Modeling
Recent articles
How neuroscience comics add KA-POW! to the field: Q&A with Kanaka Rajan
The artistic approach can help explain complex ideas frame by frame without diluting the science, Rajan says.
How neuroscience comics add KA-POW! to the field: Q&A with Kanaka Rajan
The artistic approach can help explain complex ideas frame by frame without diluting the science, Rajan says.
Untangling biological threads from autism’s phenotypic patchwork reveals four core subtypes
People belonging to the same subtype share genetic variants, behaviors and often co-occurring diagnoses, according to a new preprint.
Untangling biological threads from autism’s phenotypic patchwork reveals four core subtypes
People belonging to the same subtype share genetic variants, behaviors and often co-occurring diagnoses, according to a new preprint.
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Dancing in the dark: Honeybees use antennae to decode nestmates’ waggles
The insects align their antennae with their body’s angle to a dancer—information that vector-processing circuitry in the brain deciphers into a flight path, a new study suggests.
Dancing in the dark: Honeybees use antennae to decode nestmates’ waggles
The insects align their antennae with their body’s angle to a dancer—information that vector-processing circuitry in the brain deciphers into a flight path, a new study suggests.
In hot water: Climate change tests limits of neuronal resilience in crabs
Warming seas disrupt the function of neurons — and could seed permanent changes in marine species, according to studies of a circuit that controls digestion in crustaceans.
In hot water: Climate change tests limits of neuronal resilience in crabs
Warming seas disrupt the function of neurons — and could seed permanent changes in marine species, according to studies of a circuit that controls digestion in crustaceans.
What ‘drifting representations’ reveal about the brain
How neuronal activity patterns associated with a behavior can change, even when the behavior does not — something once seen as an experimental artifact — could offer new insights about neural function.
What ‘drifting representations’ reveal about the brain
How neuronal activity patterns associated with a behavior can change, even when the behavior does not — something once seen as an experimental artifact — could offer new insights about neural function.
AI model helps decode brain activity underlying conversation
A text-predicting chatbot parses text from conversations in a way that parallels brain-activity patterns associated with speech production and comprehension.
AI model helps decode brain activity underlying conversation
A text-predicting chatbot parses text from conversations in a way that parallels brain-activity patterns associated with speech production and comprehension.
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.