Pain is a salient and complex sensory experience with important affective and cognitive
dimensions. The current definition of pain relies on subjective reports in both humans and …

Pain is known to have sensory and affective components. The sensory pain component is
encoded by neurons in the primary somatosensory cortex (S1), whereas the emotional or …

Pain is a dynamic, complex and multidimensional experience. The identification of pain from
brain activity as neural readout may effectively provide a neural code for pain, and further …

Pain is a complex sensory and affective experience. Through its anticipation, animals can
learn to avoid pain. Much is known about passive avoidance during a painful event; …

Sequential change-point detection from time series data is a common problem in many
neuroscience applications, such as seizure detection, anomaly detection, and pain …

Brain-machine interfaces (BMIs) have been widely used to study basic and translational
neuroscience questions. In real-time closed-loop neuroscience experiments, many practical …

In recent years, brain machine interfaces have attracted accumulating interest with goals to
map, assist, augment or repair the cognitive or sensory-motor functions of human and …

Acute pain is triggered by noxious stimuli that induce changes in neural responses of
specific neural circuits at both single neuron and population levels. Detecting acute pain …

A fundamental task in neural data analysis is to discover the regularity or structure of
measured (potentially high-dimensional) neural data. Measurements of neural activity …

NEW & NOTEWORTHY Sequential change-point detection is an important problem 38 in
closed-loop neuroscience experiments. This study proposes novel sequential Monte Carlo …