Meng-Chuan Lai is associate professor of psychiatry at the University of Toronto in Canada.
Meng-Chuan Lai
Assistant professor
University of Toronto
From this contributor
Quashing sex bias in autism research calls for participant rainbow
Autism researchers must attend to the need for sex and gender diversity in study design as a rule rather than as an exception.
Quashing sex bias in autism research calls for participant rainbow
Brains of girls, boys may mark distinct paths to autism
Differences between the brains of men and women with autism may help explain why men are more susceptible to the condition and women appear to be protected from it.
Brains of girls, boys may mark distinct paths to autism
Mind the gender gap
Autism may be male-biased in prevalence, but our understanding of it should not be, argues Meng-Chuan Lai.
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New tissue-clearing techniques let microscopes peer deeper into living brains
Washing mouse brain tissue with a blood protein or complex sugar can illuminate cells 550 micrometers into the cortex without compromising its normal physiology.
New tissue-clearing techniques let microscopes peer deeper into living brains
Washing mouse brain tissue with a blood protein or complex sugar can illuminate cells 550 micrometers into the cortex without compromising its normal physiology.
New catalog charts familial ties from autism to 90 other conditions
The research tool reveals associations stretching across three generations.
New catalog charts familial ties from autism to 90 other conditions
The research tool reveals associations stretching across three generations.
This paper changed my life: ‘Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment,’ from the Fiser Lab
Fiser’s work taught me how to think about grounding computational models in biologically plausible implementations.
This paper changed my life: ‘Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment,’ from the Fiser Lab
Fiser’s work taught me how to think about grounding computational models in biologically plausible implementations.