Artificial intelligence
Recent articles
Many students want to learn to use artificial intelligence responsibly. But their professors are struggling to meet that need.
Effectively teaching students how to employ AI in their writing assignments requires clear guidelines—and detailed, case-specific examples.

Many students want to learn to use artificial intelligence responsibly. But their professors are struggling to meet that need.
Effectively teaching students how to employ AI in their writing assignments requires clear guidelines—and detailed, case-specific examples.
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.
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.

Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
Connectomics 2.0: Simulating the brain
With a complete fly connectome in hand, researchers are taking the next step to model how brain circuits fuel function.

Connectomics 2.0: Simulating the brain
With a complete fly connectome in hand, researchers are taking the next step to model how brain circuits fuel function.
Dean Buonomano explores the concept of time in neuroscience and physics
He outlines why he thinks integrated information theory is unscientific and discusses how timing is a fundamental computation in brains.
Dean Buonomano explores the concept of time in neuroscience and physics
He outlines why he thinks integrated information theory is unscientific and discusses how timing is a fundamental computation in brains.
Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.

Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.
Inhibitory cells work in concert to orchestrate neuronal activity in mouse brain
A cubic millimeter of brain tissue, meticulously sectioned, stained and scrutinized over the past seven years, reveals in stunning detail the role of inhibitory interneurons in brain structure and function.

Inhibitory cells work in concert to orchestrate neuronal activity in mouse brain
A cubic millimeter of brain tissue, meticulously sectioned, stained and scrutinized over the past seven years, reveals in stunning detail the role of inhibitory interneurons in brain structure and function.
Aran Nayebi discusses a NeuroAI update to the Turing test
And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.
Aran Nayebi discusses a NeuroAI update to the Turing test
And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.
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.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.

Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Explore more from The Transmitter
Rise in autism prevalence but not traits; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 July.

Rise in autism prevalence but not traits; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 July.
Drosophila, like vertebrates, filter sensory information during sleep
Predictive sensory processing in sleeping Drosophila echoes vertebrate research, establishing an evolutionarily conserved neural signature of sleep.

Drosophila, like vertebrates, filter sensory information during sleep
Predictive sensory processing in sleeping Drosophila echoes vertebrate research, establishing an evolutionarily conserved neural signature of sleep.
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.

Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.