Synonyms
Definition
The balanced state of neurons is characterized by a high value of the total membrane conductance caused by synaptic inputs. It is the state of cortical neurons in vivo in awake animals, and it is due to massive excitatory and inhibitory inputs that almost cancel out. In this state, the responses are driven by fluctuations (possible also due to coincident events) in the input, and due to a greatly reduced effective membrane time constant, the neuron responds rapidly.
Detailed Description
The notion of high-conductance states, and the fact that neurons could integrate differently in such states, was first proposed by modeling studies. A meanwhile classical dichotomy distinguished between two operating modes of neurons: the integrator mode and the coincidence detection mode. In the integrator mode, the postsynaptic neuron is emitting spikes, because it integrates over time the excitatory presynaptic inputs. In the coincidence detection mode, it...
References
Barrett JN (1975) Motoneuron dendrites: role in synaptic integration. Fed Proc 34:1398–1407
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
Chance FS, Abbott LF, Reyes AD (2002) Gain modulation from background synaptic input. Neuron 35:773–782
Dichter MA, Ayala GF (1987) Cellular mechanisms of epilepsy: a status report. Science 237:157–164
Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A (2003) Spontaneously emerging cortical representations of visual attributes. Nature 425(6961):954–956
London M, Häusser M (2005) Dendritic computation. Ann Rev Neurosci 28:503–532
Magee JC (2000) Dendritic integration of excitatory synaptic input. Nat Rev Neurosci 1(3):181–190
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
Okun M, Lampl I (2008) Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities. Nat Neurosci 11:535–537
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
Rudolph M, Destexhe A (2003) A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. J Neurosci 23:2466–2476
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
Shadlen MN, Newsome WT (1994) Noise, neural codes and cortical organization. Curr Opin Neurobiol 4:569–579
Sharp AA, Abbott LF, Marder E (1992) Artificial electrical synapses in oscillatory networks. J Neurophysiol 67:1691–1694
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
Tuckwell HC (1988) Introduction to theoretical neurobiology. Cambridge University Press, Cambridge, UK
van Vreeswijk CA, Sompolinsky H (1996) Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science 274:1724–1726
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_573-1
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7320-6
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences