Turning on and off recurrent balanced cortical activity

By Yousheng Shu, A. Hasenstaub, David A. McCormick. Nature, 2003

1,116 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/6e5144702fe741921bee2b638b8bebbf4b3375e5

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement. (2011, background): “F or p er so na l u se o nl y. is tightly regulated (Atallah & Scanziani 2009, Pouille et al. 2009, Shu et al. 2003).”
Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework (2008, neutral): “other out [12–15].”
Spatiotemporal dynamics of cortical sensorimotor integration in behaving mice. (2007, background): “Typically activity propagated as waves of depolarization reflecting UP states (Steriade et al., 1993; Cowan and Wilson, 1994; Petersen et al., 2003b; Cossart et al., 2003; Shu et al., 2003; Volgushev et al., 2006) and often very large fractions of sensorimotor cortex were synchronously depolarized.”
Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons (2014, background): “The mean μ and variance σ2 of the total input to a typical neuron in the network depend on the presynaptic firing rates and the synaptic couplings (see Online Methods equations (5) and (6)).”
Neuronal Avalanches in Neocortical Circuits (2003, background): “This balance has been implicated in proportional amplification in cortical networks (Douglas et al., 1995) as well as in the maintenance of cortical up states ( Shu et al., 2003 ).”
Closed-loop and activity-guided optogenetic control. (2015, positive): “…regimes 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…”
Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections (2013, background): “Subsequent experiments in cortex lend support to balanced network states with measurements of large and opposing excitatory and inhibitory synaptic currents [13,14], asynchronous cortical activity [15], as well as the sensitivity of network dynamics to small perturbations [16].”
Balanced amplification: a new mechanism of selective amplification of neural activity patterns (2009, positive): “) In V1 and other regions of cerebral cortex, recurrent excitation appears to be strong but balanced by similarly strong feedback inhibition (Chagnac-Amitai and Connors, 1989; Haider et al., 2006; Shu et al., 2003; Higley and Contreras, 2006; Ozeki et al., 2009), an arrangement often considered by t”
Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation (2009, background): “This was further supported by the observation that action potentials generated at the active brain state, or the 'Up' stat”
Dynamical principles in neuroscience (2006, background): “It is still unclear whether this bistability arises from intrinsic or circuit mechanisms or a combination of the two Egorov et al., 2002; Shu et al., 2003 . iii Both CPGs and cortical microcircuits demonstrate attractor dynamics and transient dynamics see, for example, Abeles et al. 1993 ; Ikegaya…”
Gating information by two-state membrane potential fluctuations. (2007, background): “2003 ; Shu et al .”
Efficient codes and balanced networks (2016, background): “A simple solution to the second problem, the ‘implementation problem’, is to assume that the excitatory and inhibitory inputs to each neuron are balanced 8–12 , a theoretical proposal that has been largely corroborated by various experimental observations 13–15 .”
Arc Regulates Experience-Dependent Persistent Firing Patterns in Frontal Cortex (2014, background): “In addition, to generate persistent activity within networks, prior learning that establishes appropriate synaptic connections is required (Shu et al., 2003; Major and Tank, 2004; Tseng and O’Donnell, 2005; Wang et al., 2013).”
Artificial Neural Networks for Neuroscientists: A Primer (2020, background): “Much insights have been gained through integration of experiments and theory, examples include the idea of excitation and inhibition balance [Van Vreeswijk and Sompolinsky, 1996, Shu et al., 2003] and normalization [Carandini and Heeger, 2012].”
Rhythms For Cognition: Communication Through Coherence (2015, positive): “Therefore, individual neurons typically receive excitation and inhibition in a balanced way (Haider et al., 2006; Shu et al., 2003), including neurons in awake monkey visual cortex during visual stimulation (Tan et al.”