Connections between neurons can be mapped by acquiring and analysing electron microscopic brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative1–6, but nevert
Helps maintain homeostasis by regulating the production, volume, and pH of extracellular fluid. Removes waste from the blood and dilutes them with water and electrolytes to form urine. kidney A tube about 25 cm long in which the muscular walls propel urine using peristaltic waves to the bladder...
Answer to: Explain the parts of the cerebellum and its functions along with a diagram. By signing up, you'll get thousands of step-by-step...
Voronoï tessellation has been used to evaluate the numerical density and spatial distribution of neuronal and glial cells, because it takes into account the topographical features typical of the CNS [19]. It has been also used to investigate spatial relations between neural mosaics in retina, in...
Previously, we have shown that the phase separation of PMMs from the central nervous system (CNS) leads to a coexistence of the native period (𝑑d = 7.4–8.0 nm) with another new segregated phase. This new phase can assume two different arrangements depending on the environmental conditions:...
First, a dual-branch graph neural network (DBGNN) is introduced to learn the feature patterns of heterogeneous links, including connectivity and adjacency relations. Then, decentralized node sampling (DNS) and centralized node sampling (CNS) are proposed to enhance the local feature learning of DB...
First, a dual-branch graph neural network (DBGNN) is introduced to learn the feature patterns of heterogeneous links, including connectivity and adjacency relations. Then, decentralized node sampling (DNS) and centralized node sampling (CNS) are proposed to enhance the local feature learning of DB...
First, a dual-branch graph neural network (DBGNN) is introduced to learn the feature patterns of heterogeneous links, including connectivity and adjacency relations. Then, decentralized node sampling (DNS) and centralized node sampling (CNS) are proposed to enhance the local feature learning of DB...