Dynamic Thinking: A Primer on Dynamic Field TheoryDynamic Thinking: A Primer on Dynamic Field Theory introduces the reader to a new approach to understanding cognitive and neural dynamics using the concepts of Dynamic Field Theory (DFT). Dynamic Neural Fields are formalizations of how neural populations represent the continuous dimensions of perceptual features, movements, and cognitive decisions. The concepts of DFT establish links between brain and behavior, revealing ways in which models of brain function can be tested with both neural and behavioral measures. Thus, DFT bridges the gap between brain and behavior, between neuroscience and the behavioral sciences. The book provides systematic tutorials on the central concepts of DFT and their grounding in both dynamical systems theory and neurophysiology. The concrete mathematical implementation of these concepts is laid out, supported by hands-on exercises that make use of interactive simulators in MATLAB. The book also contains a large set of exemplary case studies in which the concepts and associated models are used to understand how elementary forms of embodied cognition emerge and develop. |
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Contents
Neural Dynamics | |
Foundations | |
Embedding Dynamic Field Theory in Neurophysiology | |
Embodied Neural Dynamics | |
Integrating LowerLevel PerceptionAction with | |
Integrating Perception and Working Memory in a ThreeLayer | |
Dynamic Scene Representations and Autonomous Robotics | |
Integrating Thinking over Multiple Timescales | |
A Process View of Learning and Development in an Autonomous | |
Grounding Word Learning in Space and Time | |
Dynamic | |
Autonomous Sequence Generation in Dynamic Field Theory | |
A Howto Guide to Modeling with Dynamic Field | |
Other editions - View all
Dynamic Thinking: A Primer on Dynamic Field Theory Gregor Schöner,John Spencer,DFT Research Group Limited preview - 2015 |
Dynamic Thinking: A Primer on Dynamic Field Theory Gregor Schöner,John Spencer,Dft Research Group Limited preview - 2015 |
Common terms and phrases
activation field activation patterns activation peaks activation variables AnotB architecture attractor autonomous autonomous robot biases bodycentered boost capture change detection Chapter cognitive color color field computational contrast fields cortex detection instability developmental DF model dynamic field theory dynamical system encoding excitatory feature dimensions Figure function gaze direction heading direction infants inhibition inhibitory integration interactions Kopecz label lateral inhibition layer learning looking mechanism memory trace midline motor movement neural dynamics neural networks neural population neurons Neuroscience object ordinal node parameters perception population code position processes projection receptive field reference frame response resting level retinal ridge input robot saccade Sandamirskaya scene attention fields scene representation Schöner Schutte sensory shows sigmoid function simulations slider space spatial attention field spatial recall specific Spencer stability stimulus subthreshold superior colliculus target task test card threelayer transformation field trial tuning curves twodimensional field vehicle visual WM fields WM peak