Abstract
It is difficult to extract the information carried by neuronal responses about a set of stimuli because limited data samples result in biased estimates. Recently two improved procedures have been developed to calculate information from experimental results: a binning-and-correcting procedure and a neural network procedure. We have used data produced from a model of the spatiotemporal receptive fields of parvocellular and magnocellular lateral geniculate neurons to study the performance of these methods as a function of the number of trials used. Both procedures yield accurate results for one-dimensional neuronal codes. They can also be used to produce a reasonable estimate of the extra information in a three-dimensional code, in this instance, within 0.05-0.1 bit of the asymptotically calculated value - about 10% of the total transmitted information. We believe that this performance is much more accurate than previous procedures.
| Original language | English |
|---|---|
| Pages (from-to) | 649-665 |
| Number of pages | 17 |
| Journal | Neural Computation |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Apr 1997 |
ASJC Scopus subject areas
- Arts and Humanities (miscellaneous)
- Cognitive Neuroscience