Connectionist research is firmly established within the scientific community, especially within
the multi-disciplinary field of cognitive science. This diversity, however, has created an …

Some regularities enjoy only an attenuated existence in a body of training data. These are
regularities whose statistical visibility depends on some systematic recoding of the data. The …

Cognitive science arose in the 1950s when it became apparent that a number of disciplines,
including psychology, computer science, linguistics, and philosophy, were fragmenting …

Minds and Machines: Connectionism and Psychological Modeling examines different kinds
of models and investigates some of the basic properties of connectionism in the context of …

The TNM staging system has been used since the early 1960's to predict breast cancer
patient outcome. In an attempt to in (cid: 173) crease prognostic accuracy, many putative …

A particular backpropagation network, called a network of value units, was trained to detect
problem type and validity of a set of logic problems. This network differs from standard …

Artificial neural networks loosely mimic the complex web of nearly 100 trillion connections in
the human brain. Deep neural networks, and specifically convolutional neural networks …

The reliability of feedforward neural networks with respect to the rejection of patterns not
belonging to the defined training classes is investigated. It is shown how networks with …

Wireless Sensor Networks (WSNs), the major technique in the sensing layer of Internet of
Things. Because the WSN is extensively regarded as a data-centric network, more and more …

Connectionism is a" hands on" introduction to connectionist modeling through practical
exercises in different types of connectionist architectures. explores three different types of …