Alison Singer
President
Autism Science Foundation
From this contributor
It’s time to embrace ‘profound autism’
My experience at the Autism-Europe International Congress — and as a parent of a child with profound autism — makes me more convinced than ever that we need to bifurcate the diagnosis of ‘autism spectrum disorder’ and add a new diagnosis of ‘profound autism’ to better serve this vulnerable population.
Portrayals of autism on television don’t showcase full spectrum
Television characters with autism look dramatically different from the majority of people who have the condition.
Portrayals of autism on television don’t showcase full spectrum
The case for brain donation
We can't get back the tissue lost in the Harvard freezer malfunction, but we can try to create something positive from this tragic event, says Alison Singer.
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New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.