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Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns
2006
Biological cybernetics
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In this paper, we outline a model of position tracking using cortical columns of integrate-and-fire neurons which respond optimally to a particular location, to show that negatively-correlated firing patterns ...
However, these accounts fail to explain the functional role of inhibition in cortical columns, such as those in V1, where neurons have similar response properties. ...
Lateral inhibition within columns means neurons with the same response properties inhibiting each other. What could be the functional role for this local inhibitory mechanism? ...
doi:10.1007/s00422-006-0096-2
pmid:16964512
fatcat:3hbyyk4auvaxld2cng2fkevk4m
Uncorrelated Neural Firing in Mouse Visual Cortex during Spontaneous Retinal Waves
2017
Frontiers in Cellular Neuroscience
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However, whether the micro-patterning of activity within early bursts is unique to this early age and specifically tuned for early development is poorly understood, particularly within the column. ...
These findings suggest that the bursts of spontaneous activity during early visual development do not drive hyper-synchronous activity within columns. ...
spike correlations within a cortical column. ...
doi:10.3389/fncel.2017.00289
pmid:28979189
pmcid:PMC5611364
fatcat:shsrqprx45c6pp5wk2h2mthham
Sleep, synaptic homeostasis and neuronal firing rates
2017
Current Opinion in Neurobiology
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I will emphasize that central to SHY is the idea that what is being regulated across the sleep/wake cycle is synaptic strength, not firing rate, and firing rate taken in isolation is not necessarily an ...
The synaptic homeostasis hypothesis (SHY) states that wake brings about a net overall increase in synaptic strength in many brain circuits that needs to be renormalized by sleep. ...
Acknowledgments Supported by National Institute of Health grants 1R01MH099231 and 1P01NS083514. I thank Giulio Tononi for his comments. ...
doi:10.1016/j.conb.2017.03.016
pmid:28399462
pmcid:PMC5605801
fatcat:y7vxqqrygrfoza67ehx4lqcsdq
An integrate-and-fire spiking neural network model simulating artificially induced cortical plasticity
[article]
2020
bioRxiv
pre-print
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We describe an integrate-and-fire (IF) spiking neural network that incorporates spike-timing dependent plasticity (STDP) and simulates the experimental outcomes of four different conditioning protocols ...
A fourth protocol involved open-loop delivery of pairs of stimuli at neighboring cortical sites. ...
The ratio of the number of correlated to uncorrelated spikes each unit receives can be modified to control the degree of synchronization within a column. ...
doi:10.1101/2020.07.23.217265
fatcat:rkbxhicc4nhnbfewusgsqbs7bi
Modulation of Firing Rate by Background Synaptic Noise Statistics in Rat Visual Cortical Neurons
2010
Journal of Neurophysiology
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Here, the dependence of firing rate on the statistical properties of the excitatory to inhibitory balance (EI) in cortical pyramidal neurons was studied. ...
Modulation of firing rate by background synaptic noise statistics in rat visual cortical neurons. . ...
D I S C L O S U R E S No conflicts of interest, financial or otherwise, are declared by the authors. ...
doi:10.1152/jn.00023.2010
pmid:20739598
fatcat:kpleri325jcytkegtzq734hazi
An Integrate-and-Fire Spiking Neural Network Model Simulating Artificially Induced Cortical Plasticity
2021
eNeuro
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The model consists of integrate-and-fire (IF) spiking units and incorporates spike-timing-dependent plasticity (STDP). ...
We describe an integrate-and-fire (IF) spiking neural network that incorporates spike-timing-dependent plasticity (STDP) and simulates the experimental outcomes of four different conditioning protocols ...
The ratio of the number of correlated to uncorrelated spikes each unit receives can be modified to control the degree of synchronization within a column. ...
doi:10.1523/eneuro.0333-20.2021
pmid:33632810
pmcid:PMC7986529
fatcat:p462gtzymbe7toq2g6y26hxzpa
Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
2001
Neural Computation
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., common input by neurons, which do not re in synchrony) cannot induce suf cient postsynaptic correlation, we conclude that lateral couplings are essential to establish clusters of synchronously ring ...
We investigate the ring characteristics of conductance-based integrateand-re neurons and the correlation of ring for uncoupled pairs of neurons as a result of common input and synchronous ring of multiple ...
We also acknowledge the useful comments of the reviewers, which led to an improvement of this article. ...
doi:10.1162/089976601750399281
pmid:11516355
fatcat:yzf4grf6wbayfjmt42fj4x2c4q
Feedback Enhances Feedforward Figure-Ground Segmentation by Changing Firing Mode
2011
PLoS ONE
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In the visual cortex, feedback projections are conjectured to be crucial in figure-ground segregation. However, the precise function of feedback herein is unclear. ...
We propose that feedback controlsfigure-ground segregation by influencing the neural firing patterns of feedforward projecting neurons. ...
L Pérez for their helpful comments on earlier versions of the manuscript.
Author Contributions Conceived and designed the experiments: HS. Performed the experiments: HS AR. ...
doi:10.1371/journal.pone.0021641
pmid:21738747
pmcid:PMC3125197
fatcat:krdd3wf4zvhmlixpianzkvfnpq
Firing-Rate Based Network Modeling of the dLGN Circuit: Effects of Cortical Feedback on Spatiotemporal Response Properties of Relay Cells
[article]
2018
bioRxiv
pre-print
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Here we use a firing-rate model, the extended difference-of-gaussians (eDOG) model, to explore cortical feedback effects on visual responses of dLGN relay cells. ...
Despite four decades of experimental and theoretical studies, the functional role of this feedback is still debated. ...
Acknowledgments We wish to thank Svenn-Arne Dragly, Simen Tennøe, and Helene Midtfjord for their helpful inputs and discussions regarding the design of the pyLGN simulator. ...
doi:10.1101/246140
fatcat:24ak3fb52batves5x3qsdi5iie
Kindling Changes Burst Firing, Neural Synchrony and Tonotopic Organization of Cat Primary Auditory Cortex
2004
Cerebral Cortex
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Spontaneous activity of single units in fully kindled animals showed a decrease in the mean firing rate compared to sham controls, and a reduction in the rate of burst firing as well as in the mean interspike ...
A 40% enhancement of spontaneous neural synchrony, as measured by spike cross-correlation, was found. ...
Notes This investigation was supported by grants from the Alberta Heritage Foundation for Medical Research, the Neuroscience Canada Foundation, the Natural Sciences and Engineering Research Council of ...
doi:10.1093/cercor/bhh041
pmid:15054056
fatcat:wxe636yjpvefvde6koigazwkku
Correlated Connectivity and the Distribution of Firing Rates in the Neocortex
2009
Journal of Neuroscience
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Second, the distribution of nonzero synaptic strengths between nearby cortical neurons can also be described by a lognormal distribution. ...
Two recent experimental observations pose a challenge to many cortical models. First, the activity in the auditory cortex is sparse, and firing rates can be described by a lognormal distribution. ...
Later, we will include inhibitory neurons by making some of the matrix elements negative. ...
doi:10.1523/jneurosci.4500-08.2009
pmid:19321765
pmcid:PMC2784918
fatcat:dknfuwa3xnglpiehpzsrak46xe
In vitro Cortical Network Firing is Homeostatically Regulated: A Model for Sleep Regulation
2018
Scientific Reports
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Specifically, the inter-burst intervals decreased, the burst duration increased, the network showed higher cross-correlation and strong phasic synchronized burst activity. ...
Computer simulation suggested that a small number of clustered neurons could potently drive the behavior of the network both at baseline and during recovery. ...
Acknowledgements The work was supported by the Swiss National Science Foundation (146615 to M.T.), the University of Lausanne, and the Novartis Foundation (to M.T.). ...
doi:10.1038/s41598-018-24339-6
pmid:29674729
pmcid:PMC5908861
fatcat:u33dxymt3fdhtbic4whzqawyg4
Correlated Firing Improves Stimulus Discrimination in a Retinal Model
2004
Neural Computation
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Synchronous firing limits the amount of information that can be extracted by averaging the firing rates of similarly tuned neurons. ...
Here, we show that the loss of rate-coded information between retinal ganglion cells due to synchronous oscillations can be overcome by exploiting the information encoded by the correlations themselves ...
by cortical and sub-cortical neurons [Usrey, 2000 Alonso, 1996 . ...
doi:10.1162/0899766041941916
pmid:15476601
fatcat:eao6kj5k5nabjhbudlprsu7xc4
Burst Firing in Bee Gustatory Neurons Prevents Adaptation
2018
Current Biology
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Bursts of spikes resulted when a sucrose-activated GRN was inhibited by another GRN at a frequency of ~22 Hz during the first 1 s of stimulation. ...
Here, we show the first evidence that concentrated sugar evokes a temporally-structured, burst pattern of spiking involving two GRNs within the gustatory sensilla of bumblebees. ...
GRN 1 fired near the peak of the oscillatory component with a mean phase of 17±72° (mean ± SD), and GRN 2 spikes were positioned on the negative slope with a mean phase of 83 ± 36° (Figure 1 G) . ...
doi:10.1016/j.cub.2018.03.070
pmid:29754900
fatcat:2asne523nrfkxpnk6aus3nggsm
Dynamics of neuronal firing correlation: modulation of "effective connectivity"
1989
Journal of Neurophysiology
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These allow separation of the "raw" correlation into components caused by direct stimulus modulations of the single-neuron firing rates and those caused by various types of interaction between the two ...
Appropriate control calculations are made to allow the separation of direct stimulus effects from other contributions to the "raw" correlation. ...
A possible source for such correlations would be the neuron's refractory mechanism: the firing in one bin would be negatively correlated with the firing in adjacent bins (especially because WC assume our ...
doi:10.1152/jn.1989.61.5.900
pmid:2723733
fatcat:dvusgbkpvvdajj764q4d43y7ci
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