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brain computer PhD Projects, Programmes & Scholarships
We have 39 brain computer PhD Projects, Programmes & Scholarships
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Machine learning for affective manipulation in music brain computer interfaces
At the University of Reading, we have created one of the first music brain computer interfaces (BCI). Read more
Using Brain Computer Interface to Improve Cognitive Performance
Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more
Interbrain dynamical functions for anticipating synchronisation under mutual interactions
How can we communicate with other members of society and synchronise our motion in real-time? Crucial to a sense of communication is the ability to entrain perceptually with other members of society, i.e., to be able to follow and to lead, while maintaining individual autonomy. Read more
Development of a collaborative robot – human-robot collaboration
Robots work effectively in factories. For example, in car factories, huge robotic arms pick up car parts and join them to the skeleton of the car, working at less than millimetre and millisecond precision. Read more
Advanced brain-computer interface
A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more
Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
Research Group:
Intelligent Systems and Nanoscience
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more
Animats - neural culture-controlled robots for closed-loop neuroscience
The project will continue research started at the University of Reading on animats - robotic platforms controlled in real time by activity of biological neuron cultures - and will investigate the methods for implementing efficient conditioning protocols. Read more
Deriving functional neurons from hIPSCs
Neuronal networks grown on petri dishes encode information as electrical activity. This activity is dictated by their underlying structural and functional connectivity. Read more
Lifetime prediction of implanted electronics operating at increased relative humidity
Applications are invited for the fully funded 3,5 years full-time PhD studentship (including home tuition fees, annual stipend and consumables) starting on 1st October 2022. Read more
PhD Studentship (UCL Computer Science): Physiological computing-powered Accessible and Assistive Technology
Outstanding students are invited to apply for a fully funded PhD studentship in the department of Computer Science at UCL. Start Date. Read more
Brain Decoding Models across Subjects
A brain decoding model aims at predicting what sensory stimulus is received (e.g. visual stimuli, different images), which mental state is experienced (i.e. Read more
Emotion detection from brain activity
The purpose of this research project is to investigate the emotion mechanism in the human brain. Firstly, human brain architecture will be studied and a 3D model of the brain will be developed. Read more
Data integration and hypothesis testing for brain tumour multi-omics data
This project aims to develop computational and statistical methods for the integrated learning of biological networks from multiple sources to further our understanding of Glioblastoma Multiforme (GBM), a highly aggressive primary brain tumour for which there is currently no cure. Read more
Detecting Pilots’ Cognitive Overload From their Brain Signals
Fighter pilots experience high cognitive loads (termed “cognitive overload”) because of complex, multimodal and time sensitive information environments. Read more
Data Analytics for Steady-State Visual Evoked Potential-based Brain-Computer Interface
Research Group:
School of Electronic & Electrical Engineering
Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI) which enables paralyzed people to directly communicate with and control of external devices, due to its portability, high temporal resolution, ease of use and low cost. Read more