Notes
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A collection of fragments of understanding in the pursuit of deeper questions.
Contents
- Computational Vision
- Introduction to Data Science
- Translational Neuromodeling
- Deep Learning in Artificial & Biological Neuronal Networks
- Introduction to Neuroinformatics
- Intro to Neuroscience
- Systems Neuroscience
- Readings in Neuroinformatics
- Neurobiology of Consciousness
- Econometrics
- Principles of Finance
- Big Data & Databases
- Game Theory
- Intro to Blockchain
- Marketing Analytics
- Financial Accounting
- Fundamentals of Computer Science
- Foundamentals of Information Technology Law
- Statistics
- Computer Programming
- Macroeconomics
- EU Information Law & Data Economy
- Advanced Mathematics & Statistics
- Principles of Management
- Mathematics
- Microeconomics
Reichardt Detector
This is a computational model or neural circuit designed to identify motion or movement in a visual scene by computing the relative change in intensity across space and time. It compares the output of two spatially separated photoreceptor neurons, which are sensitive to light intensity changes. These neurons have their outputs delayed and multiplied, and the final output is a measure of correlation between the intensity changes at the two spatial locations. If the change an intensity at one location closely follows the change in intensity at the other location, with a small delay, the detector signals motion in a specific direction.