The ability to identify directional interactions that occur among multiple neurons in the brain
is crucial to an understanding of how groups of neurons cooperate in order to generate …

We have recently developed a closed-loop environment in which we can test the ability of
primates to control the motion of a virtual device using ensembles of simultaneously …

Skill learning may be based on integrating and adapting movement building blocks
organized in the CNS. We examined at what level integration and adaptation occur during …

During the past decade, numerous studies have demonstrated stimulus-specific
synchronization of neuronal activity in the γ-frequency range. However, it appears that the …

Microendoscopic calcium imaging with one-photon miniature microscopes enables
unprecedented readout of neural circuit dynamics during active behavior in rodents. In this …

When designing neuroprosthetic interfaces for motor function, it is crucial to have a system
that can extract reliable information from available neural signals and produce an output …

We assessed the ability of two algorithms to predict hand kinematics from neural activity as a
function of the amount of data used to determine the algorithm parameters. Using chronically …

Enactive approaches to intentionality and consciousness propose that such mental
processes as feeling, representation, and consciousness, including perceptual …

Neuromotor prostheses are a type of brain-machine interface (BMI) that seek to extract
signals from the central or peripheral nervous system and deliver them to control devices. A …

The nature of consciousness and the relationship between the mind and brain have become
the most hotly debated topics in philosophy. This book explains and argues for a new …