Objective. Detection and early prediction of mental fatigue (ie shifts in vigilance), could be
used to adapt neuromodulation strategies to effectively treat patients suffering from brain …

The processing steps that lead up to a decision, ie, the transformation of sensory evidence
into motor output, are not fully understood. Here, we combine stereoEEG recordings from the …

Decoding of high temporal resolution, stimulus-evoked neurophysiological data is
increasingly used to test theories about how the brain processes information. However, a …

Objective. We consider the cross-subject decoding problem from local field potential (LFP)
signals, where training data collected from the prefrontal cortex (PFC) of a source subject is …

The amygdala responds to a large variety of socially and emotionally salient environmental
and interoceptive stimuli. The context in which these stimuli occur determines their social …

Non-parametric regression has been shown to be useful in extracting relevant features from
Local Field Potential (LFP) signals for decoding motor intentions. Yet, in many instances …

Objective. In this paper, we consider the problem of cross-subject decoding, where neural
activity data collected from the prefrontal cortex of a given subject (destination) is used to …

The primary somatosensory cortex (S1) is a region often targeted for input via
somatosensory neuroprosthesis as tactile and proprioception are represented in S1. How …

Nonparametric regression has proven to be successful in extracting features from limited
data in neurological applications. However, due to data scarcity, most brain-computer …

The entopallium is a high-level neural structure of the avian visual system that is related to
the processing of color-and shape-related information during target recognition. The …