Notes
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
Receptive Fields of LGN Neurons
M-cells and Ganglion cells show very similar receptive fields. Approximately 50% of these cells have an on-center, where the cell strongly responds to an increase of light intensity. While the other 50% shows off-center, where the cell strongly responds to a decrease in light intensity. This type of receptive field is great to detect contrast. P-cells also have round receptive fields, but rather than discriminating light intensity, they discriminate between middle and long wavelengths. Furthermore, the size of the centers of the receptive fields changes depending on the location of the cell in the retina. Finally, K-cells show again round receptive fields which distinguish among short wavelengths.
