Artificial intelligence
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Explore how neuroscientists are thinking about—and applying—artificial intelligence.
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Exclusive: Janelia sunsets rodent work, launches transparent fish project
Transforming AI models into useful model organisms
Exclusive: Neuroscience journal editor resigns over automation concerns
The Transmitter’s favorite essays of 2025
Breaking the jar: Why NeuroAI needs embodiment
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
Why expertise won’t protect you from AI’s influence
Betting blind on AI and the scientific mind
From bench to bot: Why AI-powered writing may not deliver on its promise
— TIM REQUARTH, DIRECTOR OF GRADUATE SCIENCE WRITING, RESEARCH ASSISTANT PROFESSOR OF NEUROSCIENCE AND PHYSIOLOGY, NYU GROSSMAN SCHOOL OF MEDICINE Read more
AI-assisted coding: 10 simple rules to maintain scientific rigor
How neuroscientists are using AI
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
Explore more from The Transmitter
Designer synapses edit brain circuits in living animals
The approach could help elucidate relationships between circuit structure and function, as well as the role of natural electrical synapses.
Designer synapses edit brain circuits in living animals
The approach could help elucidate relationships between circuit structure and function, as well as the role of natural electrical synapses.
Role of GABA-A receptors in dup15q syndrome, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 June.
Role of GABA-A receptors in dup15q syndrome, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 June.
Cortical area remixes macaques’ knowledge blocks to solve new problems
When monkeys draw complex shapes, their neural activity reflects patterns of activation elicited by drawing simpler, component shapes.
Cortical area remixes macaques’ knowledge blocks to solve new problems
When monkeys draw complex shapes, their neural activity reflects patterns of activation elicited by drawing simpler, component shapes.