Unified theories of cognition
The computational brain
The handbook of brain theory and neural networks
Computational Neuroscience: Trends in Research 1995
Computational Neuroscience: Trends in Research 1995
Computation and Dynamical Models of Mind
Minds and Machines
Discussion The Importance of Continuity: A Reply to Chris Eliasmith
Minds and Machines
Discreteness and Relevance: A Reply to Roman Poznanski
Minds and Machines
Cognition and the Power of Continuous Dynamical Systems
Minds and Machines
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I argue that dynamicism does not provide a convincing alternative to currently available cognitive theories. First, I show that the attractor dynamics of dynamicist models are inadequate for accounting for high-level cognition. Second, I argue that dynamicist arguments for the rejection of computation and representation are unsound in light of recent empirical findings. This new evidence provides a basis for questioning the importance of continuity to cognitive function, challenging a central commitment of dynamicism. Coupled with a defense of current connectionist theory, these two critiques lead to the conclusion that dynamicists have failed to achieve their goal of providing a new paradigm for understanding cognition.