theory

Lecturer: Dr. Yulia Sandamirskaya

Probabilistic interpretation of dynamic neural field

Lecturer: Alexander Gepperth

Predictive and sparse neural fields

Lecturer: Jean-Charles Quinton

Higher cognition in dynamic field theory

Lecturer: Dr. Jonas Lins

DFT foundations: embodied cognition

Lecturer: Prof. Dr. Gregor Schöner



DFT higher cognition

Lecturer: Prof. Dr. Gregor Schöner


DFT autonomy

Lecturer: Prof. Dr. Gregor Schöner

Cedar tutorial

Lecturer: Jan Tekülve, M.Sc.

SPECIAL LECTURE: The WOLVES model on Word-Object Learning via Visual Exploration in Space

Lecturer: Prof. Dr. John P. Spencer

SPECIAL LECTURE: Scene representation and visual search

Lecturer: Raul Grieben, M.Sc.

SPECIAL LECTURE: Models of grounded cognition

Lecturer: Daniel Sabinasz, M.Sc.

SPECIAL LECTURE: Using mouse tracking to study visual search

Lecturer: Cora Hummert

SPECIAL LECTURE: Neural process models of intentional states

Lecturer: Jan Tekülve, M.Sc.

SPECIAL LECTURE: Action grammars in DFT

Lecturer: Sophie Aerdker, M.Sc.