This book comprises essays honoring the life and work of Yiu Sing Lucas Chan, S.J., who died unexpectedly on May 19, 2015, at the end of his first year as a member of the faculty in the Department of Theology at Marquette University. The editors intend to commemorate Chan's brief but productive career by furthering the critical conversations he started. The essays included thus touch on aspects of the brilliant young Jesuit's wide-ranging work in the fields of scriptural research, moral theology, and systematic theology. Each essay either engages Chan's scholarship directly or seeks to advance his design to bridge the disciplinary gaps between scriptural research and constructive theology. This book includes contributions by noted Roman Catholic theologians James F. Keenan, S.J., Bryan N. Massingale, and John R. Donohue, S.J., as well as two original poems by his Marquette colleagues dedicated to Lucas.

Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.
- Includes contributions by some of the most influential people in the field of computational neuroscience
- Demonstrates how computational approaches are being used today to interpret experimental data
- Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning