000188930 001__ 188930
000188930 005__ 20190316235715.0
000188930 0247_ $$2doi$$a10.3389/fnana.2013.00001
000188930 022__ $$a1662-5129
000188930 02470 $$2ISI$$a000317643600001
000188930 037__ $$aARTICLE
000188930 245__ $$aComputing the size and number of neuronal clusters in local circuits
000188930 269__ $$a2013
000188930 260__ $$bFrontiers Research Foundation$$c2013$$aLausanne
000188930 300__ $$a10
000188930 336__ $$aJournal Articles
000188930 520__ $$aThe organization of connectivity in neuronal networks is fundamental to understanding the activity and function of neural networks and information processing in the brain. Recent studies show that the neocortex is not only organized in columns and layers but also, within these, into synaptically connected clusters of neurons (Ko et al., 2011; Perin et al., 2011). The recently discovered common neighbor rule, according to which the probability of any two neurons being synaptically connected grows with the number of their common neighbors, is an organizing principle for this local clustering. Here we investigated the theoretical constraints for how the spatial extent of neuronal axonal and dendritic arborization, heretofore described by morphological reach, the density of neurons and the size of the network determine cluster size and numbers within neural networks constructed according to the common neighbor rule. In the formulation we developed, morphological reach, cell density, and network size are sufficient to estimate how many neurons, on average, occur in a cluster and how many clusters exist in a given network. We find that cluster sizes do not grow indefinitely as network parameters increase, but tend to characteristic limiting values.
000188930 6531_ $$adata driven modeling
000188930 6531_ $$aneuronal assemblies
000188930 6531_ $$alayer 5 pyramidal cell
000188930 6531_ $$alayer 2 pyramidal cell
000188930 6531_ $$aclustering
000188930 700__ $$0245502$$g162958$$aPerin, Rodrigo
000188930 700__ $$aTelefont, Martin
000188930 700__ $$aMarkram, Henry$$g150822$$0240392
000188930 773__ $$j7$$tFrontiers In Neuroanatomy$$q1
000188930 8564_ $$uhttps://infoscience.epfl.ch/record/188930/files/fnana-07-00001.pdf$$zPublisher's version$$s2138167$$yPublisher's version
000188930 909C0 $$xU10458$$0252120$$pLNMC
000188930 909C0 $$0252553$$xU11230$$pBBP-CORE
000188930 909CO $$qGLOBAL_SET$$pSV$$particle$$ooai:infoscience.tind.io:188930
000188930 917Z8 $$x182396
000188930 937__ $$aEPFL-ARTICLE-188930
000188930 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000188930 980__ $$aARTICLE