James Hazelden

Articles:

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Research:

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1. Operators Governing Dynamics of GD Learning in Recurrent Models (paper)
Introduction to K-P Flow Operator Formulation.

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2. Backpropagation for Training Biophysical Neural Networks (BNNs) (paper)
Loss Landscapes Emerging from BNNs,
Training Neuronal Circuits with Finite Difference, Interfacing BNNs and Spiking Data,

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3. Simulating Networks of Biophysical Neurons on the GPU (paper)
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Personal Projects:

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Soft Body Physics in CUDA and OpenGL,  Tensor Calculus and the Tensor Chain Rule,
Hazey: Designing a GUI Builder in OpenGL,  Space Log,
Voronoi Diagrams in 2- and 3-D.

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Random:

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Random Art,  Coffee Brightness as a Function of Time