Machine learning
Recent articles
What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.
What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.
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.
Karen Adolph explains how we develop our ability to move through the world
How do babies' bodies and their environment teach them to move—and how can robots benefit from these insights?
Karen Adolph explains how we develop our ability to move through the world
How do babies' bodies and their environment teach them to move—and how can robots benefit from these insights?
Kim Stachenfeld on the dance between neuroscience and artificial intelligence
As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.
Kim Stachenfeld on the dance between neuroscience and artificial intelligence
As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.
Neurons’ spikes may convey their whereabouts
The time lag between spurts of activity holds anatomical information, according to a preprint.
Neurons’ spikes may convey their whereabouts
The time lag between spurts of activity holds anatomical information, according to a preprint.
Robots boost data consistency in rodent studies reliant on mechanical, optogenetic stimulation
Two new devices take experimenter variation out of the equation, the lead investigators say.
Robots boost data consistency in rodent studies reliant on mechanical, optogenetic stimulation
Two new devices take experimenter variation out of the equation, the lead investigators say.
New tablet-based tools to spot autism draw excitement — and questions
Handheld devices promise to bring autism detection home, but many researchers urge caution.
New tablet-based tools to spot autism draw excitement — and questions
Handheld devices promise to bring autism detection home, but many researchers urge caution.
Scrutinized autism prediction paper retracted over problems in peer review
The paper is one of more than 8,000 that have been pulled by the publisher this year, after an investigation found evidence of manipulation in the publication and peer-review process.
Scrutinized autism prediction paper retracted over problems in peer review
The paper is one of more than 8,000 that have been pulled by the publisher this year, after an investigation found evidence of manipulation in the publication and peer-review process.
Explore more from The Transmitter
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
In memoriam: Yves Frégnac, influential and visionary French neuroscientist
Frégnac, who died on 18 October at the age of 73, built his career by meeting neuroscience’s complexity straight on.
In memoriam: Yves Frégnac, influential and visionary French neuroscientist
Frégnac, who died on 18 October at the age of 73, built his career by meeting neuroscience’s complexity straight on.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.