Appetite regulation
Recent articles
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Should I stay (and eat) or should I go? How the brain balances hunger with competing drives
Understanding the interplay among rival signals, such as pain, thirst and fear, could provide insights into anxiety and other neuropsychiatric conditions.
Should I stay (and eat) or should I go? How the brain balances hunger with competing drives
Understanding the interplay among rival signals, such as pain, thirst and fear, could provide insights into anxiety and other neuropsychiatric conditions.
Explore more from The Transmitter
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.