Visual categorization is thought to occur in the human ventral temporal cortex (VTC), but
how this categorization is achieved is still largely unknown. In this Review, we consider the …

The cognitive concept of representation plays a key role in theories of brain information
processing. However, linking neuronal activity to representational content and cognitive …

Deep learning as performed by artificial deep neural networks (DNNs) has achieved great
successes recently in many important areas that deal with text, images, videos, graphs, and …

Multi-step ahead forecasting is still an open challenge in time series forecasting. Several
approaches that deal with this complex problem have been proposed in the literature but an …

Though mathematical ideas underpin the study of neural networks, the author presents the
fundamentals without the full mathematical apparatus. All aspects of the field are tackled …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

A new method is presented for flexible regression modeling of high dimensional data. The
model takes the form of an expansion in product spline basis functions, where the number of …

The medieval curriculum comprised seven liberal arts, divided into the lower-level trivium
(grammar, logic, and rhetoric) and the upper-level quadrivium (geometry, astronomy …

This book introduces a new approach to the study of systems, living or artificial, that can
learn from experience, and in so doing it indicates a new focus of activity within Artificial …

A training algorithm that maximizes the margin between the training patterns and the
decision boundary is presented. The technique is applicable to a wide variety of the …