Ó The Author(s) 2010. This article is published with open access at Springerlink.com Abstract This study describes cytoarchitectonic criteria to define the prefrontal cortical areas in the mouse brain (C57BL/6 strain). Currently, well-illustrated mouse brain stereotaxic atlases are available, which

Problems with SOMs A Kohonen SOM is very limited as a model of cortical function: • Picking one winner is valid only for a very small patch with very strong lateral inhibition. • Full connectivity is possible only for very small cortical networks. • Lateral interactions are forced to be isotropic

between dorsal thalamus with primary and

Background. The cortical representation of the visual field is split along the vertical midline, with the left and the right hemifields projecting to separate hemispheres. Connections between the visual areas of the two hemispheres are abundant near the representation of the visual midline

In recent years, many new cortical areas have been identified in the macaque monkey. The number of identified connections between areas has increased even more dramatically. We report here on (1) a summary of the layout of cortical areas associated with vision and with other modalities, (2) a

processing of different object categories involves

of cortical function, and (2) higher-level, abstract (linguistic) facilities versus lower-level, less abstract, sensorimotor functions. In the following sections, we first briefly consider the history of ideas about cortical areas rehearsing debates about those two issues. Second, we present the current

Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical

The surface of the human cerebral cortex is a highly folded sheet with the majority of its surface area buried within folds. As such, it is a difficult domain for computational as well as visualization purposes. We have therefore designed a set of procedures for modifying the representation

Abstract-Image processing requires free access to information about all parts of an image. but a nerve cell in VI can only interact directly with a tiny fraction of the other cells in VI. The problem this poses might be alleviated by forming secondary “neural images ” in which information is re-arranged, and some possible rules of projection for forming such images are explored. It is also suggested that all parts ol the cerebral cortex detect, and subsequently signal. suspicious coincidences in their inputs. Acqmring knowledge of the associative structure of sensory messages, in the form of the unexpected coincidences that occur, may represent the beginning of the formation of a working model, or cognitive map. of the environment. Visual cortex Image-processing Computer-vision Segregation Mapping Flow-lield Neural images