Connector hub
Recent articles
Neuroscientist Mac Shine interviews researchers whose work traverses traditional boundaries.
How can we fold cellular-level details into whole-brain neuroimaging networks?
I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.
How can we fold cellular-level details into whole-brain neuroimaging networks?
I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.
What happens when a histopathologist teams up with computational modelers?
Answers emerge in my chat with Nicola Palomero-Gallagher, a rare example of someone who connects the brain’s microscopic constituents and macroscopic features.
What happens when a histopathologist teams up with computational modelers?
Answers emerge in my chat with Nicola Palomero-Gallagher, a rare example of someone who connects the brain’s microscopic constituents and macroscopic features.
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.