NeuroAI
Recent articles
Advances and insights on the intersection between neuroscience and artificial intelligence
NeuroAI and the hidden complexity of agency
As we attempt to build autonomous artificial-intelligence systems, we're discovering that a capability we take for granted in animals may be much more complex than we imagined.

NeuroAI and the hidden complexity of agency
As we attempt to build autonomous artificial-intelligence systems, we're discovering that a capability we take for granted in animals may be much more complex than we imagined.
The brain holds no exclusive rights on how to create intelligence
Many of the recent developments underlying the explosive success of artificial intelligence have diverged from using neuroscience as a source of inspiration—and the trend is likely to continue.

The brain holds no exclusive rights on how to create intelligence
Many of the recent developments underlying the explosive success of artificial intelligence have diverged from using neuroscience as a source of inspiration—and the trend is likely to continue.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Solving intelligence requires new research and funding models
Our research ecosystem isn't built to deliver the breakthroughs needed to understand intelligence at scale. We need a dedicated research institution to take up the task.

Solving intelligence requires new research and funding models
Our research ecosystem isn't built to deliver the breakthroughs needed to understand intelligence at scale. We need a dedicated research institution to take up the task.
Grace Hwang and Joe Monaco discuss the future of NeuroAI
Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.
Grace Hwang and Joe Monaco discuss the future of NeuroAI
Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.
NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.

NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.
What the brain can teach artificial neural networks
The brain offers valuable lessons to artificial neural networks to boost their data and energy efficiency, flexibility and more.

What the brain can teach artificial neural networks
The brain offers valuable lessons to artificial neural networks to boost their data and energy efficiency, flexibility and more.
How Anthony Zador thinks neuroscience can help improve AI
Artificial intelligence is ubiquitous and powerful, but can neuroscience still help advance it? Zador describes the “virtuous circle” of neuroscience and AI that drives progress in both fields.
How Anthony Zador thinks neuroscience can help improve AI
Artificial intelligence is ubiquitous and powerful, but can neuroscience still help advance it? Zador describes the “virtuous circle” of neuroscience and AI that drives progress in both fields.
Cristina Savin and Tim Vogels discuss how AI has shaped their neuroscience research
Not all neuroscientists use artificial intelligence in the same way or for the same purpose. Neuroscience researchers from different fields discuss the impact AI has had on their research and how it influences productivity in their labs.
Cristina Savin and Tim Vogels discuss how AI has shaped their neuroscience research
Not all neuroscientists use artificial intelligence in the same way or for the same purpose. Neuroscience researchers from different fields discuss the impact AI has had on their research and how it influences productivity in their labs.
Kenneth Harris and Andreas Tolias explain how AI has informed their neuroscience research
Modern AI models have shaped how the pair thinks about our brains and minds, asks research questions and views scientific progress and productivity.
Kenneth Harris and Andreas Tolias explain how AI has informed their neuroscience research
Modern AI models have shaped how the pair thinks about our brains and minds, asks research questions and views scientific progress and productivity.
Explore more from The Transmitter
Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.

Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.
Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?

Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?
Subthalamic plasticity helps mice squelch innate fear responses
When the animals learn that a perceived threat is not dangerous, long-term activity changes in a part of the subthalamus suppress their instinctive fears.

Subthalamic plasticity helps mice squelch innate fear responses
When the animals learn that a perceived threat is not dangerous, long-term activity changes in a part of the subthalamus suppress their instinctive fears.