Ari Ne’eman
President and Co-founder
Autistic Self Advocacy Network
From this contributor
How governments should maintain disability services during the pandemic
People with disabilities are at increased risk of medical and other complications from coronavirus infection. There is a lot that governments can do to help them.
How governments should maintain disability services during the pandemic
Questions for Ari Ne’eman: Partnering with participants
Autistic adults should be partners in the research process, not just ‘subjects’ in a study, says Ari Ne’eman.
Questions for Ari Ne’eman: Partnering with participants
Will new DSM-5 autism criteria impact services?
The newest edition of the Diagnostic and Statistical Manual of Mental Disorders is an imperfect document, but it is far from the calamity that many have accused it of being, says Ari Ne’eman.
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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.
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.
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.