Grant: Discovery Grants Program - Individual
University of Western Ontario
$56,000.00
Decoding Mental States with fMRI and EEG
FY 2014-15
Summary
How can we ever know what another person is thinking? The notion that we might one day be able to convey our thoughts, without recourse to speech or action, has pre-occupied scientists, and science fiction writers, for decades. Many so-called 'brain computer interfaces' or 'thought-translation devices' have been tried and tested, but are frequently limited by their speed, accuracy, ease of use and extensive training requirements. Recent advances in neuroscience have suggested a number of new psychological, technological and statistical approaches to this problem. In this project, we will use three quite different technologies to develop new types of systems that take full advantage of these novel approaches for decoding mental thoughts. Parallel systems will be built using functional magnetic resonance imaging (fMRI), electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), and optimised in terms of the types of mental strategies that participants will be taught to convey their thoughts and the mathematical methods that will be used to interpret them. We will also investigate how training may help participants to improve performance and which of these methods can be deployed in real time. This research has far-reaching implications for understanding how mental representations, or 'thoughts', are coded in the brain and how these relate to behaviour. The results will also find new applications in multiple fields, including many that seek to develop novel methods for brain-controlled computing (e.g. the gaming industry, the military, human-computer interactions and lie-detection)
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
418550-2012
Name nom
Owen, Adrian
Department département
Psychology
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2012
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
6307
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Cognitive science -- other
Research subject fr
Science cognitive -- autres
Partie
3
Nb partie
5
Application title
Decoding Mental States with fMRI and EEG
Keyword
NSERC
Application summary
How can we ever know what another person is thinking? The notion that we might one day be able to convey our thoughts, without recourse to speech or action, has pre-occupied scientists, and science fiction writers, for decades. Many so-called 'brain computer interfaces' or 'thought-translation devices' have been tried and tested, but are frequently limited by their speed, accuracy, ease of use and extensive training requirements. Recent advances in neuroscience have suggested a number of new psychological, technological and statistical approaches to this problem. In this project, we will use three quite different technologies to develop new types of systems that take full advantage of these novel approaches for decoding mental thoughts. Parallel systems will be built using functional magnetic resonance imaging (fMRI), electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), and optimised in terms of the types of mental strategies that participants will be taught to convey their thoughts and the mathematical methods that will be used to interpret them. We will also investigate how training may help participants to improve performance and which of these methods can be deployed in real time. This research has far-reaching implications for understanding how mental representations, or 'thoughts', are coded in the brain and how these relate to behaviour. The results will also find new applications in multiple fields, including many that seek to develop novel methods for brain-controlled computing (e.g. the gaming industry, the military, human-computer interactions and lie-detection)