Quantifying the information transmitted in a single stimulus
| dc.creator | Bezzi, Michele | |
| dc.date | 2006-01-23 | |
| dc.date.accessioned | 2026-07-07T07:00:08Z | |
| dc.date.available | 2026-07-07T07:00:08Z | |
| dc.description | Shannon mutual information provides a measure of how much information is, on average, contained in a set of neural activities about a set of stimuli. It has been extensively used to study neural coding in different brain areas. To apply a similar approach to investigate single stimulus encoding, we need to introduce a quantity specific for a single stimulus. This quantity has been defined in literature by four different measures, but none of them satisfies the same intuitive properties (non-negativity, additivity), that characterize mutual information. We present here a detailed analysis of the different meanings and properties of these four definitions. We show that all these measures satisfy, at least, a weaker additivity condition, i.e. limited to the response set. This allows us to use them for analysing correlated coding, as we illustrate in a toy-example from hippocampal place cells. | |
| dc.description | 13 pages, 4 figures | |
| dc.identifier | https://arxiv.org/abs/q-bio/0601038 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0601038 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/107967 | |
| dc.subject | Neurons and Cognition | |
| dc.subject | Quantitative Methods | |
| dc.title | Quantifying the information transmitted in a single stimulus | |
| dc.type | text |