Adrià Voltà
Illustrator
From this contributor
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Null and Noteworthy: Reexamining registered reports
Out of 92 preregistered studies that resulted in published papers, only 15 had fully adhered to their preregistration details, according to a new analysis.
Null and Noteworthy: Reexamining registered reports
Null and Noteworthy, relaunched: Probing a schizophrenia biomarker
This edition of Null and Noteworthy—the first for The Transmitter—highlights new findings about the auditory steady-state response in people with schizophrenia that, all within one study, somehow packed in a null result and a failed replication.
Null and Noteworthy, relaunched: Probing a schizophrenia biomarker
Why hasn’t genetics taught us more about schizophrenia?
Large-scale genomics studies have failed to identify specific pathways that go awry in schizophrenia. Alternative approaches focusing on cellular, molecular and systems-level changes may be needed.
Why hasn’t genetics taught us more about schizophrenia?
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.