Deep Learning and Brain Function
Human Visual System
Since the beginning of time people have been interested in finding out how the brain works -
see slides on Ray Kurzweil's book How to Create a Mind.
This project involves the human visual system which is one of the best understood systems in the human brain.
Some previous character recognition projects are perhaps tangentially related to this one, see Research Day Conference papers
Also, see Dissertation by Dmitry Nikelshpur.
This project involves the following steps:
This semester's extension of the project will involve:
- Write a clear, concise, and reasonably complete description of the human visual system from the eye to the visual cortex (about 2.5 double-column pages).
- Generate a table enumerating the major simulations (true simulations, not artificial neural networks)
of the human visual system with a brief description of each (about 2.5 double-column pages).
- Generate a table enumerating the major deep learning neural network models that come close to simulating the functionality
of the human visual system with a brief description of each (about 2 double-column pages).
- Compare and contrast the simulations of step 2 with the models of step 3 (about 0.5 double-column pages).
- Based on the knowledge gained from the above, describe three research studies you think would be interesting to further explore this area (about 0.5 double-column pages).
The outcome of this project should provide an excellent background and literature review
for deep learning or other studies in this area.
- Investigate and describe the relationship between deep learning and brain function, see
- More detail about how the human visual system works to recognize objects
- Investigate and determine the best human visual system models used for computer vision and computer graphics applications
This project is basically a literature review project and involves no programming.
The students selecting this project must have high proficiency in the English language, and excellent library research and writing capabiliies.
The English in the technical paper from last semester will need to be improved and the material extended with this semester's work.
This project is a continuation of last semester's project, see
2016 Fall Project Paper.