No theory has explained clearly the properties of the secondary visual area, which is considered to be an important part of the primate visual system. We have developed a new theory in which the secondary visual area may acquire complex computational capabilities by learning the statistical properties of natural images that are normally projected onto the eyes. Our study takes an important step toward understanding of the entire visual system and may advance technologies of artificial intelligence.
Research Area “Deconding and Controlling Brain Information” Research Theme “Computational models of visual cortex and decoding of cognitive information from higher visual areas”
Hosoya H and Hyvärinen A. “A Hierarchical Statistical Model of Natural Images Explains Tuning Properties in V2”. The Journal of Neuroscience 2015, 35:10412–10428, Published online 22 July 2015, doi: 10.1523/JNEUROSCI.5152-14.2015.
Haruo Hosoya, Ph.D.
Researcher, Computational Neuroscience Laboratories, ATR International
Koji Matsuo, Tetsu Kawaguchi,and Hideaki Inada
Life Innovation Group, Department of Innovation Research, JST