Neural coding
Recent articles
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.
Most neurons in mouse cortex defy functional categories
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.
Most neurons in mouse cortex defy functional categories
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.
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.
The Transmitter’s favorite essays and columns of 2024
From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.
The Transmitter’s favorite essays and columns of 2024
From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.
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.
Averaging is a convenient fiction of neuroscience
But neurons don’t take averages. This ubiquitous practice hides from us how the brain really works.
Averaging is a convenient fiction of neuroscience
But neurons don’t take averages. This ubiquitous practice hides from us how the brain really works.
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.
Explore more from The Transmitter
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
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.