Jeff Orchard
Associate Professor
Cheriton School of Computer Science
University of Waterloo
Canada
Biography
Dr. Jeff Orchard is an Associate Professor in the Cheriton School of Computer Science, University of Waterloo, University Avenue West, Waterloo, ON, Canada.
Research Interest
Professor Orchard's main research interest is computational neuroscience, using mathematical models and computer simulations of neural networks to understand how the brain works. Guided by both theory and anatomy, he is building large-scale neural networks based on computational theories of the brain, such as predictive coding, to uncover the way we perceive the world. His research also includes projects in decision-making network models of the basal ganglia, unsupervised learning of vision networks, spatial navigation, and population coding. He is a core member of the Centre for Theoretical Neuroscience.
Publications
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B.P. Tripp, J. Orchard, Population Coding in Sparsely Connected Networks of Noisy Neurons, Frontiers in Computational Neuroscience, 6, article 23, 2012.
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J. Orchard, H. Yang, X. Ji, Does the Entorhinal Cortex use the Fourier Transform?, Frontiers in Computational Neuroscience, 7, article 179, 2013.
