Large language models
Recent articles
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
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.
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.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Explore more from The Transmitter
Fly taste connectome traces paths from sensation to action
The map—the first of its kind for an animal more complex than Caenorhabditis elegans—gives neuroscientists a trove of testable hypotheses about how neuronal circuits guide feeding behaviors.
Fly taste connectome traces paths from sensation to action
The map—the first of its kind for an animal more complex than Caenorhabditis elegans—gives neuroscientists a trove of testable hypotheses about how neuronal circuits guide feeding behaviors.
Remembering Gerry Fischbach, ‘orchestra conductor’ who brought scientists together
Fischbach, who died 25 October, elucidated the dynamic changes in neuromuscular junctions. Beyond the lab, he shaped careers, academic departments and scientific societies.
Remembering Gerry Fischbach, ‘orchestra conductor’ who brought scientists together
Fischbach, who died 25 October, elucidated the dynamic changes in neuromuscular junctions. Beyond the lab, he shaped careers, academic departments and scientific societies.
WILD platform levels up ability to record brain activity, behavior in nature
The customizable rig combines multimodal recording, onboard processing and neuronal manipulation to power more complex experiments.
WILD platform levels up ability to record brain activity, behavior in nature
The customizable rig combines multimodal recording, onboard processing and neuronal manipulation to power more complex experiments.