ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2011
Routing the flow of sensory signals using plastic responses to bursts and isolated spikes: experiment and theory.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Variable but not random: temporal pattern coding in a songbird brain area necessary for song modification.Journal of neurophysiology · 2021Article
- Sparse bursts optimize information transmission in a multiplexed neural code.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Burst Firing in the Electrosensory System of Gymnotiform Weakly Electric Fish: Mechanisms and Functional Roles.Frontiers in computational neuroscience · 2016Review
- Cardiac Arrest-Induced Global Brain Hypoxia-Ischemia during Development Affects Spontaneous Activity Organization in Rat Sensory and Motor Thalamocortical Circuits during Adulthood.Frontiers in neural circuits · 2016Article
- Implementing Signature Neural Networks with Spiking Neurons.Frontiers in computational neuroscience · 2016Article
- The neural dynamics of sensory focus.Nature communications · 2015Article
- A computational study of spike time reliability in two types of threshold dynamics.Journal of mathematical neuroscience · 2013Article
- Multiplexed temporal coding of electric communication signals in mormyrid fishes.The Journal of experimental biology · 2013Review
- Parallel coding of first- and second-order stimulus attributes by midbrain electrosensory neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Coding conspecific identity and motion in the electric sense.PLoS computational biology · 2012Article
- Efficient computation via sparse coding in electrosensory neural networks.Current opinion in neurobiology · 2011Review
- Single synapse information coding in intraburst spike patterns of central pattern generator motor neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011Article
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4 authors.
Funding
Abstract
Processing complex sensory environments efficiently requires a diverse array of neural coding strategies. Neural codes relying on specific temporal patterning of action potentials may offer advantages over using solely spike rate codes. In particular, stimulus-dependent burst firing may carry additional information that isolated spikes do not. We use the well characterized electrosensory system of weakly electric fish to address how stimulus-dependent burst firing can determine the flow of information in feedforward neural circuits with different forms of short-term synaptic plasticity. Pyramidal cells in the electrosensory lateral line lobe burst in response to low-frequency, local (prey) signals. We show that the ability of pyramidal cells to code for local signals in the presence of additional high-frequency, global (communication) stimuli is uncompromised, while burst firing is reduced. We developed a bursting neuron model to understand how these effects, in particular noise-induced burst suppression, arise from interplay between incoming sensory signals and intrinsic neuronal dynamics. Finally, we examined how postsynaptic target populations preferentially respond to one of the two sensory mixtures (local vs local plus global) depending on whether the populations are in receipt of facilitating or depressing synapses. This form of feedforward neural architecture may allow for efficient information flow in the same neural pathway via either isolated or burst spikes, where the mechanisms by which stimuli are encoded are adaptable and sensitive to a diverse array of stimulus and contextual mixtures.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.