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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.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
The last two-author neuroscience paper?
Author lists on papers have ballooned, and it’s getting hard to discern contribution.
The last two-author neuroscience paper?
Author lists on papers have ballooned, and it’s getting hard to discern contribution.
‘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.
Pinning down ‘profound autism’ for reliable research: Q&A with Matthew Siegel
A clear and actionable definition for the term could enhance research and improve care, Matthew Siegel says.
Pinning down ‘profound autism’ for reliable research: Q&A with Matthew Siegel
A clear and actionable definition for the term could enhance research and improve care, Matthew Siegel says.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Some minimally verbal autistic people show signs of written-language familiarity, study suggests
But researchers not involved in the work worry the findings could be used to support discredited facilitated-communication techniques.
Some minimally verbal autistic people show signs of written-language familiarity, study suggests
But researchers not involved in the work worry the findings could be used to support discredited facilitated-communication techniques.
Brain connectivity and letting the data speak with Emily Finn
The Dartmouth College researcher talks about her quest to understand behavior and doing neuroscience “in the woods.”
Brain connectivity and letting the data speak with Emily Finn
The Dartmouth College researcher talks about her quest to understand behavior and doing neuroscience “in the woods.”
Explore more from The Transmitter
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Psychedelics meta-analysis retracted after authors request ‘significant changes’
While working on a similar analysis last year, an independent researcher spotted inconsistencies in the now-retracted paper.
Psychedelics meta-analysis retracted after authors request ‘significant changes’
While working on a similar analysis last year, an independent researcher spotted inconsistencies in the now-retracted paper.
Some dopamine neurons signal default behaviors to reinforce habits
Movement-sensing neurons that target the striatum influence a mouse’s choice of action by favoring routine.
Some dopamine neurons signal default behaviors to reinforce habits
Movement-sensing neurons that target the striatum influence a mouse’s choice of action by favoring routine.