Correlated neuronal activity and the flow of neural information

By Emilio Salinas, Terrence J. Sejnowski. Nature Reviews Neuroscience, 2001

1,380 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cacf010c4a68680a9853d259ea4785bea433b9ab

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In Cognitive Neuroscience

Citations in the corpus

Neuronal gamma-band synchronization as a fundamental process in cortical computation. (2009, background): “Initially, the most prominent concept pertaining to the consequences of precise neuronal synchronization was feedforward coincidence detection (König et al. 1996; Salinas & Sejnowski 2000, 2001).”
Routing Networks and the Challenges of Modular and Compositional Computation (2019, background): “It has been found that coincidence of spikes from multiple neurons converging on a post-synaptic neuron have a super-additive effect [Aertsen et al., 1989, Usrey and Reid, 1999, Engel et al., 2001, Salinas and Sejnowski, 2001, Fries, 2005].”
Oscillatory integration windows in neurons (2016, background): “, 2009), or varying internal states of the animal (reviewed by (Salinas and Sejnowski, 2001)).”
Automated long-term recording and analysis of neural activity in behaving animals (2016, background): “…of single unit activity do not adequately address the stability of the network in which the neurons are embedded, as they do not account for interneuronal correlations (Abbott and Dayan, 1999; Ecker et al., 2010; Nienborg et al., 2012; Okun et al., 2015b; Salinas and Sejnowski, 2001; Singer, 1999).”
Development of Large-Scale Functional Brain Networks in Children (2009, background): “The formation of brain networks during development is thought to arise from a dual process of integration and segregation [27,46–49].”
Odor representations in olfactory cortex: "sparse" coding, global inhibition, and oscillations. (2009, background): “Oscillating Synaptic Inputs Govern Spike Timing Neuronal oscillations are thought to be an important feature that contributes to the processing of information in cortical networks (Buzsaki and Draguhn, 2004; Salinas and Sejnowski, 2001).”
Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. (2007, background): “For example , given its spatial organization spontaneous activity may be important for coordination of neuronal processing (Buzsaki and Draguhn, 2004; Salinas and Sejnowski, 2001; Shatz, 1996).”
Network Oscillations: Emerging Computational Principles (2006, background): “of the neuron will be determined not only by the firing rates of its inputs but also by their correlations (Salinas and Sejnowski, 2001).”
Reward expectation modulates feedback-related negativity and EEG spectra (2007, positive): “Recent findings using this approach have revealed novel insights into task-related cognitive processes beyond what is evident in averaged ERPs (Fell et al., 2004; Makeig et al., 2002; Salinas and Sejnowski, 2001).”
Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (2016, positive): “Computationally, E:I balance allows for efficient information transmission and information gating (Vogels & Abbott 2009; Salinas & Sejnowski 2001), network computation (Mariño et al. 2005), and working memory maintenance (Lim & Goldman 2013).”
Theta and Gamma Oscillations Predict Encoding and Retrieval of Declarative Memory (2006, background): “Experimental and theoretical work shows that a neuron receiving multiple inputs is more likely to fire if these inputs are synchronized (for review, see Salinas and Sejnowski, 2001).”