We present two ways in which measures of information can be used for the design and analysis of neural networks in both the brain and the computer. In the brain, stimulus is often represented as a distributed pattern of activity in a network of neurons. The quality of such population...
Classical conditioning is a form of associative learning and can be used as a behavioral paradigm to model and investigate the neural mechanisms underlying associative learning. In this work, classical conditioning paradigms are used to test the effectiveness of a disease model on the impact of learning and emotional regulation...
Slow-wave sleep (SWS) is important for overall health since it affects many physiological pathways from cardio-metabolic health to cognitive function. Sleep and autonomic nervous system (ANS) functioning are closely coupled at anatomical and physiological levels. Sleep-related changes in ANS function are likely the main pathway through which SWS affects many...
Rhythmic fluctuations of electrical activity in the brain provide insights into the proposed mechanism by which we encode experiences and then maintain, forget, modify, and retrieve them. Yet there is still much to learn about how neural oscillations relate to memory function. The purpose of this research is to discover...