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How BCIs reveal the speaking brain
Long-term implants provide an opportunity to study how speech arises in everyday life.
How BCIs reveal the speaking brain
Long-term implants provide an opportunity to study how speech arises in everyday life.
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Still no proof for facilitated spelling methods
A systematic review into whether the “rapid prompting method” or “spelling to communicate” can help autistic people express themselves comes up empty yet again.
Still no proof for facilitated spelling methods
A systematic review into whether the “rapid prompting method” or “spelling to communicate” can help autistic people express themselves comes up empty yet again.
Shifting neural code powers speech comprehension
Dynamic coding helps explain how the brain processes multiple features of speech—from the smallest units of sounds to full sentences—simultaneously.
Shifting neural code powers speech comprehension
Dynamic coding helps explain how the brain processes multiple features of speech—from the smallest units of sounds to full sentences—simultaneously.
Cerebellum responds to language like cortical areas
One of four language-responsive cerebellar regions may encode meaningful information, much like the cortical language network in the left hemisphere, according to a new study.
Cerebellum responds to language like cortical areas
One of four language-responsive cerebellar regions may encode meaningful information, much like the cortical language network in the left hemisphere, according to a new study.
‘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.
Explore more from The Transmitter
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.