- I am a neuroscientist and neural network modeler at Brain Corporation in San Diego, California.
- Using computer simulations, I study how networks of neurons learn to control themselves and generate thought, decisions, memory and movement.
Publications and Presentations
For a complete list, see my CV here.
- Publication: Cole M.W., Laurent P., Stocco A. (2013) Rapid instructed task learning: A new window into the human brain's unique capacity for flexible cognitive control. Cognitive, Affective, & Behavioral Neuroscience. (journal link)
- Publication: Laurent, P. A. (2012) A Neural Mechanism for Reward Discounting: Insights from Modeling Hippocampal-Striatal Interactions. Cognitive Computation. (journal link) (my draft, free)
Check my blog
Here is some software I've developed during my research. You are free to use any of this source code in your work as long as you acknowledge me. I hope to get around to selecting a more specific open source license soon.
- Computational Modeling
- My project to develop a simple but powerful neural network simulation language inspired by SQL. NNQL minimizes programming time, maximizes clarity of model descriptions, and improves communication between modelers and non-modelers.
- Adaptive Reading Agent Simulator
|(Runs in a GUI) Train a Reinforcement Learning agent to control its saccadic eye movements as it reads words of various lengths and word identification difficulties. Outputs data in MATLAB matrix format for easy analysis.|
- Recurrent McCulloch-Pitts Network
- Train and test a Levy-style recurrent neural network of spiking McCulloch-Pitts neurons.
- SVM Weight Extractor
- Handy script that extracts weights from the SVM generated by MATLAB's bioinformatics toolbox so you can look at the value of your decision variables.
- ASL Eye Tracker Driver
- This Java code allows you to get gaze information from ASL eye trackers via a serial port connection for gaze-contingent paradigms. It interprets the binary data from the controller.
- EPI Noise Echo Cancellation
- If you need to hear your participant in real time during your fMRI experiment, this ChucK script allows
you to cancel out the scanner noise during EPI data acquisition.
When Patryk was 6 years old, he began programming his Commodore 64 to ask questions and interpret their answers. A little over a decade later, while reading a book called "Computers and Human Language Processing" on a plane, he stumbled into a neatly hidden chapter on neural networks
. This initiated a major paradigm shift in his thinking.
After first beginning studies in Linguistics, Patryk elected to pursue a major in Cognitive Sciences and Neuroscience at the University of Virginia. One year in, he became a student of William B Levy, joining the Laboratory of Systems Neurodynamics. Between undergraduate and graduate school, Patryk spent a few years in the software industry. Patryk then earned a Ph.D in Neuroscience from the University of Pittsburgh and the Center for the Neural Basis of Cognition.
Dr. Laurent accepted a postdoctoral research position at the Johns Hopkins University where he carried out a several research projects studying how reward influences the control of visual attention.
At the present time, he is ecstatic to be doing cutting-edge neural network modeling research as a scientist Brain Corporation.