Jacqueline Crawley is professor emeritus of psychiatry and behavioral sciences at the University of California, Davis.
Jacqueline Crawley
Professor
University of California, Davis
From this contributor
Optimizing behavioral assays for mouse models of autism
As the number of autism rodent models climbs, it is a good time for the field to step back and consider the best practices for assessing autism-like symptoms in rodents, says Jacqueline Crawley.

Optimizing behavioral assays for mouse models of autism
Transparent reports
New standards for animal studies, including an emphasis on replicating results and the publication of negative findings, are vital for research progress, says Jacqueline Crawley.
Promises and limitations of mouse models of autism
Good mouse models of autism, and accurate tests to assay their phenotypes, are key to both narrowing down a cause and developing effective treatments, argues expert Jacqueline Crawley.

Promises and limitations of mouse models of autism
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Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.

Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.

Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.

This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.