Network neuroscience
Recent articles
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.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
Explore more from The Transmitter
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
‘Push-pull’ recipe for neural wiring used in multiple brain regions
A versatile pair of proteins steers neurons toward their targets and helps establish the brain’s sensory maps, new studies suggest.
‘Push-pull’ recipe for neural wiring used in multiple brain regions
A versatile pair of proteins steers neurons toward their targets and helps establish the brain’s sensory maps, new studies suggest.
Reward-learning algorithm hardwired into dopamine circuit
The finding bolsters the canonical model of reward prediction error, which has come under scrutiny in recent years.
Reward-learning algorithm hardwired into dopamine circuit
The finding bolsters the canonical model of reward prediction error, which has come under scrutiny in recent years.