Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
From statistical mechanics to machine learning: effective models for neural activity
In the retina, the activity of ganglion cells, which feed information through the optic nerve to the rest of the brain, is all that our brain will ever know about the visual world. The interactions between many neurons are essential to processing visual information and a growing body of evidence sug...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Mathematics and Applied Mathematics
2023
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: From statistical mechanics to machine learning: effective models for neural activity
- Machine learning in astronomy
- Biologically motivated reinforcement learning in spiking neural networks
- New applications of statistics in astronomy and cosmology
- Insights on neural signal analysis with Higuchi fractal dimension
- A visual perception-guided data augmentation method for efficient machine learning-based detection of facial micro-expressions
- A mixture theory-based concrete corrosion model coupling chemical reactions, diffusion and mechanics