Name: Ken Burke
Type: User
Company: University of California - San Francisco
Bio: Neuroscientist interested in the emergence of intelligent behavior in biological and artificial systems. Ask me about what neurons do!
Location: San Francisco, CA
Ken Burke's Projects
Compare partition and hierarchical clustering methods for analysis of enzyme active sites, with continuous integration testing.
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Event detection through deconvolution in Igor Pro. Accompanied by GUI for hyperparameter tuning, manual intervention and visualization.
Generative Agents: Interactive Simulacra of Human Behavior
A complete computer science study plan to become a software engineer.
Neuronal spike sorting GUI written in MATLAB
Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
Analysis and visualization of two-photon linescan experiments performed in Prairie View
Export data from Igor Pro to MATLAB
Talk "Deep Learning From Scratch Using Python" to be delivered at ODSC West on November 4, 2017
Text progress bar library for Python
Presentation for Nanosymposium at the Society for Neuroscience conference, 2018
Examine complexity of sorting algorithms in python with continuous integration testing
Simplified model of neuronal synapse using Monte Carlo simulation of calcium channel activity.
A repository to store course materials for the data-driven neuroscience in python short-course.