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
This paper changed my life: A technical breakthrough for memory studies
In a 2007 Science paper, Mark Mayford and his colleagues found that some neurons activated during learning are also recruited during memory retrieval. Noelia Weisstaub shares how this study and others drove an era of great progress in tool development.
This paper changed my life: A technical breakthrough for memory studies
In a 2007 Science paper, Mark Mayford and his colleagues found that some neurons activated during learning are also recruited during memory retrieval. Noelia Weisstaub shares how this study and others drove an era of great progress in tool development.
Early experience reshapes zebrafish retinal cells, alters behavior
The cells undergo a classic form of plasticity previously thought to occur only in downstream visual circuits.
Early experience reshapes zebrafish retinal cells, alters behavior
The cells undergo a classic form of plasticity previously thought to occur only in downstream visual circuits.
Loss of interneuron plasticity may be shared hallmark of neurodevelopmental conditions
Restoring an experience-dependent interneuron plasticity gene in adulthood improves memory and cuts seizures in CNTNAP2 knockout mice, a new study shows.
Loss of interneuron plasticity may be shared hallmark of neurodevelopmental conditions
Restoring an experience-dependent interneuron plasticity gene in adulthood improves memory and cuts seizures in CNTNAP2 knockout mice, a new study shows.