Psychiatry
Recent articles
What, if anything, makes mood fundamentally different from memory?
To better understand mood disorders—and to develop more effective treatments—should we target the brain, the mind, the environment or all three?

What, if anything, makes mood fundamentally different from memory?
To better understand mood disorders—and to develop more effective treatments—should we target the brain, the mind, the environment or all three?
The creative brain—an edited excerpt from ‘Essays on Art and Science’
In his new book, neuroscientist Eric Kandel explores how sensory perception and higher-order cognitive processes influence our experience of art.

The creative brain—an edited excerpt from ‘Essays on Art and Science’
In his new book, neuroscientist Eric Kandel explores how sensory perception and higher-order cognitive processes influence our experience of art.
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.

Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.

The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.