Recent studies show that scalp electroencephalography (EEG) as a non-invasive interface has great potential for brain-computer interfaces (BCIs). However, one factor limited practical applications EEG-based BCI so far is the difficulty to decode brain signals in reliable and efficient way. This paper proposes new robust processing framework decoding of multi-class motor imagery (MI) based on five main steps. (i) Raw EEG segmentation without need visual artifact inspection. (ii) Considering...

The brain makes use of noisy sensory inputs to produce eye, head, or arm motion. In most instances, the combines this information with predictions about future events. Here, we propose that Kalman filtering can account for dynamics both visually guided and predictive motor behaviors within one simple unifying mechanism. Our model relies on two filters: (1) processing visual retinal input; (2) maintaining a dynamic internal memory target outputs filters are then combined in statistically...

Large high-quality datasets of human body shape and kinematics lay the foundation for modelling simulation approaches in computer vision, graphics, biomechanics. Creating that combine naturalistic recordings with high-accuracy data about ground truth pose is challenging because different motion recording systems are either optimized one or other. We address this issue our dataset by using hardware to record partially overlapping information synchronized lend themselves transfer learning....

When tracking moving visual stimuli, primates orient their axis by combining two kinds of eye movements, smooth pursuit and saccades, that have very different dynamics. Yet, the mechanisms govern decision to switch from one type movement other are still poorly understood, even though they could bring a significant contribution understanding how CNS combines control strategies achieve common motor sensory goal. In this study, we investigated oculomotor responses large range combinations...

Over the last decade, computer science has made progress towards extracting body pose from single camera photographs or videos. This promises to enable movement detect disease, quantify performance, and take out of lab into real world. However, current tracking algorithms fall short needs science; types data that matter are poorly estimated. For instance, metrics currently used for evaluating use noisy hand-labeled ground truth do not prioritize precision relevant variables like...

Spontaneous eye blinking is gaining popularity as a proxy for higher cognitive functions, it readily modulated by both environmental demands and internal processes. Prior studies were impoverished in sample size, sex representation, age distribution, making difficult to establish complete picture of the behavior. Here we present eye-tracking data from large cohort normative participants ( n = 604; 393 F; aged 5–93 years) performing two tasks: one with structured, discrete trials (interleaved...

A fundamental question in neuroscience is how the brain transforms visual signals into accurate three-dimensional (3-D) reach commands, but surprisingly this has never been formally modeled. Here, we developed such a model and tested its predictions experimentally humans. Our visuomotor transformation used information about current hand desired target positions to compute (gaze-centered) movement vector. It then transformed these eye-centered plans shoulder-centered motor using extraretinal...

To explore the possible cortical mechanisms underlying 3-dimensional (3D) visuomotor transformation for reaching, we trained a 4-layer feed-forward artificial neural network to compute reach vector (output) from visual positions of both hand and target viewed different eye head orientations (inputs). The emergent properties intermediate layers reflected several known neurophysiological findings, example, gain field–like modulations position-dependent shifting receptive fields (RFs). We...

In behavioral neuroscience, many experiments are developed in 1 or 2 spatial dimensions, but when scientists tackle problems 3-dimensions (3D), they often face new challenges. Results obtained for lower dimensions not always extendable 3D. motor planning of eye, gaze arm movements, sensorimotor transformation problems, the 3D kinematics external (stimuli) internal (body parts) must be considered: how to describe position and orientation these objects link them together? We motors (dual...

Abstract Pupil responses are commonly used to provide insight into visual perception, autonomic control, cognition, and various brain disorders. However, making inferences from pupil data can be complicated by nonlinearities in dynamics variability within across individuals, which challenge the assumptions of linearity or group-level homogeneity required for common analysis methods. In this study, we evaluated luminance evoked young healthy adults (n = 10, M:F 5:5, ages 19–25 years)...

Predictions are combined with sensory information when making choices. Accumulator models have conceptualized predictions as trial-by-trial updates to a baseline evidence level. These been successful in explaining the influence of choice history across-trials, however they do not account for how is transformed into evidence. Here, we derive gated accumulator that onset accumulation combination delayed and prediction timing. To test delays interact predictions, designed free saccade task...

During reach planning, we integrate multiple senses to estimate the location of hand and target, which is used generate a movement. Visual proprioceptive information are combined determine hand. The goal this study was investigate whether multi-sensory integration affected by extraretinal signals, such as head roll. It believed that coordinate matching transformation required before vision proprioception can be because visual sensory reference frames do not generally align. This utilizes...

When interacting with our environment we generally make use of egocentric and allocentric object information by coding positions relative to the observer or environment, respectively. Bayesian theories suggest that brain integrates both sources optimally for perception action. However, experimental evidence integration is sparse has only been studied using abstract stimuli lacking ecological relevance. Here, investigated during memory-guided reaching images naturalistic scenes. Participants...

Abstract This study analyzes how human participants combine saccadic and pursuit gaze movements when they track an oscillating target moving along a randomly oriented straight line with the head free to move. We found that appropriately, triggered more saccades increasing oscillation frequency compensate for imperfect tracking gains. Our sinusoidal paradigm allowed us show saccade amplitude was better correlated internal estimates of position velocity error at onset than those parameters 100...

The cortical mechanisms for reach have been studied extensively, but directionally selective visuospatial target memory, movement planning, and execution not clearly differentiated in the human. We used an event-related fMRI design with a memory delay, followed by pro-/anti-reach instruction, planning finally "go" instruction movement. This sequence yielded temporally separable preparatory responses that expanded from modest parieto-frontal activation visual to broad...

Oculomotor behaviors integrate sensory and prior information to overcome sensory-motor delays noise. After much debate about this process, reliability-based integration has recently been proposed several models of smooth pursuit now include recurrent Bayesian or Kalman filtering. However, there is a lack behavioral evidence in humans supporting these theoretical predictions. Here, we independently manipulated the reliability visual task. Our results show that both eye velocity catch-up...

Abstract Within neuroscience, models have many roles, including driving hypotheses, making assumptions explicit, synthesizing knowledge, experimental predictions, and facilitating applications to medicine. While specific modeling techniques are often taught, the process of constructing for a given phenomenon or question is generally left opaque. Here, informed by guiding students through exercises at our summer school in CoSMo (Computational Sensory-Motor Neuroscience), we provide practical...

When objects move in our environment, the orientation of visual axis space requires coordination two types eye movements: saccades and smooth pursuit. The principal input to saccadic system is position error, whereas it velocity error for pursuit system. Recently, has been shown that catch-up moving targets are triggered programmed by using addition error. Here, we show that, when a target flashed during ongoing pursuit, evokes movement toward flash. this evoked proportional flash; neither...

A sensorimotor neuron's receptive field and its frame of reference are easily conflated within the natural variability spatial behavior. Here, we capitalized on such variations in 3-D eye head positions during head-unrestrained gaze shifts to visual targets two monkeys: determine whether intermediate/deep layer superior colliculus (SC) fields code or kinematics, four different frames reference. Visuomotor were either characterized from a central fixation position (32 U) partially each three...

Forensic electroencephalogram (EEG)-based lie detection has recently begun using the concealed information test (CIT) as a potentially more robust alternative to classical comparative questions test. The main problem with CIT is that it requires an objective and fast decision algorithm under constraint of limited available information. In this study, we developed simple feasible hierarchical knowledge base construction method for efficient based on EEG measures. We describe how feature space...