Thu, 21 Aug 2008 15:25:38 BST CiteULike: nelmor encoding http://www.citeulike.org/user/nelmor/tag/encoding CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/nelmor/article/1825754 <i>Nature Neuroscience, Vol. 10, No. 11. (07 October 2007), pp. 1474-1482.</i> Sensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representations Vikas Bhandawat Shawn Olsen Nathan Gouwens Michelle Schlief Rachel Wilson doi:10.1038/nn1976 Nature Neuroscience, Vol. 10, No. 11. (07 October 2007), pp. 1474-1482. 2007-10-26T17:19:30-00:00 2007 Nature Neuroscience 1097-6256 10 11 1474 1482 Nature Publishing Group encoding flies insects odor-discrimination olfactory http://www.citeulike.org/user/nelmor/article/312788 <i>Neuron, Vol. 39, No. 6. (11 September 2003), pp. 991-1004.</i><br /><br />We examined the encoding and decoding of odor identity and intensity by neurons in the antennal lobe and the mushroom body, first and second relays, respectively, of the locust olfactory system. Increased odor concentration led to changes in the firing patterns of individual antennal lobe projection neurons (PNs), similar to those caused by changes in odor identity, thus potentially confounding representations for identity and concentration. However, when these time-varying responses were examined across many PNs, concentration-specific patterns clustered by identity, resolving the apparent confound. This is because PN ensemble representations changed relatively continuously over a range of concentrations of each odorant. The PNs' targets in the mushroom body-Kenyon cells (KCs)-had sparse identity-specific responses with diverse degrees of concentration invariance. The tuning of KCs to identity and concentration and the patterning of their responses are consistent with piecewise decoding of their PN inputs over oscillation-cycle length epochs. Intensity versus identity coding in an olfactory system. M Stopfer V Jayaraman G Laurent Neuron, Vol. 39, No. 6. (11 September 2003), pp. 991-1004. 2005-09-07T19:53:21-00:00 2003 Neuron 0896-6273 39 6 991 1004 encoding insects olfactory http://www.citeulike.org/user/nelmor/article/1832294 <i>Proceedings: Biological Sciences, Vol. 266, No. 1423. (1999), pp. 1001-1012.</i><br /><br />Is the information transmitted by an ensemble of neurons determined solely by the number of spikes fired by each cell, or do correlations in the emission of action potentials also play a significant role? We derive a simple formula which enables this question to be answered rigorously for short time-scales. The formula quantifies the corrections to the instantaneous information rate which result from correlations in spike emission between pairs of neurons. The mutual information that the ensemble of neurons conveys about external stimuli can thus be broken down into firing rate and correlation components. This analysis provides fundamental constraints upon the nature of information coding, showing that over short time-scales correlations cannot dominate information representation, that stimulus-independent correlations may lead to synergy (where the neurons together convey more information than they would if they were considered independently), but that only certain combinations of the different sources of correlation result in significant synergy rather than in redundancy or in negligible effects. This analysis leads to a new quantification procedure which is directly applicable to simultaneous multiple neuron recordings. Correlations and the Encoding of Information in the Nervous System Stefano Panzeri Simon Schultz Alessandro Treves Edmund Rolls Proceedings: Biological Sciences, Vol. 266, No. 1423. (1999), pp. 1001-1012. 2007-10-28T14:40:34-00:00 1999 Proceedings: Biological Sciences 266 1423 1001 1012 analysis decoding encoding information-theory http://www.citeulike.org/user/nelmor/article/90455 <i>Nat Rev Neurosci, Vol. 1, No. 2. (November 2000), pp. 125-132.</i><br /><br />Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of population codes for encoding and decoding information, and consider how population codes can be used to support neural computations such as noise removal and nonlinear mapping. More radical ideas about how population codes may directly represent information about stimulus uncertainty are also discussed. Information processing with population codes. A Pouget P Dayan R Zemel Nat Rev Neurosci, Vol. 1, No. 2. (November 2000), pp. 125-132. 2005-02-08T22:40:49-00:00 2000 Nat Rev Neurosci 1471-003X 1 2 125 132 decoding encoding population review theory