Language
Recent articles
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
The buzziest neuroscience papers of 2023, 2024
The field took note of work on brain-computer interfaces for speech, the mechanism of psychedelics, a broader definition of hippocampal representations, and more.
The buzziest neuroscience papers of 2023, 2024
The field took note of work on brain-computer interfaces for speech, the mechanism of psychedelics, a broader definition of hippocampal representations, and more.
Robots marry natural neuroscience, experimental control to probe animal interactions
Faux fish and birds are helping researchers decipher some of the rules that govern schooling and squawking, among other social behaviors.
Robots marry natural neuroscience, experimental control to probe animal interactions
Faux fish and birds are helping researchers decipher some of the rules that govern schooling and squawking, among other social behaviors.
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.
Explore more from The Transmitter
Plumbing the link between anti-CASPR2 antibodies and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 December.
Plumbing the link between anti-CASPR2 antibodies and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 December.
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.
Genetic profiles separate early, late autism diagnoses
Age at diagnosis reflects underlying differences in common genetic variants and developmental trajectories among people with autism.
Genetic profiles separate early, late autism diagnoses
Age at diagnosis reflects underlying differences in common genetic variants and developmental trajectories among people with autism.