{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T16:14:43Z","timestamp":1777047283617,"version":"3.51.4"},"reference-count":52,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2011,10,27]],"date-time":"2011-10-27T00:00:00Z","timestamp":1319673600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1002250","type":"journal-article","created":{"date-parts":[[2011,10,27]],"date-time":"2011-10-27T16:42:07Z","timestamp":1319733727000},"page":"e1002250","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":176,"title":["A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields"],"prefix":"10.1371","volume":"7","author":[{"given":"Joel","family":"Zylberberg","sequence":"first","affiliation":[]},{"given":"Jason Timothy","family":"Murphy","sequence":"additional","affiliation":[]},{"given":"Michael Robert","family":"DeWeese","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2011,10,27]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1037\/h0054663","article-title":"Some informational aspects of visual psychology.","volume":"61","author":"F Attneave","year":"1954","journal-title":"Psychol Rev"},{"key":"ref2","first-page":"217","article-title":"Possible principles underlying the transformation of sensory messages.","author":"HB Barlow","year":"1961"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1162\/neco.1992.4.2.196","article-title":"What does the retina know about natural scenes.","volume":"4","author":"JJ Atick","year":"1992","journal-title":"Neural Comput"},{"key":"ref4","first-page":"186","article-title":"An application of the principle of maximum information preservation to linear systems.","author":"R Linsker","year":"1986"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1515\/znc-1981-9-1040","article-title":"A simple coding procedure enhances a neuron's information capacity.","volume":"36","author":"SB Laughlin","year":"1981","journal-title":"Z Naturforsch C"},{"key":"ref6","first-page":"363","article-title":"Optimal sampling of natural images: a design principle for the visual system.","author":"W Bialek","year":"1991"},{"key":"ref7","article-title":"Could information theory provide an ecological theory of sensory processing?","author":"JJ Atick","year":"1992"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/0378-4371(93)90563-J","article-title":"Bits and brains: information flow in the nervous system.","volume":"200","author":"W Bialek","year":"1993","journal-title":"Physica A"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"3327","DOI":"10.1016\/S0042-6989(97)00121-1","article-title":"The \u201cindependent components\u201d of natural scenes are edge filters.","volume":"37","author":"AJ Bell","year":"1997","journal-title":"Vis Res"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"2413","DOI":"10.1016\/S0042-6989(01)00114-6","article-title":"A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images.","volume":"41","author":"A Hyv\u00e4rinen","year":"2001","journal-title":"Vis Res"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"14419","DOI":"10.1073\/pnas.1004906107","article-title":"Optimal population coding by noisy spiking neurons.","volume":"107","author":"G Tka\u010dik","year":"2010","journal-title":"Proc Natl Acad Sci USA"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1088\/0954-898X_7_2_013","article-title":"Optimization principles for the neural code.","volume":"7","author":"M DeWeese","year":"1996","journal-title":"Network"},{"key":"ref13","article-title":"Spikes: exploring the neural code","author":"F Rieke","year":"1999"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"3351","DOI":"10.1523\/JNEUROSCI.16-10-03351.1996","article-title":"Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory.","volume":"16","author":"Y Dan","year":"1996","journal-title":"J Neurosci"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/BF02331346","article-title":"Forming sparse representations by a local anti-hebbian rule.","volume":"64","author":"P F\u00f6ldi\u00e1k","year":"1990","journal-title":"Biol Cybern"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","article-title":"Sparse coding with an overcomplete basis set: a strategy employed by v1?","volume":"37","author":"BA Olshausen","year":"1997","journal-title":"Vis Res"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1038\/381607a0","article-title":"Emergence of simple-cell receptive field properties by learning a sparse code for natural images.","volume":"381","author":"BA Olshausen","year":"1996","journal-title":"Nature"},{"key":"ref18","first-page":"181","article-title":"Sparse coding in the neocortex.","author":"DJ Graham","year":"2007"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/S0960-9822(03)00135-0","article-title":"The cost of cortical computation.","volume":"13","author":"P Lennie","year":"2003","journal-title":"Curr Biol"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1371\/journal.pbio.0060016","article-title":"Sparse representation of sounds in the unanesthetized auditory cortex.","volume":"6","author":"T Hrom\u00e1dka","year":"2008","journal-title":"PLoS Biol"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"2904","DOI":"10.1523\/JNEUROSCI.22-07-02904.2002","article-title":"Natural stimulation of the nonclassical receptive field increases information transmission efficiency in v1.","volume":"22","author":"WE Vinje","year":"2002","journal-title":"J Neurosci"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1126\/science.287.5456.1273","article-title":"Sparse coding and decorrelation in primary visual cortex during natural vision.","volume":"287","author":"WE Vinje","year":"2000","journal-title":"Science"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.neuron.2009.12.005","article-title":"Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation.","volume":"65","author":"BA Haider","year":"2010","journal-title":"Neuron"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"2355","DOI":"10.1523\/JNEUROSCI.3869-08.2009","article-title":"The sparseness of neuronal responses in ferret primary visual cortex.","volume":"29","author":"DJ Tolhurst","year":"2009","journal-title":"J Neurosci"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.neuron.2009.09.020","article-title":"Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex.","volume":"64","author":"S Sakata","year":"2009","journal-title":"Neuron"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1152\/jn.2002.88.1.455","article-title":"Spatial structure and asymmetry of simple-cell receptive fields in macaque primary visual cortex.","volume":"88","author":"D Ringach","year":"2002","journal-title":"J Neurophysiol"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s10827-006-0003-9","article-title":"A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields.","volume":"22","author":"M Rehn","year":"2007","journal-title":"J Comput Neurosci"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","article-title":"Compressed sensing.","volume":"52","author":"DL Donoho","year":"2004","journal-title":"IEEE trans inform theory"},{"key":"ref29","first-page":"74460S-1","article-title":"Learning real and complex overcomplete representations from the statistics of natural images.","volume":"7446","author":"BA Olshausen","year":"2009","journal-title":"Proc SPIE"},{"key":"ref30","article-title":"Theoretical neuroscience: computational and mathematical modelling of neural systems","author":"P Dayan","year":"2001"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.neucom.2004.01.010","article-title":"Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit.","volume":"57","author":"L Perrinet","year":"2004","journal-title":"Neurocomput"},{"key":"ref32","first-page":"539","article-title":"Networks of integrate-and-fire neurons using rank order coding b: spike timing dependent plasticity and emergence of orientation selectivity.","volume":"38","author":"A Delorme","year":"2000","journal-title":"Neurocomput"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1812","DOI":"10.1162\/neco.2010.05-08-795","article-title":"Role of homeostasis in learning sparse representations.","volume":"22","author":"L Perrinet","year":"2010","journal-title":"Neural Comput"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"e31","DOI":"10.1371\/journal.pcbi.0030031","article-title":"Unsupervised learning of visual features through spike timing dependent plasticity.","volume":"3","author":"T Masquelier","year":"2007","journal-title":"PLoS Comput Biol"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"2593","DOI":"10.1016\/S0042-6989(02)00298-5","article-title":"Surfing a spike wave down the ventral steam.","volume":"42","author":"R VanRullen","year":"2002","journal-title":"Vis Res"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"e1000757","DOI":"10.1371\/journal.pcbi.1000757","article-title":"Independent component analysis in spiking neurons.","volume":"6","author":"S Savin","year":"2010","journal-title":"PLoS Comput Biol"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/089976606775093891","article-title":"A simple hebbian\/anti-hebbian network learns the sparse, independent components of natural images.","volume":"18","author":"MS Falconbridge","year":"2006","journal-title":"Neural Comput"},{"key":"ref38","first-page":"0507","article-title":"Highly nonrandom features of synaptic connectivity in local cortical circuits.","volume":"3","author":"S Song","year":"2005","journal-title":"PLoS Biol"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"2526","DOI":"10.1162\/neco.2008.03-07-486","article-title":"Sparse coding via thresholding and local competition in neural circuits.","volume":"20","author":"CJ Rozell","year":"2008","journal-title":"Neural Comput"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.1073\/pnas.81.10.3088","article-title":"Neurons with graded responses have collective properties like those of two-state neurons.","volume":"81","author":"J Hopfield","year":"1984","journal-title":"Proc Natl Acad Sci USA"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/BF00275687","article-title":"A simplified neuron model as a principal component analyzer.","volume":"15","author":"E Oja","year":"1982","journal-title":"J Math Biol"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1126\/science.2063199","article-title":"Reading a neural code.","volume":"252","author":"W Bialek","year":"1991","journal-title":"Science"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"1775","DOI":"10.1098\/rspb.1997.0246","article-title":"Responses of neurons in primary and inferior temporal visual cortices.","volume":"264","author":"R Baddeley","year":"1997","journal-title":"Proc R Soc Lon B"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1088\/0954-898X_1_1_002","article-title":"Firing patterns of single units in the prefrontal cortex and neural network models.","volume":"1","author":"M Abeles","year":"1990","journal-title":"Network"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"2638","DOI":"10.1046\/j.1460-9568.2003.03007.x","article-title":"Complexity and temporal dynamics of frequency coding in the awake rat auditory cortex.","volume":"18","author":"BH Gaese","year":"2003","journal-title":"Eur J Neurosci"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1038\/nn.2479","article-title":"Connectivity reects coding: a model of voltage-based stdp with homeostasis.","volume":"13","author":"C Clopath","year":"2010","journal-title":"Nat Neurosci"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1126\/science.1179867","article-title":"Decorrelated neuronal firing in cortical microcircuits.","volume":"327","author":"A Ecker","year":"2010","journal-title":"Science"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1126\/science.1179850","article-title":"The asynchronous state in cortical circuits.","volume":"327","author":"A Renart","year":"2010","journal-title":"Science"},{"key":"ref49","first-page":"505","article-title":"Learning horizontal connections in a sparse coding model of natural images.","author":"PJ Garrigues","year":"2008"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"3685","DOI":"10.1523\/JNEUROSCI.4500-08.2009","article-title":"Correlated connectivity and the distribution of firing rates in the neocortex.","volume":"29","author":"AA Koulakov","year":"2009","journal-title":"J Neurosci"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1152\/physrev.00030.2005","article-title":"Spike timing-dependent plasticity: from synapse to perception.","volume":"86","author":"Y Dan","year":"2006","journal-title":"Physiol Rev"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1126\/science.7770778","article-title":"Reliability of spike timing in neocortical neurons.","volume":"286","author":"ZF Mainen","year":"1995","journal-title":"Science"}],"container-title":["PLoS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1002250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T19:41:26Z","timestamp":1588966886000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1002250"}},"subtitle":[],"editor":[{"given":"Olaf","family":"Sporns","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2011,10,27]]},"references-count":52,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2011,10,27]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1002250","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,10,27]]}}}