Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities

By Michael Okun, I. Lampl. Nature Neuroscience, 2008

704 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/effd96b5eeb6761bd1d3de0cf7e64b7d37b94c57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Friedemann Zenke
2. Wulfram Gerstner
3. Wolfgang Maass
4. Robert Froemke
5. Tim P. Vogels
6. Henry Markram
7. Pierre Yger
8. Stefan Klampfl

In Cognitive Neuroscience

1. Friedemann Zenke
2. Wolfgang Maass
3. Wulfram Gerstner
4. Robert Froemke
5. Henry Markram
6. Pierre Yger
7. Stefan Klampfl
8. Matthieu Gilson

Citations in the corpus

• Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity (2013, background): “Such instantaneous balance between excitation and inhibition was described by [34].”
• Closed-loop and activity-guided optogenetic control. (2015, neutral): “…within a specific, broad dynamic range (Pouille et al., 2009), for example, maintaining a critical balance of excitation and inhibition (Shu et al., 2003; Haider and McCormick, 2009; Okun and Lampl, 2008; Wehr and Zador, 2003; Xue et al., 2014; Yizhar et al., 2011b; Isaacson and Scanziani, 2011).”
• Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. (2010, background): “These effects reflect the importance of the average temporal relationship of excitation and inhibition across trials; the timing and covariance of excitation with inhibition is likely even more precise within a single trial (Okun and Lampl, 2008).”
• GABAA inhibition controls response gain in visual cortex (2011, neutral): “Inhibition and excitation, moreover, are matched not only in sensory-evoked activity but also in the ongoing activity (Haider et al., 2006; Okun and Lampl, 2008; Adesnik and Scanziani, 2010).”
• Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches (2010, background): “…et al., 2009; Tanaka et al., 2009), and the balance of E/I (van Vreeswijk and Sompolinsky, 1996; Shadlen and Newsome, 1998; Shu et al., 2003; Roudi and Latham, 2007; Okun and Lampl, 2008; Sussillo and Abbott, 2009), but our work is the first to show how these ideas converge in cortical dynamics.”
• Measuring and interpreting neuronal correlations (2011, neutral): “Correlations in spiking responses arise because of co-fluctuations in synaptic input, which give rise to correlated membrane potential fluctuations in pairs of neuron”
• Reconstruction and Simulation of Neocortical Microcircuitry. (2015, background): “, 2004; Mazurek and Shadlen, 2002), with some suggesting that it is the result of poorly correlated excitatory activity (as expected if excitatory neurons generate a rate code), while others argue that correlations in excitatory activity are cancelled out by anti-correlated inhibition (Beierlein et ”
• Inhibitory synaptic plasticity: spike timing-dependence and putative network function (2013, methodology): “…zu Berlin, Berlin, Germany Edited by: Jessica Cardin, Yale University School of Medicine, USA Reviewed by: Michael Higley, Yale University School of Medicine, USA Edward Ruthazer, McGill University, Canada *Correspondence: T. P. Vogels, Department of Physiology, Anatomy, and Genetics, Centre…”
• How Inhibition Shapes Cortical Activity (2011, neutral): “In addition, during spontaneous cortical activity, increases in excitation are invariably accompanied by increases in inhibition (Figure 2B; Atallah and Scanziani, 2009; Haider et al., 2006; Okun and Lampl, 2008).”
• Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties (2011, methodology): “However, our model predicts a narrower time window (5 ms) during an Up state, a condition observed in vivo [51–52].”
• Models of Metaplasticity: A Review of Concepts (2015, background): “…activity (Paré et al., 1998; Destexhe and Paré, 1999), and because it has been observed experimentally that excitatory and inhibitory conductances are closely balanced (Froemke et al., 2007; Okun and Lampl, 2008), such a fine balance has to be maintained by the system (Renart et al., 2010).”
• Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP (2013, background): “2A) that reproduces the experimentally found tracking of excitation through inhibition in cortical microcircuits (Okun and Lampl, 2008).”