Abstract
Understanding how neurons represent, process, and manipulate information is one of the main goals of neuroscience. These issues are fundamentally abstract, and information theory plays a key role in formalizing and addressing them. However, application of information theory to experimental data is fraught with many challenges. Meeting these challenges has led to a variety of innovative analytical techniques, with complementary domains of applicability, assumptions, and goals.
| Original language | English |
|---|---|
| Pages (from-to) | 302-316 |
| Number of pages | 15 |
| Journal | Biological Theory |
| Volume | 1 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2006 |
| Externally published | Yes |
Keywords
- direct method
- information theory
- metric space method
- neural coding
- sensory
- spike trains
- systems