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Seen and heard: The Transmitter’s top multimedia stories in 2023
Our audio, video and photo highlights from the past year help to transport readers into scientists’ lives and research, and the lives of their study participants.
Seen and heard: The Transmitter’s top multimedia stories in 2023
Our audio, video and photo highlights from the past year help to transport readers into scientists’ lives and research, and the lives of their study participants.
Unmasking Alzheimer’s disease
People with early-onset Alzheimer’s disease describe why they enrolled in clinical trials through the Dominantly Inherited Alzheimer Network (DIAN), in a new book of portrait photography.
Unmasking Alzheimer’s disease
People with early-onset Alzheimer’s disease describe why they enrolled in clinical trials through the Dominantly Inherited Alzheimer Network (DIAN), in a new book of portrait photography.
Explore more from The Transmitter
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.