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      Synaptic Reorganization in Scaled Networks of Controlled Size

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          Abstract

          Neurons in plastic regions of the brain undergo fundamental changes in the number of cells connecting to them as a result of development, plasticity and disease. Across these same time periods, functional changes in cellular and synaptic physiology are known to occur and are often characterized as developmental features of these periods. However, it remains possible that many such changes are direct consequences of the modified degree of partnering, and that neurons intrinsically scale their physiological parameters with network size. To systematically vary a recurrent network's number of neurons while measuring its synaptic properties, we used microfabricated extracellular matrix adhesive islands created with soft lithography to culture neuronal clusters of precise sizes, and assessed their intrinsic connectivity using intracellular recordings and confocal microscopy. Both large and small clusters supported constant densities of excitatory and inhibitory neurons. However, neurons that were provided with more potential partners (larger clusters) formed more connections per cell via an expanded dendritic surface than cocultured smaller clusters. Electrophysiologically, firing rate was preserved across clusters even as size and synapse number increased, due in part to synapses in larger networks having reduced unitary strengths, and sparser paired connectivity. Larger networks also featured a particular increase in the number of excitatory connections onto inhibitory dendrites. We suggest that these specific homeostatic mechanisms, which match the number, strength, and architecture of connections to the number of total available cellular partners in the network, could account for several known phenomena implicated in the formation, organization and degeneration of neuronal circuits.

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          Author and article information

          Journal
          J Neurosci
          J. Neurosci
          jneuro
          jneurosci
          J. Neurosci
          The Journal of Neuroscience
          Society for Neuroscience
          0270-6474
          1529-2401
          12 December 2007
          : 27
          : 50
          : 13581-13589
          Affiliations
          [1] 1Picower Institute for Learning and Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,
          [2] 2Department of Pathology, Children's Hospital and Harvard Medical School, Boston, Massachusetts 02115, and
          [3] 3Center for Learning and Memory, School of Medicine, Tsinghua University, Beijing 100084, China
          Author notes
          Correspondence should be addressed to either of the following: Dr. Nathan R. Wilson, Massachusetts Institute of Technology, 46-6227, 77 Massachusetts Avenue, Cambridge, MA 02139, nathan1@ 123456mit.edu ; or Dr. Guosong Liu, School of Medicine, Tsinghua University, Beijing 100084, China, E-mail: liu.guosong@ 123456gmail.com

          *N.R.W. and M.T.T. contributed equally to this work.

          Article
          PMC6673632 PMC6673632 6673632 3294195
          10.1523/JNEUROSCI.3863-07.2007
          6673632
          18077670
          2f94410b-5f27-498b-8ec5-cfe627c4513c
          Copyright © 2007 Society for Neuroscience 0270-6474/07/2713581-09$15.00/0
          History
          : 24 August 2007
          : 18 October 2007
          : 22 October 2007
          Categories
          Articles
          Development/Plasticity/Repair

          inhibition,homeostasis,quantal,inverse,network,synapse
          inhibition, homeostasis, quantal, inverse, network, synapse

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