Behavioral intervention
Recent articles
Owen’s odyssey: A year and a half after an autism diagnosis
This is part 2 of Owen’s story. It tracks his early progress in treatment for autism. Part 1 described his difficult path to a diagnosis.
Owen’s odyssey: A year and a half after an autism diagnosis
This is part 2 of Owen’s story. It tracks his early progress in treatment for autism. Part 1 described his difficult path to a diagnosis.
How autism researchers are applying machine-learning techniques
Researchers are using machine learning to improve diagnostic predictions of autism, create interactive support robots, and more.
How autism researchers are applying machine-learning techniques
Researchers are using machine learning to improve diagnostic predictions of autism, create interactive support robots, and more.
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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.