Neural Mechanisms of Visual Perception and Recognition
Main Lab Location:
CiNet (Main bldg.)
Professor, Osaka University Graduate School of Frontier Biosciences Adjunct Professor, Osaka University Facutly of Engineering Science Adjunct Professor, Osaka University Center for the Study of Communication-Design Adjunct Professor, Osaka University Institute of Social and Economic Research
1-4 Yamadaoka, Suita City Osaka, 565-0871
Research in my laboratory focuses on the neural mechanism of visual perception and recognition. I try to link activities of single or a population of neurons through the neural circuit to events in our/animal’s mind and behavior.
We live in a complex visual world, yet we can identify all the objects around us without a problem. If we consider the following, we can understand how truly remarkable this feat is. No retinal image can ever be reproduced exactly, because our visual world is forever changing from moment to moment. Retinal images change owing to many factors including changes in illumination and vantage point, or motion and articulation of objects. An object you look at may even be partially occluded by another object in front of it. The retinal image also lacks a large part of information along the depth direction. It is a 2-dimensional image, whereas the real and perceived world is 3-dimensional! The retinal image is thus changing, unpredictable, and imperfect in many ways, but based on visual information conveyed by the retina, our brain is able to perceive and recognize objects, people, and scenes veridically.
I am particularly interested in the computational process and neural architecture supporting binocular depth perception and object recognition. We take a multidisciplinary approach using electrical and optical imaging of neuronal activity, structural analysis of cortical architecture, psychophysics, and computational modeling.
Fujita I, Doi T (2016) Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth. Phil Trans R Soc B 20150257. doi: 10.1098./rstb.2015.0257
Wang QX, Tanigawa H, Fujita I (2016) Postnatal development of intrinsic horizonatal axons in macaque inferior temporal and primary visual cortices. Cerebral Cortex (in press) doi: 10.1093/cercor/bhw105
Abdolrahmani M, Doi T, Shiozaki HM, Fujita I (2016) Pooled, but not single-neuron, responses in macaque V4 represent a solution to the stereocorrespondence problem. J Neurophysiol 115: 1917-1931
Tanaka S, Fujita I (2015) Computation of object size in visual cortical area V4 as a neural basis for size constancy. J Neurosci 35: 12033-12046.