IN the last several decades great progress has been made in describing how the separate
systems of the brain function. Less progress has been made in obtaining a global picture of …

Churchland and Sejnowski address the foundational ideas of the emerging field of
computational neuroscience, examine a diverse range of neural network models, and …

As computational neuroscience in particular and computational biology in general continue
to expand, simulator flexibility and adaptability will be increasingly important. Unfortunately …

There are many theories of how behavior may be controlled by neurons. Testing and
refining these theories would be greatly facilitated if we could correctly simulate an entire …

Embodied Models and Neurorobotics Page 1 This is a repository copy of Embodied Models
and Neurorobotics. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/130868 …

Designed primarily as an introduction to realistic modeling methods, Computational
Neuroscience: Realistic Modeling for Experimentalists focuses on methodological …

We describe the general design, operating principles, and performance of a neurally
organized, multiply adaptive device (NOMAD) under control of a nervous system simulated …

Experiments that take advantage of head-fixed behavioral tasks have been a staple of
systems neuroscience research for half a century. More recently, rodents came to the …

Considering the experimental study of systemic models of the brain as a whole (in contrast
to models of one brain area or aspect), there is a real need for tools designed to realistically …

Abstract" A Hybrid Neuromorphic/AI Socially Interactive Robotic Sentry" is an ongoing
project that was proposed by Goodman Brain Computation Lab, University of Nevada, Reno …