VSImG: A high frame rate bitmap based display system for neuroscience research


Autoria(s): ALMEIDA, Lirio Onofre Baptista de; SLAETS, Jan Frans Willem; KOBERLE, Roland
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2011

Resumo

This paper describes a visual stimulus generator (VSImG) capable of displaying a gray-scale, 256 x 256 x 8 bitmap image with a frame rate of 500 Hz using a boustrophedonic scanning technique. It is designed for experiments with motion-sensitive neurons of the fly`s visual system, where the flicker fusion frequency of the photoreceptors can reach up to 500 Hz. Devices with such a high frame rate are not commercially available, but are required, if sensory systems with high flicker fusion frequency are to be studied. The implemented hardware approach gives us complete real-time control of the displacement sequence and provides all the signals needed to drive an electrostatic deflection display. With the use of analog signals, very small high-resolution displacements, not limited by the image`s pixel size can be obtained. Very slow image displacements with visually imperceptible steps can also be generated. This can be of interest for other vision research experiments. Two different stimulus files can be used simultaneously, allowing the system to generate X-Y displacements on one display or independent movements on two displays as long as they share the same bitmap image. (C) 2011 Elsevier B.V. All rights reserved.

Fundacao de Amparo a Pesquisa do Estado de Sao Paulo-FAPESP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Identificador

NEUROCOMPUTING, v.74, n.10, p.1762-1768, 2011

0925-2312

http://producao.usp.br/handle/BDPI/29992

10.1016/j.neucom.2011.02.016

http://dx.doi.org/10.1016/j.neucom.2011.02.016

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Neurocomputing

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #Visual stimulus generation #Electrostatic deflection displays #Real-time control #High frame rate display #Neuroscience #OPTIC FLOW #NEURON #INTEGRATION #TIME #Computer Science, Artificial Intelligence
Tipo

article

original article

publishedVersion