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Dynamic 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.
This book investigates how Dynamic Field Theory (DFT) serves as a formal framework to bridge the gap between neural population dynamics and observable cognitive behavior. The authors, representing the DFT Research Group, Gregor Schöner, and John P. Spencer, synthesize principles from dynamical systems theory and neurophysiology to provide a rigorous methodology for modeling brain function. By integrating mathematical implementation with behavioral data, the text argues that cognitive processes are best understood as continuous, time-evolving neural representations rather than static computations.
What You Will Find
Experts identify this work as a foundational text for students and researchers seeking to apply computational modeling to cognitive and neural data. Readers frequently note the technical density of the prose, which requires a solid background in mathematics and systems theory to fully grasp the provided simulations.
Page Count:
288
Publication Date:
2015-01-01
Publisher:
Oxford University Press
ISBN-10:
0199300577
ISBN-13:
9780199300570
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