Attentional Gain Modulation as a Basis for Translation Invariance

Abstract

Computational neuroscience complements traditional neuroscience techniques, permitting the integration of large amounts of information as it becomes available through automated discovery, providing data on genome, proteome, connectome, etc. Computational neuroscience connects levels, enabling explanatory chains proceeding from the pharmacological realm of chemical interactions up to the behavioral and cognitive realms of disease expression. One focus of study is the single neuron, where considerable progress has been made in developing moderately realistic models. Another focus is neuronal networks, used to study oscillations that are characteristic of brain activity, and often deranged pathophysiologically.