Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks
By Tim P. Vogels, L. F. Abbott. Nature Neuroscience, 2009
383 citations recorded by the source corpus.
Recent theoretical work has provided a basic understanding of signal propagation in networks of spiking neurons, but mechanisms for gating and controlling these signals have not been investigated previously. Here we introduce an idea for the gating of multiple signals in cortical networks that combines principles of signal propagation with aspects of balanced networks. Specifically, we studied networks in which incoming excitatory signals are normally cancelled by locally evoked inhibition, leaving the targeted layer unresponsive. Transmission can be gated 'on' by modulating excitatory and inhibitory gains to upset this detailed balance. We illustrate gating through detailed balance in large networks of integrate-and-fire neurons. We show successful gating of multiple signals and study failure modes that produce effects reminiscent of clinically observed pathologies. Provided that the individual signals are detectable, detailed balance has a large capacity for gating multiple signals.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a79312eca32d692050746328c08127ff6d7ab2b9
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Citations in the corpus
- Receptive field formation by interacting excitatory and inhibitory synaptic plasticity (2016, background): “Under these conditions, inhibitory plasticity establishes a state of a global E/I balance (Vogels & Abbott, 2009; Vogels et al., 2011), in which inhibition balances excitation on average across stimuli.”
- Parallel processing by cortical inhibition enables context-dependent behavior (2016, neutral): “Co-tuning of inhibition with excitation may be disrupted in epochs of high attention or arousal and differentially affect inhibitory transmission or inhibitory neuron activity 25,34,38–40 .”
- Inhibitory synaptic plasticity: spike timing-dependence and putative network function (2013, methodology): “For neocortical neurons, Vogels et al. (2011) and Luz and Shamir (2012) both hypothesized that iSTDP was the mechanism underlying the rebalancing of excitation and inhibition that occurs in A1 described above (Froemke et al., 2007).”
- The Packet Switching Brain (2011, neutral): “Moreover, plausible mechanistic models of neural routing have recently been proposed (Vogels & Abbott, 2009; Möller, Lücke, Zhu, Faustmann, & von der Malsburg, 2007).”
- Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding (2010, background): “These theoretical studies have identified two separate modes that support the propagation of either asynchronous (rate code”
- Interneuron dysfunction in psychiatric disorders (2012, background): “They achieve these goals by controlling — both spatially and temporally — the amounts of excitatory and inhibitory inputs that individual neurons receiv”
- Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (2016, positive): “Computationally, E:I balance allows for efficient information transmission and gating (Salinas and Sejnowski, 2001; Vogels and Abbott, 2009), network computation (Mari~ no et al.”
- Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations (2013, background): “The key characteristic of effective connectivity is that it is not fixed because synapses in the brain are activity- and context-dependent, resulting from synaptic plasticity, neuromodulation, or even the interplay between excitation and inhibition (Vogels and Abbott, 2009).”
- A disinhibitory microcircuit for associative fear learning in the auditory cortex (2011, background): “, suggesting that these systems can profoundly affect circuit computations by shifting the excitation–inhibition balanc”
- Evaluating early EEG correlates of restricted and repetitive behaviors for toddlers with or without autism (2024, background): “For instance, a reduction of GABAergic inhibition could lead to enhanced neural noise, which may result in reduced gating [73] and less e�cient information transmission in networks [74].”