2003/07/11 by Armen Stepanyants, Stepanyants, Armen
Biochemistry, Genetics and Molecular Biology · Neuroscience · Physics and Astronomy · #Biological Physics (physics.bio-ph) #FOS: Biological sciences #FOS: Physical sciences #General Physics (physics.gen-ph) #Memory and Neural Mechanisms #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neuropharmacology Research #Soft Condensed Matter (cond-mat.soft) #cond-mat.soft #physics.bio-ph #physics.gen-ph #q-bio.NC
paper · pdf · doi:10.48550/arxiv.physics/0307065
6 pages, 2 figures, 1 table
arxiv created 2003/07/11 · openalex publication_date 2003/07/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Learning and memory may rely on the ability of neuronal circuits to reorganize by dendritic spine remodeling. We have looked for geometrical parameters of cortical circuits, which maximize information storage capacity associated with this mechanism. In particular, we calculated optimal volume fractions of various neuropil components. The optimal axonal and dendritic volume fractions are not significantly different from anatomical measurements in the mouse and rat neocortex, and the rat hippocampus. This has led us to propose that the maximization of information storage capacity associated with dendritic spine remodeling may have been an important driving force in the evolution of the cortex.