Nicola Grissom is associate professor of psychology at the University of Minnesota.
Nicola Grissom
Associate professor
University of Minnesota
From this contributor
Accounting for a mosaic of sex differences: Q&A with Nicola Grissom
Breaking the binary view of sex traits can enable researchers to represent the broader complexity of behavior and cognition.
Accounting for a mosaic of sex differences: Q&A with Nicola Grissom
Why we need a mouse version of a diagnostic test for autism
Researchers have developed behavioral measures that can accurately diagnose autism in people; these lessons can and should be applied to mice.
Why we need a mouse version of a diagnostic test for 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.