Instrumental behaviour is controlled by two systems: a stimulus–response habit mechanism
and a goal-directed process that involves two forms of learning. The first is learning about …

The authors draw together and develop previous timing models for a broad range of
conditioning phenomena to reveal their common conceptual foundations: First, conditioning …

Memory and the Computational Brain offers a provocative argument that goes to the heart of
neuroscience, proposing that the field can and should benefit from the recent advances of …

The purpose of this review is to bring to the attention of neuroscientists some of the current
thinking of psychologists who study learning processes from a behavioral perspective. The …

Study of the neurobiology of learning and memory is in a most exciting phase. Behavioral
studies in animals are characterizing the categories and properties of learning and memory; …

This chapter presents a new approach to neural modeling based on the idea of using an
automated method to optimize the parameters of a synaptic learning rule. The synaptic …

This update of the 1981 classic on neural networks includes new commentaries by the
authors that show how the original ideas are related to subsequent developments. As …

This paper explores the promise of simple adaptive networks as models of human learning.
The least-mean-squares (LMS) learning rule of networks corresponds to the Rescorla …

This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …

This new, completely revised edition of David A. Lieberman's highly respected text
combines... exposition of the logic underlying experimentation and theories with provocative …