Evan Eichler
Professor of Genome Sciences
University of Washington
From this contributor
Autism and the complete human genome: Q&A with Evan Eichler
Scientists have at last filled in the missing gaps — an advance likely to inform every aspect of autism genetics research, Eichler says.
Autism and the complete human genome: Q&A with Evan Eichler
Remembering Steve Warren (1953-2021): A giant in the field of genetics
Steve Warren co-discovered the genetic mechanism that underpins fragile X syndrome and was a generous, inspiring mentor to many.
Remembering Steve Warren (1953-2021): A giant in the field of genetics
Questions for Evan Eichler: An evolving theory of autism
A gene that raises the risk of autism in some people may also give humans an evolutionary boost.
Questions for Evan Eichler: An evolving theory of autism
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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.