Neural coding
Recent articles
Does cognition happen in brain areas or between them?
Michael Cole explains how "brain flows" are the fundamental units of brain function and cognition.
Does cognition happen in brain areas or between them?
Michael Cole explains how "brain flows" are the fundamental units of brain function and cognition.
The neural code at 100
In two 1926 articles, Edgar Douglas Adrian revealed that neurons communicate through trains of spikes.
The neural code at 100
In two 1926 articles, Edgar Douglas Adrian revealed that neurons communicate through trains of spikes.
Cooperating marmosets extend decision-making model of the brain
When a pair of marmosets works together to earn some marshmallow fluff, one of them decides to act only after its brain accumulates enough evidence about what the other is doing, new work shows.
Cooperating marmosets extend decision-making model of the brain
When a pair of marmosets works together to earn some marshmallow fluff, one of them decides to act only after its brain accumulates enough evidence about what the other is doing, new work shows.
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
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.
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.