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Bio
Research summary
I am interested in how genes, brains, and experience interact during development to shape how we see and act on the world. How does the ability to detect meaningful patterns in our noisy sensory information become optimised during development? And how does the developing system learn to use this information for efficient action and decision-making? How are these processes affected by atypical development, and what is the scope for experience-dependent plasticity at the neural and behavioural level?
To study these questions, I take a multi-method approach that combines psychophysics, model-based analyses of behavioural data (e.g. fitting performance to mathematical ideal observer models), eye-tracking, EEG, and state-of the art fMRI methods (multivariate methods based in machine learning, model fitting to resolve neural population tuning-curves). A challenging but fun aspect of this research is to come up with ways in which these methods can be used to obtain precise and reliable measures from very young children and even infants.
I have done and continue to do my research in collaboration with Prof. Marty Sereno, Prof. Denis Mareschal, Prof. Annette Karmiloff-Smith, Dr. Marko Nardini, Prof. Larry Maloney, Dr. Andrew Welchman, Dr. Hiroshi Ban, Prof. Gary Rubin, Dr. Peter Jones, Dr. Sam Schwartzkopf, and Prof. Steven Scholte, amongst others.
I am interested in how genes, brains, and experience interact during development to shape how we see and act on the world. How does the ability to detect meaningful patterns in our noisy sensory information become optimised during development? And how does the developing system learn to use this information for efficient action and decision-making? How are these processes affected by atypical development, and what is the scope for experience-dependent plasticity at the neural and behavioural level?
To study these questions, I take a multi-method approach that combines psychophysics, model-based analyses of behavioural data (e.g. fitting performance to mathematical ideal observer models), eye-tracking, EEG, and state-of the art fMRI methods (multivariate methods based in machine learning, model fitting to resolve neural population tuning-curves). A challenging but fun aspect of this research is to come up with ways in which these methods can be used to obtain precise and reliable measures from very young children and even infants.
I have done and continue to do my research in collaboration with Prof. Marty Sereno, Prof. Denis Mareschal, Prof. Annette Karmiloff-Smith, Dr. Marko Nardini, Prof. Larry Maloney, Dr. Andrew Welchman, Dr. Hiroshi Ban, Prof. Gary Rubin, Dr. Peter Jones, Dr. Sam Schwartzkopf, and Prof. Steven Scholte, amongst others.
Research Interests
Papers共 67 篇Author StatisticsCo-AuthorSimilar Experts
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crossref(2024)
Brain Research Bulletin (2024): 111026-111026
Roni O. Maimon-Mor,Mahtab Farahbakhsh, Nicholas Hedger,Andrew T. Rider,Elaine J. Anderson,Geraint Rees, Tomas Knapen,Michel Michaelides,Tessa M. Dekker
biorxiv(2024)
Journal of Visionno. 9 (2023): 5135-5135
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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Author Statistics
#Papers: 67
#Citation: 611
H-Index: 13
G-Index: 24
Sociability: 5
Diversity: 0
Activity: 1
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