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Balanced State

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Encyclopedia of Computational Neuroscience

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References

  • Barrett JN (1975) Motoneuron dendrites: role in synaptic integration. Fed Proc 34:1398–1407

    CAS  PubMed  Google Scholar 

  • Blumenfeld B, Bibitchkov D, Tsodyks M (2006) Neural network model of the primary visual cortex: from functional architecture to lateral connectivity and back. J Comp Neurosci 20(2):214–241

    Article  Google Scholar 

  • Chance FS, Abbott LF, Reyes AD (2002) Gain modulation from background synaptic input. Neuron 35:773–782

    Article  CAS  PubMed  Google Scholar 

  • Dichter MA, Ayala GF (1987) Cellular mechanisms of epilepsy: a status report. Science 237:157–164

    Article  CAS  PubMed  Google Scholar 

  • Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A (2003) Spontaneously emerging cortical representations of visual attributes. Nature 425(6961):954–956

    Article  CAS  PubMed  Google Scholar 

  • London M, Häusser M (2005) Dendritic computation. Ann Rev Neurosci 28:503–532

    Article  CAS  PubMed  Google Scholar 

  • Magee JC (2000) Dendritic integration of excitatory synaptic input. Nat Rev Neurosci 1(3):181–190

    Article  CAS  PubMed  Google Scholar 

  • Mariño J, Schummers J, Lyon DC, Schwabe L, Beck O, Wiesing P, Obermayer K, Sur M (2005) Invariant computations in local cortical networks with balanced excitation and inhibition. Nat Neurosci 8(2):194–201

    Article  PubMed  Google Scholar 

  • Okun M, Lampl I (2008) Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities. Nat Neurosci 11:535–537

    Article  CAS  PubMed  Google Scholar 

  • Rall W (1964) Theoretical significance of dendritic trees for neuronal input-output relations. In: Reiss R, Alto P (eds) Neural theory and modeling. Stanford University Press, Stanford

    Google Scholar 

  • Rudolph M, Destexhe A (2003) A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. J Neurosci 23:2466–2476

    CAS  PubMed  Google Scholar 

  • Salinas E, Sejnowski TJ (2000) Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J Neurosci 20:6193–6209

    CAS  PubMed  Google Scholar 

  • Shadlen MN, Newsome WT (1994) Noise, neural codes and cortical organization. Curr Opin Neurobiol 4:569–579

    Article  CAS  PubMed  Google Scholar 

  • Sharp AA, Abbott LF, Marder E (1992) Artificial electrical synapses in oscillatory networks. J Neurophysiol 67:1691–1694

    CAS  PubMed  Google Scholar 

  • Sillito AM (1975) The contribution of inhibitory mechanisms to the receptive field properties of neurones in the striate cortex of the cat. J Physiol 250:305–329

    CAS  PubMed Central  PubMed  Google Scholar 

  • Tuckwell HC (1988) Introduction to theoretical neurobiology. Cambridge University Press, Cambridge, UK

    Book  Google Scholar 

  • van Vreeswijk CA, Sompolinsky H (1996) Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science 274:1724–1726

    Article  PubMed  Google Scholar 

  • Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W (2012) Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science 336(6083):802

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science and Electrical Engineering, Adaptive and Regenerative Software Systems, Universität Rostock, Rostock, Germany

    Lars Schwabe

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  1. Lars Schwabe
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Correspondence to Lars Schwabe .

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Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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Schwabe, L. (2014). Balanced State. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_573-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_573-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

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