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Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes.
This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes.
Her master's thesis investigated neural network modeling methods for describing animal species distributions.
The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology.
Ekeberg O, Hammarlund P, Levin B, Lansner A (1994) SWIM-A simulation environment for realistic neural network modeling.
The novel method constructs a predictive model by employing evolutionary neural network modeling approach.
This paper concerns fault detection and isolation based on neural network modeling.
The contributors analyze this "first half second" of visual processing known as its microgenesis from a variety of perspectives, including neuroscience, neuropsychology, psychophysics, psychology, and neural network modeling.
We conclude with a proposed scheme for investigating tinnitus that combines neural network modeling with brain imaging experiments.
These constraints pose exciting challenges for future work in neural network modeling that is applicable to systems and cognitive neuroscience.
This paper also develops the whole design steps for PSO-based feedforward neural network modeling for nonlinear discrete systems.
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