Accounting for autism’s prevalence
Recent articles
Map of global autism prevalence
View an interactive map of studies on autism prevalence around the world. The map highlights places where information is available — and places where information is missing.
Map of global autism prevalence
View an interactive map of studies on autism prevalence around the world. The map highlights places where information is available — and places where information is missing.
U.S. study charts changing prevalence of profound and non-profound autism
Profound autism prevalence rose from 2002 to 2016, though not nearly as much as non-profound autism did.
U.S. study charts changing prevalence of profound and non-profound autism
Profound autism prevalence rose from 2002 to 2016, though not nearly as much as non-profound autism did.
U.S. autism prevalence continues to rise as race and sex gaps shrink, new stats show
About 1 in 36 children in the United States has autism, up almost 20 percent from the previous estimate, reflecting improved identification, particularly among girls and Black, Hispanic and Asian or Pacific Islander children.
U.S. autism prevalence continues to rise as race and sex gaps shrink, new stats show
About 1 in 36 children in the United States has autism, up almost 20 percent from the previous estimate, reflecting improved identification, particularly among girls and Black, Hispanic and Asian or Pacific Islander children.
Autism incidence in England varies by ethnicity, class, location
High rates of autism are linked to lower socioeconomic status and minority ethnic groups, according to the largest-ever autism incidence study.
Autism incidence in England varies by ethnicity, class, location
High rates of autism are linked to lower socioeconomic status and minority ethnic groups, according to the largest-ever autism incidence study.
Autism by the numbers: Explaining its apparent rise
Is autism really more common among children today than in generations past? This new downloadable book offers an in-depth guide to the various factors that have helped to drive autism prevalence numbers up.
Autism by the numbers: Explaining its apparent rise
Is autism really more common among children today than in generations past? This new downloadable book offers an in-depth guide to the various factors that have helped to drive autism prevalence numbers up.
U.S. autism prevalence inches upward as racial gaps close
Autism prevalence in the United States rose to 1 in 44 children in 2018, up from 1 in 54 in 2016.
U.S. autism prevalence inches upward as racial gaps close
Autism prevalence in the United States rose to 1 in 44 children in 2018, up from 1 in 54 in 2016.
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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.