Neural coding
Recent articles
John Beggs unpacks the critical brain hypothesis
Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.
John Beggs unpacks the critical brain hypothesis
Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.
Why the 21st-century neuroscientist needs to be neuroethically engaged
Technological advances in decoding brain activity and in growing human brain cells raise new ethical issues. Here is a framework to help researchers navigate them.
Why the 21st-century neuroscientist needs to be neuroethically engaged
Technological advances in decoding brain activity and in growing human brain cells raise new ethical issues. Here is a framework to help researchers navigate them.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.
Tracking single neurons in the human brain reveals new insight into language and other human-specific functions
Better technologies to stably monitor cell populations over long periods of time make it possible to study neural coding and dynamics in the human brain.
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
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.
Explore more from The Transmitter
Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.