Machine learning for affective manipulation in music Brain Computer Interfaces
Prof S Nasuto, Dr F Hwang
Applications accepted all year round
"At the University of Reading we have created one of the first music Brain Computer Interfaces – a system that monitors the emotional states of the subject and as a result generates commands changing the nature of synthetically generated live music in order to drive the emotional state of the subject in the desired direction.
Toward Next generation of Brain Computer Interfaces
Dr M Arvaneh
Applications accepted all year round
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.
Wearable Robotics for Healthcare
Dr A Tzemanaki
Applications accepted all year round
Type of award. PhD Research Studentship. Department. Mechanical Engineering. Scholarship. Minimum £14,777 - £15,009 p.a. Duration.
Complex network control of stem cell derived cultures
Prof S Nasuto, Dr E Delivopoulos, Dr Y Hayashi
Applications accepted all year round
"In order to create a next generation of interfaces between prosthetic devices and the nervous system or to create next generation of intelligent robots – hybrids between artificial and biological systems, it is necessary to understand the principles that allow biological networks to achieve control of bodies.
Do dissociated neural networks dream of electric sheep?
Dr E Delivopoulos, Dr N Vasudevan, Prof S Nasuto
Applications accepted all year round
Neuronal networks grown on petri dishes encode information as electrical activity. This activity is dictated by their underlying structural and functional connectivity.
Intelligent estimation of the structural connectivity of neuronal cultures
Prof S Nasuto, Dr E Delivopoulos, Dr N Vasudevan
Applications accepted all year round
The vast majority of cognitive theories as well as computational neuroscience models are concentrating on the computational properties of neurons, circuits and systems, effectively reducing intelligence to disembodied information processing engine.
