Mathematics for machine learning

Real-World Human-Robot Collaborative Reinforcement Learning

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

Guidelines for reinforcement learning in healthcare

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

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

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

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

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

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

How body movements in a task predict visual attention dynamically

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

Towards high-resolution clinical digital biomarkers for Duchenne muscular dystrophy

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

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

Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions

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

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

Action Grammars: A Cognitive Model for Learning Temporal Abstractions

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

Natural gaze data driven wheelchair

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

Grammars of action in human behavior and evolution

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

Does internal metabolic state determine human motor coordination strategy?

Representation balancing mdps for off-policy policy evaluation

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

Evaluating reinforcement learning algorithms in observational health settings

A gaze-contingent intention decoding engine for human augmentation

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

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

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

The supernumerary robotic 3 rd thumb for skilled music tasks

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

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

Mechanomyography based closed-loop Functional Electrical Stimulation cycling system

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

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

Improving counterfactual reasoning with kernelised dynamic mixing models

Kinematic behavioural fingerprints in Duchenne muscular dystrophy and their clinical applications

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

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

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

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

Fundamental constraints on the evolution of neurons

Neurocognitive barriers to the embodiment of technology

Detecting knee osteoarthritis and its discriminating parameters using random forests

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

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

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

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

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

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

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

Computer science: visionary of virtual reality

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

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

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

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

Variability and Reliabiltiy in Axon Growth Cone Navigation Decision Making

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

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

Sparse Coding of Natural Human Motion Yields Eigenmotions Consistent Across People

Decoding of human hand actions to handle missing limbs in neuroprosthetics

Entropy measures of collective cell migration

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

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

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

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

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

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

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

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

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

Neurotechnology biomarkers in Friedreich's ataxia: 920

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

Embodied salience for gaze analysis in ecologically valid environments.

Deep convolutional neural networks for brain computer interface using motor imagery

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

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

Deja Vu: Classification of Memory Using Eye Movements

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

Mind meets machine

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

Brain Informatics and Health: 8th International Conference

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

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

Axonal noise as a source of synaptic variability

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

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

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

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

The complexity of human walking: a knee osteoarthritis study

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

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

Bayesian approach to handle missing limbs in Neuroprosthetics

Gaussian Process Regression for Hand Gesture Recognition and Neuroprosthetic Applications

EEG and Eye-Tracking Integration for Ocular Artefact Correction.

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

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

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

Towards automatically assessing osteoarthritis severity by regression trees \& SVMs

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

Large-Scale Extraction, Recognition and Prediction of Movement Primitives

Ultra low-cost 3D gaze estimation

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

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

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

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

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

Real-time movement prediction for improved control of neuroprosthetic devices

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”

Combining Markov Decision Processes with Linear Optimal Controllers

Noise in neurons and other constraints

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

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

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

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

Deriving motion primitives from naturalistic hand movements for neuroprosthetic control

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

How internal metabolic state changes motor coordination computations in reaching movements

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

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

The metabolic efficiency of myelinated vs unmyelinated axons

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

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

The structured variability of finger coordination in daily tasks

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

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

The manipulative complexity of Lower Paleolithic stone toolmaking

Stochastic simulation of neurons, axons and action potentials

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

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

Noise in the nervous system

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

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

Studying channelopathies at the functional level using a system identification approach

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