Mark Wallace is dean of the graduate school at Vanderbilt University in Nashville, Tennessee.
Mark Wallace
Director of the Vanderbilt Brain Institute
From this contributor
We need precise measurements of sensory traits related to autism
Separating sensitivity to sensory stimuli from the response to the stimuli may help scientists understand the root cause of sensory traits in autistic people.
We need precise measurements of sensory traits related to autism
By
Mark Wallace
30 July 2019 | 5 min read
Timing is key to understanding sensory, social issues in autism
Individuals with autism have trouble reading social cues because their brains connect sights and sounds over unusually long periods of time.
Timing is key to understanding sensory, social issues in autism
By
Mark Wallace
9 August 2016 | 8 min read
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The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
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Marc Coutanche
13 November 2026 | 6 min read
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
By
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Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
By
Giorgia Guglielmi
12 November 2026 | 4 min read