Computational simulations and mathematical derivations reveal why the response of neural populations to external modulation is sometimes reversed with respect to what intuition would lead to believe in cortical circuits with multiple types of inhibitory neurons.
A computational model shows that natural selection can cause populations to evolve a distinctive population-level phenotype: the ability to transition between collective states in response to the environment.
Networks simulations and in vivo imaging suggest a stable backbone of stimulus representation formed by neurons with low population coupling, alongside a flexible substrate of neurons with high population coupling.
Endocannabinoid activation of the CB1 receptor on retinal ganglion cells in the eye results in enhanced excitability and responsiveness to visual stimulation through a novel mechanism involving intracellular chloride regulation.
Multi-omic profiling of gene expression in response to reduced insulin/IGF-like-signalling reveals tissue-specific regulation of DNA damage and lysosomal mannosidase regulation of tissue homeostasis as pro-longevity responses.