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STAT 361: Computational Statistics
STAT 361: Computational Statistics

... No matter what the situation is, I have ZERO tolerance for plagiarizing (cheating). If one chooses to copy others’ work, s\he chooses grade over learning and is unfair to her\his classmates. There will be legal consequences. ...
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... How do neural networks respond to instantaneous perturbations of their activity? This question has been the subject of intense investigation ever since the advent of optogenetic perturbation techniques, which allow us to instantaneously perturb neural activity and record the response. We do not yet ...
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... History of neural network • Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived at least one major setback and several eras. • The first artificial neuron was produced in 1943 by the neurophysiologist War ...
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Paul Churchland`s Call for a Paradigm Shift in Cognitive Science

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Computational creativity

Computational creativity (also known as artificial creativity, mechanical creativity or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts.The goal of computational creativity is to model, simulate or replicate creativity using a computer, to achieve one of several ends: To construct a program or computer capable of human-level creativity. To better understand human creativity and to formulate an algorithmic perspective on creative behavior in humans. To design programs that can enhance human creativity without necessarily being creative themselves.The field of computational creativity concerns itself with theoretical and practical issues in the study of creativity. Theoretical work on the nature and proper definition of creativity is performed in parallel with practical work on the implementation of systems that exhibit creativity, with one strand of work informing the other.
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