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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The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.