In covert visual attention, frontoparietal attention control areas are thought to issue signals to
selectively bias sensory neurons to facilitate behaviorally relevant information and suppress …

Various neuroscientific theories maintain that brain oscillations are important for neuronal
computation, but opposing views claim that these macroscale dynamics are 'exhaust fumes' …

Local field potential (LFP) is a valuable tool in understanding brain function and in brain
machine-interfacing applications. However, there is no consensus on the spatial extent of …

Statistical models are increasingly being used to understand the complexity of stimulus
selectivity in primary visual cortex (V1) in the context of complex time-varying stimuli …

Rapid eye movement sleep (REM) is believed to have a binary temporal structure with
“phasic” and “tonic” microstates, defined by motoric activity versus quiescence, respectively …

Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive
impairments in episodic and spatial memory, as well as circuit and network-level …

The study of the primary visual cortex (V1) holds profound significance for our understanding
of the neural underpinnings of visual perception. Computational models have emerged as …

Control of neural activity is a powerful tool for studying circuits in the brain. Although
optogenetics offers innovative approaches to achieve this in a cell-type specific manner with …

Methods and systems for providing neuromodulation to a patient are disclosed. The
disclosed methods and systems use sensed neural responses to construct and optimize …

Electrophysiological recordings such as human electroencephalogram (EEG) and monkey
local field potentials (LFP) are traditionally thought to be comprised of a deterministic event …