Chris Gunter is senior adviser to the director of the U.S. National Human Genome Research Institute in Bethesda, Maryland.
Chris Gunter
Associate Professor
Emory University
From this contributor
Call to update standards for publishing autism research
Autism researchers should take steps to communicate their findings before, during and after publication of the paper.

Call to update standards for publishing autism research
Communication lapses hinder autism research
The term ‘deficit model’ traditionally means treating people with autism by focusing on their limitations rather than their strengths. Chris Gunter introduces the deficit model in a different context: science communication.
Great sequencing power — great responsibility
Chris Gunter and Daniel MacArthur discuss guidelines for assessing the evidence that a genetic variant causes autism or another disorder.

Great sequencing power — great responsibility
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Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.

Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Microglia nurture young interneurons
The immune cells secrete a growth factor that “sets the supply of GABAergic interneurons in the developing brain.”

Microglia nurture young interneurons
The immune cells secrete a growth factor that “sets the supply of GABAergic interneurons in the developing brain.”
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.