NeuroAI
Recent articles
Advances and insights on the intersection between neuroscience and artificial intelligence
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.
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.
Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.
Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
‘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.
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.
David Robbe challenges conventional notions of time and memory
Inspired by his own behavioral neuroscience research and the philosophy of Henri Bergson, Robbe makes the case that we don't have clocks in our brains but instead perceive time by way of our interactions with the world.
David Robbe challenges conventional notions of time and memory
Inspired by his own behavioral neuroscience research and the philosophy of Henri Bergson, Robbe makes the case that we don't have clocks in our brains but instead perceive time by way of our interactions with the world.
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.
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
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.
Explore more from The Transmitter
Functional MRI can do more than you think
Recent technological advances provide a range of new and different information about brain physiology. But taking full advantage of these gains depends on collaboration between engineers and neuroscientists.
Functional MRI can do more than you think
Recent technological advances provide a range of new and different information about brain physiology. But taking full advantage of these gains depends on collaboration between engineers and neuroscientists.
As federal funders desert mentorship programs for marginalized students, trainee-led initiatives fill the gap
Grassroots organizations, led by graduate students and postdoctoral researchers, are stepping up to provide neuroscience career training and guidance for students from marginalized backgrounds—and they need your support.
As federal funders desert mentorship programs for marginalized students, trainee-led initiatives fill the gap
Grassroots organizations, led by graduate students and postdoctoral researchers, are stepping up to provide neuroscience career training and guidance for students from marginalized backgrounds—and they need your support.
Split gene therapy delivers promise in mice modeling Dravet syndrome
The new approach overcomes viral packaging limitations by delivering SCN1A piecemeal and stitching it together in target cells.
Split gene therapy delivers promise in mice modeling Dravet syndrome
The new approach overcomes viral packaging limitations by delivering SCN1A piecemeal and stitching it together in target cells.