Monte Carlo methods for localization of cones given multielectrode retinal ganglion cell recordings.
Network
; 24(1): 27-51, 2013.
Article
em En
| MEDLINE
| ID: mdl-23194406
ABSTRACT
It has recently become possible to identify cone photoreceptors in primate retina from multi-electrode recordings of ganglion cell spiking driven by visual stimuli of sufficiently high spatial resolution. In this paper we present a statistical approach to the problem of identifying the number, locations, and color types of the cones observed in this type of experiment. We develop an adaptive Markov Chain Monte Carlo (MCMC) method that explores the space of cone configurations, using a Linear-Nonlinear-Poisson (LNP) encoding model of ganglion cell spiking output, while analytically integrating out the functional weights between cones and ganglion cells. This method provides information about our posterior certainty about the inferred cone properties, and additionally leads to improvements in both the speed and quality of the inferred cone maps, compared to earlier "greedy" computational approaches.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Células Ganglionares da Retina
/
Método de Monte Carlo
/
Células Fotorreceptoras Retinianas Cones
Tipo de estudo:
Health_economic_evaluation
Limite:
Animals
Idioma:
En
Revista:
Network
Ano de publicação:
2013
Tipo de documento:
Article