New technique for studying human brain activity

Summary

This project investigates stimulus reconstruction from surface EEG neural activity. Improvements to surface EEG recordings may proceed with the development of skull impedance modelling using impedance tomography and magnetic resonance imaging technology. We propose to investigate the influence of behaviour on stimulus reconstruction from EEG neural activity in primary auditory cortex.

Supervisor(s)

Associate Professor Craig Jin, Associate Professor Philip Leong, Dr Alistair McEwan

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

This leading research project explores improvements to surface EEG imaging using impedance tomography and magnetic resonance imaging. Stimulus reconstructions from neural EEG activity provide a means to investigate primary auditory cortex.

Additional Information

Successful candidates likely have a background in electrical engineering, computational neuroscience, or biomedical engineering.

http://www.ee.usyd.edu.au/carlab

Keywords

computational neuroscience, Brain imaging, EEGs, auditory neuroscience, stimulus reconstruction from neural activity, biomedical engineering, impedance tomography.

Opportunity ID

The opportunity ID for this research opportunity is: 1356

Other opportunities with Associate Professor Craig Jin

• Pattern analysis techniques for sound synthesis
• Interpolation of binaural impulse responses for virtual auditory displays
• Sound field recording and recreation
• Beamforming with acoustic vector sensors - Multiple acoustic source localisation using acoustic vector sensor arrays
• Speech separation and localisation using particle filtering
• Mapping 2D Images to 3D Shape
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• Binaural signal processing algorithms for hearing aids
• Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
• Impedance tomography for cardiac imaging: high speed tomography
• Medical diagnostics for neonates in the developing world
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Novel Electrodes for rapid electrophysiological recording

Other opportunities with Associate Professor Philip Leong

• other research opportunities available at Faculty of Engineering and Information Technologies
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Mapping 2D Images to 3D Shape
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• Medical diagnostics for neonates in the developing world
• Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
• Impedance tomography for cardiac imaging: high speed tomography
• Novel Electrodes for rapid electrophysiological recording
• Binaural signal processing algorithms for hearing aids

Other opportunities with Dr Alistair McEwan

• Medical diagnostics for neonates in the developing world
• Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
• Impedance tomography for cardiac imaging: high speed tomography
• Novel Electrodes for rapid electrophysiological recording
• Mapping 2D Images to 3D Shape
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Binaural signal processing algorithms for hearing aids