Population Coding of natural sounds
Zusammenfassung der Projektergebnisse
The work funded by this grant consists of a number of experimental and computational projects that have advanced our understanding of how the mammalian brain processes complex sounds. We have learned 1) how the processing of binaural sound features is enhanced at successive stages in the brain, 2) how the brain adapts differently to changes in monaural and binaural sound features, 3) how the processing of binaural sound features differs between mammals and birds, and 4) how the processing of complex sounds changes with age. We have also developed a number of new analytical tools that will help us and others to make sense of the complex data provided by recordings from neuronal populations. We have developed 1) a genetic algorithm to optimize decoding of population activity, 2) a new model for population spike trains in which single cell properties such as spike rate and trial-to-trial variability can be manipulated independently of population properties such as noise correlations, and 3) an information-based method for measuring the functional connectivity between neurons that avoids many of the pitfalls associated with the correlation-based methods that are typically used. These new methods are essential in that they will allow neuronal populations to be analyzed as a concerted group rather than as a collection of individuals operating independently.
Projektbezogene Publikationen (Auswahl)
- (2010). Enhanced coding of interaural time differences at successive stages in the auditory pathway. J. Neurophysiol. 103(1):38-46
M. Pecka, I. Siveke, B. Grothe, and N. A. Lesica
- (2010). Population coding of interaural time differences in gerbils and barn owls. J Neurosci. 30(35), 11696-11702
N. A. Lesica, A. Lingner, and B. Grothe
- (2011). Impaired Auditory Temporal Selectivity in the Inferior Colliculus of Aged Mongolian Gerbils. J Neurosci. 31(27), 9958-9970
L. Khouri, N. A. Lesica, and B. Grothe
- (2011). The effects of interaural time difference and intensity on the coding of low frequency sounds in the mammalian midbrain. J Neurosci. 31(10), 3821-3827
D. Horvath and N. A. Lesica
- (2012). Analysis and modelling of variability and covariability of population spike trains across multiple time scales. Network. 23(1-2):76-103
D. R. Lyamzin, J. A. Garcia-Lazaro, and N. A. Lesica
(Siehe online unter https://doi.org/10.3109/0954898X.2012.679334)
