The Marmoset Brain Architecture Project was initiated as a collaboration between the Laboratories of Marcello Rosa (Monash University) and Partha Mitra (CSHL). Data from the Monash Rosa laboratory is displayed on this portal together with the data gathered at the RIKEN Mitra G. laboratory.
Collaborators in Japan

Atsushi Iriki, D.D.S, Ph.D.

Tetsuo Yamamori, Ph.D.

Erika Sasaki, Ph.D.

Yoko Yamaguchi, Ph.D.

Noritaka Ichinohe, Ph.D.
International Collaborators

Prof. Marcello Rosa
His laboratory investigates the organisation of the cerebral cortex in mammals, with special emphasis on the visual system. There are many visual areas in the brain, but it is still unclear how neurones in these areas interact in order to create an internal representation of the "outside world".

A Prof. James Bourne
The primary focus of the group is the development and maturation of the cerebral cortex of primates and other mammals. The adult cerebral cortex is formed as a mosaic of interconnected areas, but how the multiple of areas emerge seamlessly during ontogenesis and establish connections with other brain areas has yet to be determined.

Prof. Paul Martin
His chief research interest is how colour, form, and motion in the visual world are processed in the retina and sent as distinct streams of information to the brain. These information streams are carried on evolutionary old and new pathways.

Prof. Angela Roberts
Interested in the brain networks underlying cognitive and emotional behaviour. In particular, her research focuses on the executive control functions of the prefrontal cortex and related brain structures, including the basal ganglia and the amygdala, and the modulation of these circuits by the monoamines.

Prof. Michael Miller
Research interests: Image Understanding and Computer Vision, Medical Imaging and Computational Anatomy and Computational Neuroscience

Dr. Jaikishan Jayakumar
Center for Computational Brain Research (CCBR), Department of Computer Science and Engineering

Keerthi Ram
Center for Computational Brain Research (CCBR), Department of Computer Science and Engineering