Real-World Human-Robot Collaborative Reinforcement Learning

Linear Embodied Saliency: a Model of Full-Body Kinematics-based Visual Attention

Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation

Mathematics for machine learning

Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions

A. Eye Drive: Gaze-based semi-autonomous wheelchair interface

Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions

Full-body behaviour analytics reveals DMD disease state within the first few steps of the 6-minute-walk test

Daily life digital biomarkers for longitudinal monitoring of Duchenne muscular dystrophy with wearable sensors

Towards high-resolution clinical digital biomarkers for Duchenne muscular dystrophy

The Embodied Semantic Fovea: Real-time understanding of what and how we look at things in-the-wild

How body movements in a task predict visual attention dynamically

Human visual attention prediction boosts learning & performance of autonomous driving agents

Aligning daily activities with personality: towards a recommender system for improving wellbeing

Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models

Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs

Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems

Guidelines for reinforcement learning in healthcare

Gaze-based, context-aware robotic system for assisted reaching and grasping

Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning

Action Grammars: A Cognitive Model for Learning Temporal Abstractions

Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos

Generalised structural cnns (scnns) for time series data with arbitrary graph-toplogies

Data-efficient Motor Imagery Decoding in Real-time for the Cybathlon Brain-Computer Interface Race

Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning

Deep Learning personalised, closed-loop Brain-Computer Interfaces for multi-way classification

Kinematic behavioural fingerprints in Duchenne muscular dystrophy and their clinical applications

Improving counterfactual reasoning with kernelised dynamic mixing models

The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care

Decomposing sensorimotor variability changes in ageing and their connection to falls in older people

Mechanomyography based closed-loop Functional Electrical Stimulation cycling system

Behaviour policy estimation in off-policy policy evaluation: Calibration matters

Semantic fovea: real-time annotation of ego-centric videos with gaze context

A gaze-contingent intention decoding engine for human augmentation

Evaluating reinforcement learning algorithms in observational health settings

The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making

Representation balancing mdps for off-policy policy evaluation

Does internal metabolic state determine human motor coordination strategy?

Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology

Grammars of action in human behavior and evolution

Convolutional neural network, personalised, closed-loop Brain-Computer Interfaces for multi-way control mode switching in real-time

Natural gaze data driven wheelchair

Compact convolutional neural networks for multi-class, personalised, closed-loop EEG-BCI

The supernumerary robotic 3 rd thumb for skilled music tasks

Fast orient: lightweight computer vision for wrist control in assistive robotic grasping

Neurocognitive barriers to the embodiment of technology

Fundamental constraints on the evolution of neurons

Gaussian process autoregression for simultaneous proportional multi-modal prosthetic control with natural hand kinematics

The automatic neuroscientist: Tailoring tACS using real-time fMRI and Bayesian optimization

Detecting knee osteoarthritis and its discriminating parameters using random forests

Computer science: visionary of virtual reality

The role of sensorimotor variability and computation in falls in the elderly

A clinical update on the eNHANCE project: Eye tracking control for reaching and grasping in an adolescent Duchenne muscular dystrophy (DMD) population

“Wink to grasp”—comparing eye, voice & EMG gesture control of grasp with soft-robotic gloves

Towards free 3D end-point control for robotic-assisted human reaching using binocular eye tracking

Calcium-activated SK channels control firing regularity by modulating sodium channel availability in midbrain dopamine neurons

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization

The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI

Supervised EEG ocular artefact correction through eye-tracking

An fMRI-Compatible System for 3DOF Motion Tracking of Objects in Haptic Motor Control Studies

Action Grammars-Extraction, recognition and prediction of movement primitives in tool-making

3D gaze cursor: Continuous calibration and end-point grasp control of robotic actuators

Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics

Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing \& drawing

Sparse eigenmotions derived from daily life kinematics implemented on a dextrous robotic hand

Ethohand: A dexterous robotic hand with ball-joint thumb enables complex in-hand object manipulation

Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off

A Markov Decision Process to suggest optimal treatment of severe infections in intensive care

System and method for drug delivery

Sparse Coding of Natural Human Motion Yields Eigenmotions Consistent Across People

Visualising patients' dynamics in the ICU and predicting mortality in real-time using big data

Towards a brain-derived neurofeedback framework for unsupervised personalisation of brain-computer interfaces

Dynamic forward prediction for prosthetic hand control by integration of EMG, MMG and kinematic signals

A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving

Towards an integrative spiking neuron model of motor control-from cortex \& basal ganglia to muscles \& sensory feedback

f2MOVE: fMRI-compatible haptic object manipulation system for closed-loop motor control studies

Entropy measures of collective cell migration

Decoding of human hand actions to handle missing limbs in neuroprosthetics

Brain Informatics and Health: 8th International Conference, BIH 2015, London, UK, August 30-September 2, 2015. Proceedings

Acquisition of Paleolithic toolmaking abilities involves structural remodeling to inferior frontoparietal regions

Sensory-motor system identification of active perception in ecologically valid environments

Non-linear dynamics in recurrently connected neural circuits implement Bayesian inference by sampling

Variability and Reliabiltiy in Axon Growth Cone Navigation Decision Making

Mind meets machine

Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization

Robotic psychophysics system for assessment, diagnosis and rehabilitation of the neurological causes of falls in the elderly

Kinematic body sensor networks and behaviourmetrics for objective efficacy measurements in neurodegenerative disease drug trials

Smartphone as an ultra-low cost medical tricorder for real-time cardiological measurements via ballistocardiography

Brain Informatics and Health: 8th International Conference

Deja Vu: Classification of Memory Using Eye Movements

Deep convolutional neural networks for brain computer interface using motor imagery

Embodied salience for gaze analysis in ecologically valid environments.

The emergence of decision boundaries is predicted by second order statistics of stimuli in visual categorization.

Neurotechnology biomarkers in Friedreich's ataxia: 920

Towards neurobehavioral biomarkers for longitudinal monitoring of neurodegeneration with wearable body sensor networks

Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets \& common spatial pattern algorithms

Haptic slam for context-aware robotic hand prosthetics-simultaneous inference of hand pose and object shape using particle filters

Towards sparse coding of natural movements for neuroprosthetics and brain-machine interfaces

Axonal noise as a source of synaptic variability

Deconstructing the value-based serial decision making process in Drosophila foraging

Developing a novel fmri-compatible motion tracking system for haptic motor control experiments

Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent

Prediction of arm end-point force using multi-channel mmg

Bayesian approach to handle missing limbs in Neuroprosthetics

The complexity of human walking: a knee osteoarthritis study

EEG and Eye-Tracking Integration for Ocular Artefact Correction.

Saltatory conduction in unmyelinated axons: clustering of Na+ channels on lipid rafts enables micro-saltatory conduction in C-fibers

Gaussian Process Regression for Hand Gesture Recognition and Neuroprosthetic Applications

A comparison of day-long recording stability and muscle force prediction between bsn-based mechanomyography and electromyography

Unsupervised time series segmentation for high-dimensional body sensor network data streams

Large-Scale Extraction, Recognition and Prediction of Movement Primitives

Embodied attention for gaze analysis in daily life activities

Large-field study of gaze based ultra low-cost, non-invasive task level BMI

Calibration of kinematic body sensor networks: Kinect-based gauging of data gloves “in the wild”

Real-time movement prediction for improved control of neuroprosthetic devices

Large-field study of ultra low-cost, non-invasive task level bmi

Robust, ultra low-cost mmg system with brain-machine-interface applications

Towards efficient, personalized anesthesia using continuous reinforcement learning for propofol infusion control

Wireless kinematic body sensor network for low-cost neurotechnology applications “in-the-wild”

The head mouse—Head gaze estimation" In-the-Wild" with low-cost inertial sensors for BMI use

Ultra low-cost 3D gaze estimation

The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas

Towards automatically assessing osteoarthritis severity by regression trees \& SVMs

Scaling-laws of human broadcast communication enable distinction between human, corporate and robot twitter users

The effect of cell size and channel density on neuronal information encoding and energy efficiency

Stochastic simulations reveal how clustering sodium ion channels in thin axons more than doubles the metabolic efficiency of action potentials

Human category learning is consistent with Bayesian generative but not discriminative classification strategies

Combining Markov Decision Processes with Linear Optimal Controllers

Hierarchical, heterogeneous control of non-linear dynamical systems using reinforcement learning

Ultra-low-cost 3D gaze estimation: an intuitive high information throughput compliment to direct brain--machine interfaces

How internal metabolic state changes motor coordination computations in reaching movements

Deriving motion primitives from naturalistic hand movements for neuroprosthetic control

What is the hierarchical representation of tasks involving objects with complex internal dynamics?

Using ultra-low cost 3D gaze tracking as an intuitive, non-invasive, high information throughput alternative to BMIs.

Noise in neurons and other constraints

The metabolic efficiency of myelinated vs unmyelinated axons

Sensory limits in the rodent whisker system predict an internal forward model for sensorimotor estimation of object touch

Does the cost function of human motor control depend on the internal metabolic state?

The structured variability of finger coordination in daily tasks

The implied exploration-exploitation trade-off in human motor learning

Ultra-low cost eyetracking as an high-information throughput alternative to BMIs

Serial decision-making and noise in the assembly of neural circuits

Genes for adaptation and learning spanning evolution: computational comparison between synaptic transmission and chemo-tactic signaling protein networks

The manipulative complexity of Lower Paleolithic stone toolmaking

Stochastic simulation of neurons, axons and action potentials

Analysis of decision making in an insect’s gapcrossing behavior using Markov models

Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task

Scaling relationships for neuronal circuit wiring set by noise and metabolic cost

Noise in the nervous system

Studying channelopathies at the functional level using a system identification approach

Stochastic simulations on the reliability of action potential propagation in thin axons

A simple method to simultaneously track the numbers of expressed channel proteins in a neuron

Ion-channel noise places limits on the miniaturization of the brain’s wiring

Principles of information processing under biophysical constraints

Effect of channel noise on the propagating AP wave form and its potential impact on synaptic transmission

How reliable is the connectivity in cortical neural networks?

Channel noise limits the minimum diameter of axons

Coordinated righting behaviour in locusts

Observation of human eye movements to simulate visual exploration of complex scenes