Abstract
It is largely unknown how the properties of the somatosensory system relate to the properties of naturally occurring whisker deflections. Here, we analyse representations of simulated neurons that have optimally sparse activity in response to recorded reflections of a rat whisker from surfaces of everyday objects. These representations predict a number of interesting properties of neurons in the somatosensory system that have not been measured yet.
Original language | English (US) |
---|---|
Pages (from-to) | 805-812 |
Number of pages | 8 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 2714 |
State | Published - Dec 1 2003 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)