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
How new technologies can bring primatologists and systems neuroscientists together
The two groups study the same behavioral phenomena yet rarely interact or read each other's work—a mutual blind spot that weakens both fields. New technologies offer a chance to bring them together.
How new technologies can bring primatologists and systems neuroscientists together
The two groups study the same behavioral phenomena yet rarely interact or read each other's work—a mutual blind spot that weakens both fields. New technologies offer a chance to bring them together.
Creating community through grant support
Fiona Sanderson, a senior program manager at the Brain Canada Foundation, shares how she got into grant administration and how she helps connect researchers with funding and one another.
Creating community through grant support
Fiona Sanderson, a senior program manager at the Brain Canada Foundation, shares how she got into grant administration and how she helps connect researchers with funding and one another.
This paper changed my life: A first glimpse into the ‘middle’ of brain processing
Work by Jeffrey Moran and Robert Desimone showed that monkeys could focus their attention on different stimuli in their visual field without shifting their gaze. Their work marked a key milestone in the emergence of cognitive neuroscience.
This paper changed my life: A first glimpse into the ‘middle’ of brain processing
Work by Jeffrey Moran and Robert Desimone showed that monkeys could focus their attention on different stimuli in their visual field without shifting their gaze. Their work marked a key milestone in the emergence of cognitive neuroscience.