A brain computer interface (BCI) framework uses computer algorithms to detect mental
activity patterns and manipulate external devices. Because of its simplicity and non …

Over the last several years, the use of machine learning (ML) in neuroscience has been
rapidly increasing. Here, we review ML's contributions, both realized and potential, across …

Highlights•In theory, priority maps may be used to guide saccades and covert
attention.•Brain areas LIP, FEF and SC have each been described as a priority map.•We …

Neuroscience has long focused on finding encoding models that effectively ask “what
predicts neural spiking?” and generalized linear models (GLMs) are a typical approach. It is …

Prominent models of spike trains assume only one source of variability–stochastic (Poisson)
spiking–when stimuli and behavior are fixed. However, spike trains may also reflect …

Scene construction is a key component of memory recall, navigation, and future imagining,
and relies on the medial temporal lobes (MTL). A parallel body of work suggests that eye …

Objective To investigate the underlying functional network brain-activity changes in patients
with adult comitant exotropia strabismus (CES) and the relationship with clinical features …

Visual neurons respond more vigorously to an attended stimulus than an unattended one.
How the brain prepares for response gain in anticipation of that stimulus is not well …

When a saccade is expected to result in a reward, both neural activity in oculomotor areas
and the saccade itself (eg, its vigor and latency) are altered (compared with when no reward …

The mediodorsal nucleus of the thalamus (MDT) is one of the largest thalamic nuclei and is
a typical association nucleus, participating in several cortico-subcortical networks, primarily …