The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Dynamical Cognitive Science
Abstract
An introduction to the application of dynamical systems science to the cognitive sciences. Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Topics include linear and nonlinear time series analysis, chaos theory, complexity theory, relaxation oscillators, and metatheoretical issues of modeling and theory building. Tools and techniques are discussed in the context of their application to basic cognitive science problems, including perception, memory, psychophysics, judgment and decision making, and consciousness. The final chapter summarizes the contemporary study of consciousness and suggests how dynamical approaches to cognitive science can help to advance our understanding of this central concept. Bradford Books imprint
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Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
On computable numbers, with an application to the entscheidungsproblem
Turing, A. M. (1937) · Proceedings of the London Mathematical Society · doi:10.1112/plms/s2-42.1.230 · Cited by 8,283
The Origins of Order: Self-Organization and Selection in Evolution
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Klein, R. M. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01452-2 · Cited by 2,017
The Emperor's New Mind: Concerning Computers, Minds, and The Laws of Physics
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Synchronization of cortical activity and its putative role in information processing and learning
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Cited by
Emergent complex neural dynamics
Chialvo, D. R. (2010) · Nature Physics · doi:10.1038/nphys1803 · Cited by 1,165
Synchronous neural oscillations and cognitive processes
Ward, L. M. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.012 · Cited by 1,009
Self-citationStochastic resonance and sensory information processing: A tutorial and review of application
Moss, F., Ward, L. M., & Sannita, W. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.09.014 · Cited by 994
Self-citationThe Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology
McDonnell, M. D., & Abbott, D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000348 · Cited by 774
Metadata
- Authors
- Ward, L. M.
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 2001-12-21
- OpenAlex
- W594367399
- Cited by
- 231
- References
- 13
- FWCI
- 2.85
- Type
- book
- Language
- en
- Open access
- closed
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