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On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing

Pavel A. Puzerey, Roberto F. Galán
2014 Frontiers in Computational Neuroscience  
maximize the rate of information transfer between cortical neurons.  ...  This led us to hypothesize that the correlation between excitatory and inhibitory synaptic inputs modulates the encoding of information of neural spike trains.  ...  In this study, we test the hypothesis that the rate of information transfer in cortical neurons depends on the correlation between concurrent excitatory and inhibitory synaptic inputs.  ... 
doi:10.3389/fncom.2014.00059 pmid:24936182 pmcid:PMC4047963 fatcat:o6j4d3wykbf2hhvllz2l6p7n2y

Synaptic E-I Balance Underlies Efficient Neural Coding

Shanglin Zhou, Yuguo Yu
2018 Frontiers in Neuroscience  
Then, we discuss how such excitatory and inhibitory balance shapes stimulus representation and information propagation, two basic functions of neural coding.  ...  We also point out the benefit of adopting such a balance during neural coding. We conclude that excitatory and inhibitory balance may be a fundamental mechanism underlying efficient coding.  ...  In some situations, even the measurement of firing rates of excitatory and inhibitory neurons or excitatory and inhibitory synaptic conductances received by a neuron can represent E/I balance for individual  ... 
doi:10.3389/fnins.2018.00046 pmid:29456491 pmcid:PMC5801300 fatcat:zenyhlabwvcz7eim2e422p64um

Efficient Coding and Energy Efficiency Are Promoted by Balanced Excitatory and Inhibitory Synaptic Currents in Neuronal Network

Lianchun Yu, Zhou Shen, Chen Wang, Yuguo Yu
2018 Frontiers in Cellular Neuroscience  
E/I Balance Promotes Energy Efficiency ratio of excitatory and inhibitory synaptic connections.  ...  We further proved this finding with analytical solution based on the response function of bistable neurons, and demonstrated that optimal net synaptic currents are capable of maximizing both the mutual  ...  ACKNOWLEDGMENTS We are thankful for the support from the National Natural Science Foundation of China (11564034, 11105062, 31571070, 81761128011)  ... 
doi:10.3389/fncel.2018.00123 pmid:29773979 pmcid:PMC5943499 fatcat:apvtqujs6jdpnjvjtymtecktom

Orientation tuning and synchronization in the hypercolumn model

Sang-Gui Lee, Shigeru Tanaka, Seunghwan Kim
2004 Physical Review E  
The orientation selectivity in the firing rate of neurons is one of the most well-known properties of neurons in the primary visual cortex.  ...  This suggests the importance of the balance between the excitatory coupling and the inhibitory coupling in the primary visual cortex for visual information processing.  ...  ACKNOWLEDGMENTS This work was supported by the Ministry of Science & Technology and the Ministry of Education in Korea.  ... 
doi:10.1103/physreve.69.011914 pmid:14995654 fatcat:4fqvdxbzc5ewfhdw6pw7gy5jxa

Effect of Short-Term Synaptic Plasticity on Correlated firing in Feedback Networks

Jinli Xie, Zhijie Wang, Haibo Shi
2011 International Journal of Computer Network and Information Security  
The firing activity of a neuronal population is correlated, which has been linked to information coding and exchanging.  ...  Numerical simulations reveal that the modulation of the correlated firing by dynamics of depression and facilitation is due to their effects on the synaptic strength.  ...  Acknowledgements This work was supported in part by a grant from the National Natural Science Foundation of China (Grant No. 61075105).  ... 
doi:10.5815/ijcnis.2011.04.03 fatcat:nznbppktuvf6pighoeekhshlny

Synchrony in neuronal communication: An energy efficient scheme

Siavash Ghavami, Vahid Rahmati, Farshad Lahouti, Lars Schwabe
2015 2015 Iran Workshop on Communication and Information Theory (IWCIT)  
We find that for a fixed input rate, the ISI distribution of the post synaptic neuron depends on the level of synchrony and is well-described by a Gamma distribution for synchrony levels less than 50%.  ...  For levels of synchrony between 15% and 50% (restricted for technical reasons), we compute the optimum input distribution that maximizes the mutual information per unit energy.  ...  The postsynaptic neuron receives the synaptic inputs from a network of excitatory and inhibitory neurons each firing with a Poisson process.  ... 
doi:10.1109/iwcit.2015.7140220 dblp:conf/iwcit/GhavamiRLS15 fatcat:sm7i7ggvefgzdihbkf7o5j653q

Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics

Yue Kris Wu, Keith B. Hengen, Gina G. Turrigiano, Julijana Gjorgjieva
2020 Proceedings of the National Academy of Sciences of the United States of America  
Moreover, our model indicates that synaptic scaling is crucial for the recovery of correlations and network structure, while intrinsic plasticity is essential for the rebound of firing rates, suggesting  ...  Using a computational model, we demonstrate that the interplay of different plasticity and homeostatic mechanisms can capture the initial drop and delayed recovery of firing rates and correlations observed  ...  We thank all members of J.G.'s group for comments and discussions.  ... 
doi:10.1073/pnas.1918368117 pmid:32917810 fatcat:ikir3tj6fzbm3fkk65oz4w7e6a

Learning to represent signals spike by spike [article]

Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denéve
2017 arXiv   pre-print
inputs with maximal accuracy.  ...  We provide exact solutions to the learnt optimal states, and we predict the properties of an entire network from its input distribution and the cost of activity.  ...  Tuning curves (firing rates as a function of the angle for two of the input signals, with the third signal clamped to zero) of the most active excitatory and inhibitory neurons.  ... 
arXiv:1703.03777v2 fatcat:yr3sungyr5gyzcpfdmc5hxmcle

Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links

Jun-nosuke Teramae, Yasuhiro Tsubo, Tomoki Fukai
2012 Scientific Reports  
Here, we show analytically and numerically, that recurrent neural networks can robustly generate internal noise optimal for spike transmission between neurons with the help of a long-tailed distribution  ...  neurons to input at sparse-strong connections, thus opening multiple signal transmission pathways.  ...  Acknowledgements The authors thank K. Harris for valuable comments on an early version of this manuscript. The authors greatly benefited from fruitful discussions with T. Vogels and L.F. Abbott.  ... 
doi:10.1038/srep00485 pmid:22761993 pmcid:PMC3387577 fatcat:izuf2su355abnmjbvkpkfnv3qu

Modulation of Firing Rate by Background Synaptic Noise Statistics in Rat Visual Cortical Neurons

Michael P. Sceniak, Shasta L. Sabo
2010 Journal of Neurophysiology  
Here, the dependence of firing rate on the statistical properties of the excitatory to inhibitory balance (EI) in cortical pyramidal neurons was studied.  ...  The dependence of neuronal firing rate on the EI delay of the noisy background synaptic conductance suggests that individual excitatory pyramidal neurons are sensitive to the EI balance of the synaptic  ...  A C K N O W L E D G M E N T S We thank the RTXI project ( for generous sharing of software. We also thank J. Bettencourt for helpful assistance with programming RTXI models and setup.  ... 
doi:10.1152/jn.00023.2010 pmid:20739598 fatcat:kpleri325jcytkegtzq734hazi

Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks

Stefano Cavallari, Stefano Panzeri, Alberto Mazzoni
2014 Frontiers in Neural Circuits  
The correlation between inhibitory and excitatory synaptic currents and the cross-neuron correlation between synaptic inputs, membrane potentials and spike trains were stronger and more stimulus-modulated  ...  Because of these properties, the spike train correlation carried more information about the strength of the input in the COBN, although the firing rates were equally informative in both network models.  ...  Salvagnini and C. Magri for useful advice on the software implementation of our simulations, and to D.  ... 
doi:10.3389/fncir.2014.00012 pmid:24634645 pmcid:PMC3943173 fatcat:yi6lp3o3lnat3o4td5sxd7pkce

Neural oscillations as a signature of efficient coding in the presence of synaptic delays [article]

Matthew Chalk, Boris Gutkin, Sophie Deneve
2015 bioRxiv   pre-print
To avoid firing unnecessary spikes, neurons need to share information about the network state.  ...  We show that the most efficient representation is achieved when: (i) spike times are entrained to a global Gamma rhythm (implying a consistent representation of the error); but (ii) few neurons fire on  ...  Thus, inhibitory and excitatory currents closely track each other (Fig. 7b) , with a high correlation between the amplitude of inhibitory and excitatory currents on each cycle (Fig. 7c) .  ... 
doi:10.1101/034736 fatcat:fljdfbndpvablog5pchdlqjdyq

Principles underlying the input-dependent formation and organization of memories

Juliane Herpich, Christian Tetzlaff
2019 Network Neuroscience  
However, how these three basic mechanisms are robustly implemented in an input-dependent manner by the underlying complex neuronal and synaptic dynamics is still unknown.  ...  Combining correlation-based synaptic plasticity and homeostatic synaptic scaling, we demonstrate that these mechanisms enable the reliable formation of sequences and associations between two memory items  ...  ACKNOWLEDGMENTS The authors thank the International Max Planck Research School for Physics of Biological and Complex Systems, Niedersächsisches Voraband University of Göttingen, for a Stipend to Juliane  ... 
doi:10.1162/netn_a_00086 pmid:31157312 pmcid:PMC6542621 fatcat:irtopxl6gzeadmgav7u6tudmbu

Neural oscillations as a signature of efficient coding in the presence of synaptic delays

Matthew Chalk, Boris Gutkin, Sophie Denève
2016 eLife  
To avoid firing unnecessary spikes, neurons need to share information about the network state.  ...  We show that the most efficient representation is when: (i) spike times are entrained to a global Gamma rhythm (implying a consistent representation of the error); but (ii) few neurons fire on each cycle  ...  Support from the Basic Research Program of the National Research University Higher School of Economics is gratefully acknowledged by BSG.  ... 
doi:10.7554/elife.13824 pmid:27383272 pmcid:PMC4959845 fatcat:i4dipws2nzf4xldvqb6xfuauhu

Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments

Maxim Volgushev, Vladimir Ilin, Ian H Stevenson
2015 BMC Neuroscience  
Note that detection of inputs improves with higher firing rates and that inhibitory inputs require longer recording periods than detection of excitatory inputs.  ...  By analyzing the firing of neurons in response to these artificial inputs, we ask 1) How does functional connectivity inferred from spikes relate to simulated synaptic input?  ...  Note that detection of inputs improves with higher firing rates and that inhibitory inputs require longer recording periods than detection of excitatory inputs.  ... 
doi:10.1186/1471-2202-16-s1-p239 pmcid:PMC4699126 fatcat:x4itmyyjjfadrnu6wg7cijtvri
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