Excitability
Recent articles
As circuits wire up, interneurons take cues from surrounding cells
The inhibitory cells’ development, diversity and abundance in the cortex is directed in part by pyramidal cells, a new preprint suggests.

As circuits wire up, interneurons take cues from surrounding cells
The inhibitory cells’ development, diversity and abundance in the cortex is directed in part by pyramidal cells, a new preprint suggests.
Top autism-linked genes join forces to shape synaptic plasticity
The protein products of ANK2 and SCN2A interact to regulate dendritic excitability.

Top autism-linked genes join forces to shape synaptic plasticity
The protein products of ANK2 and SCN2A interact to regulate dendritic excitability.
Explore more from The Transmitter
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.

Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.
Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?

Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?