Somer Bishop is a clinical psychologist and professor in residence of psychiatry at the University of California, San Francisco.
Somer Bishop
Assistant professor
University of California, San Francisco
From this contributor
Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
Moving most clinical assessments online during the coronavirus pandemic has created a digital divide while closing some geographical ones, say Somer Bishop and Lonnie Zwaigenbaum.
Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
Questions for Bishop, Havdahl: Tantrums trick autism tests
Children with low intelligence or behavioral issues — but not autism — may meet the criteria for autism on standard diagnostic tests.
Questions for Bishop, Havdahl: Tantrums trick autism tests
Seeking precise portraits of girls with autism
Researchers need to consider new ways of capturing how autism manifests in girls, who may find clever ways of camouflaging their symptoms.
Gauging intelligence in autism over time
Adapting traditional tests of intelligence for people with intellectual disability can deflate their scores over time. Somer Bishop calls for tests that more accurately assess intelligence in this group.
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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.
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.