After more than twenty years busily mapping the human brain, what have we learned from
neuroimaging? This review (coda) considers this question from the point of view of structure …

Estimating the precision or uncertainty associated with sensory signals is an important part
of perception. Based on a previous computational model, we tested the hypothesis that …

There is a growing interest for using quantitative EEG and LORETA current source density in
clinical and research settings. Importantly, if these indices are to be employed in clinical …

Spatial learning and memory are important for navigation and formation of episodic
memories. The hippocampus and medial entorhinal cortex (MEC) are key brain areas for …

A laminar cortical model of stereopsis and 3D surface perception is developed and
simulated. The model shows how spiking neurons that interact in hierarchically organized …

Artificial neural networks increasingly involve spiking dynamics to permit greater
computational efficiency. This becomes especially attractive for on-chip implementation …

Baingio Pinna's article “New Gestalt principles of perceptual organization: An extension from
grouping to shape and meaning” won the 2009 Metzger Award of the Society for Gestalt …

The P300 is an endogenously evoked potential with amplitude and latency depending on
the amount of information carried by the stimulus rather than its physical characteristics. It …

The brain mechanism of extracting visual features for recognizing various objects has
consistently been a controversial issue in computational models of object recognition. To …

Many cortical networks contain recurrent architectures that transform input patterns before
storing them in short-term memory (STM). Theorems in the 1970's showed how feedback …