{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T18:38:11Z","timestamp":1791139091263,"version":"4.1.0"},"reference-count":86,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2012,3,22]],"date-time":"2012-03-22T00:00:00Z","timestamp":1332374400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Comput Neurosci"],"published-print":{"date-parts":[[2012,10]]},"DOI":"10.1007\/s10827-012-0390-z","type":"journal-article","created":{"date-parts":[[2012,3,22]],"date-time":"2012-03-22T21:02:03Z","timestamp":1332450123000},"page":"371-388","source":"Crossref","is-referenced-by-count":20,"title":["A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical data"],"prefix":"10.1007","volume":"33","author":[{"given":"Yuriy","family":"Mishchenko","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liam","family":"Paninski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2012,3,22]]},"reference":[{"issue":"3","key":"390_CR1","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/0306-4522(89)90424-7","volume":"31","author":"DG Amaral","year":"1989","unstructured":"Amaral, D. G. & Witter, M. P. (1989). The three-dimensional organization of the hippocampal formation: A review of anatomical data. Neuroscience, 31(3), 571\u2013591.","journal-title":"Neuroscience"},{"key":"390_CR2","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/nature09802","volume":"471","author":"DD Bock","year":"2011","unstructured":"Bock, D. D., Lee, W. C., Kerlin, A. M., Andermann, M. L., Hood, G., Wetzel, A. W., et al. (2011). Network anatomy and in vivo physiology of visual cortical neurons. Nature, 471, 177\u2013182.","journal-title":"Nature"},{"key":"390_CR3","doi-asserted-by":"crossref","first-page":"1000334","DOI":"10.1371\/journal.pcbi.1000334","volume":"5","author":"J Bohland","year":"2009","unstructured":"Bohland, J., Wu, C., Barbas, H., Hermant, B., Bota, M., Breiter, H., et al. (2009). A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLoS Computational Biology, 5, e1000334.","journal-title":"PLoS Computational Biology"},{"key":"390_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3, 1\u2013122.","journal-title":"Foundations and Trends in Machine Learning"},{"key":"390_CR5","doi-asserted-by":"crossref","unstructured":"Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Oxford University Press.","DOI":"10.1017\/CBO9780511804441"},{"key":"390_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-03733-1","volume-title":"Cortex: Statistics and geometry of neuronal connectivity","author":"V Braitenberg","year":"1998","unstructured":"Braitenberg, V., & Schuz, A. (1998). Cortex: Statistics and geometry of neuronal connectivity. Berlin: Springer."},{"key":"390_CR7","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1016\/j.conb.2006.08.010","volume":"16","author":"KL Briggman","year":"2006","unstructured":"Briggman, K. L., & Denk, W. (2006). Towards neural circuit reconstruction with volume electron microscopy techniques. Current Opinions in Neurobiology, 16, 562.","journal-title":"Current Opinions in Neurobiology"},{"key":"390_CR8","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1038\/nature09818","volume":"471","author":"KL Briggman","year":"2011","unstructured":"Briggman, K. L., Helmstaedter, M., & Denk, W. (2011). Wiring specificity in the direction-selectivity circuit of the retina. Nature, 471, 183\u2013188.","journal-title":"Nature"},{"key":"390_CR9","volume-title":"Brodmann\u2019s \u2018Localisation in the Cerebral Cortex\u2019","author":"K Brodmann","year":"1994","unstructured":"Brodmann, K. (1994). Brodmann\u2019s \u2018Localisation in the Cerebral Cortex\u2019. London, UK: Smith-Gordon."},{"key":"390_CR10","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.neuron.2006.07.018","volume":"51","author":"BM Broome","year":"2006","unstructured":"Broome, B. M., Jayaraman, V., & Laurent, G. (2006). Encoding and decoding of overlapping odor sequences. Neuron, 51, 467\u2013482.","journal-title":"Neuron"},{"key":"390_CR11","doi-asserted-by":"crossref","unstructured":"Buhlmann, P., & van de Geer, S. (2011). Statistics for high-dimensional data. Springer.","DOI":"10.1007\/978-3-642-20192-9"},{"issue":"5","key":"390_CR12","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1016\/j.neuron.2004.05.002","volume":"42","author":"I Bureau","year":"2004","unstructured":"Bureau, I., Shepherd, G. M., & Svoboda, K. (2004). Precise development of functional and anatomical columns in the neocortex. Neuron, 42(5), 789\u2013801.","journal-title":"Neuron"},{"key":"390_CR13","unstructured":"Burton, B. (1999). Automated 3D reconstruction of neuronal structures from serial sections. PhD thesis, Texas A&M University."},{"key":"390_CR14","volume-title":"Histologie du systeme nerveux de l\u2019homme et des vertebres, (Vol. 2)","author":"R Cajal","year":"1911","unstructured":"Cajal, R. (1911). Histologie du systeme nerveux de l\u2019homme et des vertebres, (Vol. 2). Madrid, Instituto Ramon y Cajal."},{"key":"390_CR15","doi-asserted-by":"crossref","first-page":"7661","DOI":"10.1073\/pnas.90.16.7661","volume":"90","author":"E Callaway","year":"1993","unstructured":"Callaway, E., & Katz, L. (1993). Photostimulation using caged glutamate reveals functional circuitry in living brain slices. PNAS, 90, 7661\u20137665.","journal-title":"PNAS"},{"key":"390_CR16","unstructured":"Candes, E. J., & Romberg, J. (2005). Practical signal recovery from random projections. Wavelet applications in signal and image processing XI, Proc. (p. 5914)."},{"issue":"2","key":"390_CR17","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"EJ Candes","year":"2006","unstructured":"Candes, E. J., Romberg, J., & Tao, T. (2006). Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2), 489\u2013509.","journal-title":"IEEE Transactions on Information Theory"},{"key":"390_CR18","doi-asserted-by":"crossref","first-page":"2053","DOI":"10.1109\/TIT.2010.2044061","volume":"56","author":"EJ Candes","year":"2010","unstructured":"Candes, E. J., & Tao, T. (2010). The power of convex relaxation: Near-optimal matrix completion. IEEE Transactions on Information Theory, 56, 2053\u20132080.","journal-title":"IEEE Transactions on Information Theory"},{"issue":"2","key":"390_CR19","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/MSP.2007.914731","volume":"25","author":"EJ Candes","year":"2008","unstructured":"Candes, E. J., & Wakin, M. (2008). An introduction to compressive sampling. IEEE Signal Processing Magazine, 25(2), 21\u201330.","journal-title":"IEEE Signal Processing Magazine"},{"key":"390_CR20","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1038\/450035a","volume":"450","author":"SH Chalasani","year":"2007","unstructured":"Chalasani, S. H., Chronis, N., Tsunozaki, M., Gray, J. M., Ramot, D., Goodman, M. B., et al. (2007). Dissecting a circuit for olfactory behaviour in Caenorhabditis elegans. Nature, 450, 35.","journal-title":"Nature"},{"key":"390_CR21","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1109\/TNSRE.2010.2086079","volume":"19","author":"Z Chen","year":"2011","unstructured":"Chen, Z., Putrino, D. F., Ghosh, S., Barbieri, R., & Brown, E. N. (2011). Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19, 121\u2013135.","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"390_CR22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cub.2010.11.056","volume":"21","author":"A-S Chiang","year":"2011","unstructured":"Chiang, A.-S., Lin, C.-Y., Chuang, C.-C., Chang, H.-M., Hsieh, C.-H., Yeh, C.-W., et al. (2011). Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution. Current Biology, 21, 1\u201311.","journal-title":"Current Biology"},{"key":"390_CR23","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1371\/journal.pbio.0020329","volume":"2","author":"W Denk","year":"2004","unstructured":"Denk, W., & Horstmann, H. (2004). Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure. PLOS Biol., 2, e329.","journal-title":"PLOS Biol."},{"key":"390_CR24","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D Donoho","year":"2006","unstructured":"Donoho, D. (2006). Compressed sensing. IEEE Trans. on Information Theory, 52, 1289\u20131306.","journal-title":"IEEE Trans. on Information Theory"},{"key":"390_CR25","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1073\/pnas.0437847100","volume":"100","author":"D Donoho","year":"2003","unstructured":"Donoho, D., & Elad, M. (2003). Optimally sparse representation in general (nonorthogonal) dictionaries via L1 minimization. PNAS, 100, 2197\u20132202.","journal-title":"PNAS"},{"key":"390_CR26","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004). Least angle regression. Annals of Statistics, 32, 407\u2013499.","journal-title":"Annals of Statistics"},{"key":"390_CR27","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.neuron.2007.11.030","volume":"57","author":"EH Feinberg","year":"2008","unstructured":"Feinberg, E. H., Vanhoven, M. K., Bendesky, A., Wang, G., Fetter, R. D., Shen, K., et al. (2008). GFP Reconstitution Across Synaptic Partners (GRASP) defines cell contacts and synapses in living nervous systems. Neuron, 57, 353\u2013363.","journal-title":"Neuron"},{"key":"390_CR28","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/10618600.1998.10474784","volume":"7","author":"WJ Fu","year":"1998","unstructured":"Fu, W. J. (1998). Penalized regressions: the bridge versus the lasso. Journal of Computational and Graphical Statistics, 7, 397\u2013416.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"390_CR29","unstructured":"Goldfarb, D., Ma, S., & Scheinberg, K. (2010). Fast alternating linearization methods for minimizing the sum of two convex functions. Columbia University IEOR Technical Report."},{"key":"390_CR30","unstructured":"Grandvalet, Y., & Canu, S. (1998). Outcomes of the equivalence of adaptive ridge with least absolute shrinkage. In Proceedings of NIPS (pp. 445\u2013451)."},{"key":"390_CR31","doi-asserted-by":"crossref","first-page":"3184","DOI":"10.1073\/pnas.0409009101","volume":"102","author":"JM Gray","year":"2005","unstructured":"Gray, J. M., Hill, J. J., & Bargmann, C. I. (2005). A circuit for navigation in Caenorhabditis elegans. PNAS, 102, 3184.","journal-title":"PNAS"},{"issue":"7","key":"390_CR32","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1371\/journal.pbio.0060159","volume":"6","author":"P Hagmann","year":"2008","unstructured":"Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C., Wedeen, V., et al. (2008). Mapping the structural core of human cerebral cortex. PLoS Biology, 6(7), e159.","journal-title":"PLoS Biology"},{"issue":"7","key":"390_CR33","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1371\/journal.pone.0000597","volume":"2","author":"P Hagmann","year":"2007","unstructured":"Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V., Meuli, R., et al. (2007). Mapping human whole-brain structural networks with Diffusion MRI. PLoS ONE, 2(7), e597.","journal-title":"PLoS ONE"},{"key":"390_CR34","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., & Friedman, J. (2001). The elements of statistical learning. Springer.","DOI":"10.1007\/978-0-387-21606-5"},{"key":"390_CR35","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1038\/373663b0","volume":"373","author":"R Heim","year":"1995","unstructured":"Heim, R., Cubitt, A., & Tsien, R. (1995). Improved green fluorescence. Nature, 373, 663\u2013664.","journal-title":"Nature"},{"key":"390_CR36","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.conb.2009.03.005","volume":"18","author":"M Helmstaedter","year":"2008","unstructured":"Helmstaedter, M., Briggman, K. L., & Denk, W. (2008). 3D structural imaging of the brain with photons and electrons. Current Opinions in Neurobiology, 18, 633\u2013641.","journal-title":"Current Opinions in Neurobiology"},{"key":"390_CR37","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1038\/nn.2868","volume":"14","author":"M Helmstaedter","year":"2011","unstructured":"Helmstaedter, M., Briggman, K. L., & Denk, W. (2011). High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nature Neuroscience, 14, 1081\u20131088.","journal-title":"Nature Neuroscience"},{"key":"390_CR38","unstructured":"Hu, T., Leonardo, A., & Chklovskii, D. (2009). Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME). In NIPS 2009, Poster."},{"key":"390_CR39","unstructured":"Kandel, E. R., Schwartz, J. H., & Jessel, T. M. (2000). Principles of neural science. McGraw-Hill Professional."},{"key":"390_CR40","first-page":"1099","volume":"23","author":"RC Kelly","year":"2010","unstructured":"Kelly, R. C., Kass, R. E., Smith, M. A., & Lee, T. S. (2010). Accounting for network effects in neuronal responses using l1 regularized point process models. Advances in Neural Information Processing Systems, 23, 1099\u20131107.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"390_CR41","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1038\/nmeth.1784","volume":"9","author":"J Kim","year":"2011","unstructured":"Kim, J., Zhao, T., Petralia, R. S., H, P., Myers, E., & Magee, J. (2011). mGRASP enables mapping mammalian synaptic connectivity with light microscopy. Nature Methods, 9, 96\u2013102.","journal-title":"Nature Methods"},{"key":"390_CR42","doi-asserted-by":"crossref","unstructured":"Kim, Y., & Kim, J. (2004). Gradient lasso for feature selection. In ICML\u201904: Proceedings of the twenty-first international conference on machine learning (p. 60).","DOI":"10.1145\/1015330.1015364"},{"key":"390_CR43","unstructured":"Kutner, M., Nachtsheim, C., Neter, J., & Li, W. (2005). Applied linear statistical models. McGraw-Hill."},{"key":"390_CR44","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/0166-2236(90)90071-H","volume":"13","author":"H Kuypers","year":"1990","unstructured":"Kuypers, H., & Ugolini, G. (1990). Viruses as transneuronal tracers. Trends in Neurosciences, 13, 71\u201375.","journal-title":"Trends in Neurosciences"},{"key":"390_CR45","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1038\/nrn2391","volume":"9","author":"JW Lichtman","year":"2008","unstructured":"Lichtman, J. W., Livet, J., & Sanes, J. R. (2008). A technicolour approach to the connectome. Nature Reviews Neuroscience, 9, 417\u2013422.","journal-title":"Nature Reviews Neuroscience"},{"key":"390_CR46","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/nature06293","volume":"450","author":"J Livet","year":"2007","unstructured":"Livet, J., Weissman, T., Kang, H., Draft, R., Lu, J., Bennis, R., et al. (2007). Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system. Nature, 450, 56\u201362.","journal-title":"Nature"},{"issue":"5","key":"390_CR47","doi-asserted-by":"crossref","first-page":"5655","DOI":"10.1371\/journal.pone.0005655","volume":"4","author":"J Lu","year":"2009","unstructured":"Lu, J., Fiala, J. C., & Lichtman, J. W. (2009). Semi-automated reconstruction of neural processes from large numbers of fluorescence images. PLoS ONE, 4(5), e5655.","journal-title":"PLoS ONE"},{"key":"390_CR48","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.neuron.2008.01.002","volume":"57","author":"L Luo","year":"2008","unstructured":"Luo, L., Callaway, E. M., & Svoboda, K. (2008). Genetic dissection of neural circuits. Neuron, 57, 634\u2013660.","journal-title":"Neuron"},{"key":"390_CR49","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1111\/j.1467-9868.2010.00740.x","volume":"72","author":"N Meinshausen","year":"2010","unstructured":"Meinshausen, N., & Buehlmann, P. (2010). Stability selection. Journal of the Royal Statistical Society: Series B, 72, 417\u2013473.","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"390_CR50","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.neuron.2010.09.024","volume":"68","author":"KD Micheva","year":"2010","unstructured":"Micheva, K. D., Busse, B., Weiler, N. C., O\u2019Rourke, N., & Smith, S. J. (2010). Single-synapse analysis of a diverse synapse population: Proteomic imaging methods and markers. Neuron, 68, 639\u2013653.","journal-title":"Neuron"},{"issue":"1","key":"390_CR51","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.neuron.2007.06.014","volume":"55","author":"KD Micheva","year":"2007","unstructured":"Micheva, K. D., & Smith, S.\u00a0J. (2007). Array tomography: A new tool for imaging the molecular architecture and ultrastructure of neural circuits. Neuron, 55(1), 25\u201336.","journal-title":"Neuron"},{"key":"390_CR52","unstructured":"Mishchenko, Y. (2008). Strategies for identifying exact structure of neural circuits with broad light microscopy connectivity probes. Nature Precedings Preprint. http:\/\/precedings.nature.com\/documents\/2669 ."},{"key":"390_CR53","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.jneumeth.2008.09.006","volume":"176","author":"Y Mishchenko","year":"2009","unstructured":"Mishchenko, Y. (2009). Automation of 3D reconstruction of neural tissue from large volume of conventional serial section transmission electron micrographs. Journal of Neuroscience Methods, 176, 276\u2013289.","journal-title":"Journal of Neuroscience Methods"},{"key":"390_CR54","doi-asserted-by":"crossref","first-page":"8853","DOI":"10.1371\/journal.pone.0008853","volume":"5","author":"Y Mishchenko","year":"2010","unstructured":"Mishchenko, Y. (2010). On optical detection of densely labeled synapses in neuropil and mapping connectivity with combinatorially multiplexed fluorescent synaptic markers. PLOS ONE, 5, e8853.","journal-title":"PLOS ONE"},{"key":"390_CR55","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.jneumeth.2011.01.021","volume":"196","author":"Y Mishchenko","year":"2011","unstructured":"Mishchenko, Y. (2011). Reconstruction of complete connectivity matrix for connectomics by sampling neural connectivity with fluorescent synaptic markers. Journal of Neuroscience Methods, 196, 289\u2013302.","journal-title":"Journal of Neuroscience Methods"},{"key":"390_CR56","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1016\/j.neuron.2010.08.014","volume":"67","author":"Y Mishchenko","year":"2010","unstructured":"Mishchenko, Y., Hu, T., Spacek, J., Mendenhall, J., Harris, K. M., & Chklovskii, D. B. (2010). Ultrastructural analysis of hippocampal neuropil from the connectomics perspective. Neuron, 67, 1009\u20131020.","journal-title":"Neuron"},{"key":"390_CR57","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1214\/09-AOAS303","volume":"5","author":"Y Mishchenko","year":"2011","unstructured":"Mishchenko, Y., Vogelstein, J., & Paninski, L. (2011). A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data. Annals of Applied Statistics, 5, 1229\u20131261.","journal-title":"Annals of Applied Statistics"},{"key":"390_CR58","first-page":"78","volume":"21","author":"A Ng","year":"2014","unstructured":"Ng, A. (2004). Feature selection, L1 vs. L2 regularization, and rotational invariance. ICML, 21, 78.","journal-title":"ICML"},{"key":"390_CR59","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1038\/nmeth1105","volume":"4","author":"V Nikolenko","year":"2007","unstructured":"Nikolenko, V., Poskanzer, K., & Yuste, R. (2007). Two-photon photostimulation and imaging of neural circuits. Nature Methods, 4, 943\u2013950.","journal-title":"Nature Methods"},{"key":"390_CR60","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1080\/10618600.2000.10474883","volume":"9","author":"M Osborne","year":"2000","unstructured":"Osborne, M., Presnell, B., & Turlach, B. (2000a). On the LASSO and its dual. Journal of Computational and Graphical Statistics, 9, 319\u2013337.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"390_CR61","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1093\/imanum\/20.3.389","volume":"20","author":"M Osborne","year":"2000","unstructured":"Osborne, M., Presnell, B., & Turlach, B. A. (2000b). A new approach to variable selection in least squares problems. IMA Journal of Numerical Analysis, 20, 389\u2013403.","journal-title":"IMA Journal of Numerical Analysis"},{"key":"390_CR62","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1198\/016214508000000337","volume":"103","author":"T Park","year":"2008","unstructured":"Park, T., & Casella, G. (2008). The Bayesian Lasso. Journal of the American Statistical Association, 103, 681\u2013686.","journal-title":"Journal of the American Statistical Association"},{"key":"390_CR63","first-page":"1333","volume":"3","author":"S Perkins","year":"2003","unstructured":"Perkins, S., Lacker, K., & Theiler, J. (2003). Grafting: Fast, incremental feature selection by gradient descent in function space. Journal of Machine Learning Research, 3, 1333\u20131356.","journal-title":"Journal of Machine Learning Research"},{"key":"390_CR64","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1038\/nn1891","volume":"10","author":"L Petreanu","year":"2007","unstructured":"Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007). Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections. Nature Neuroscience, 10, 663\u2013668.","journal-title":"Nature Neuroscience"},{"key":"390_CR65","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1038\/nature07140","volume":"454","author":"J Pillow","year":"2008","unstructured":"Pillow, J., Shlens, J., Paninski, L., Sher, A., Litke, A., Chichilnisky, E., et al. (2008). Spatiotemporal correlations and visual signaling in a complete neuronal population. Nature, 454, 995\u2013999.","journal-title":"Nature"},{"key":"390_CR66","unstructured":"Ramon y Cajal, S. (1904). La Textura del Sistema Nerviosa del Hombre y los Vertebrados. Moya."},{"issue":"2","key":"390_CR67","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/MSP.2007.914729","volume":"25","author":"J Romberg","year":"2008","unstructured":"Romberg, J. (2008). Imaging via compressive sampling. IEEE Signal Processing Magazine, 25(2), 14\u201320.","journal-title":"IEEE Signal Processing Magazine"},{"key":"390_CR68","unstructured":"Sardy, S., Bruce, A., & Tseng, P. (1998). Block coordinate relaxation methods for nonparametric signal denoising with wavelet dictionaries. Technical report, Technical report, Seattle, WA."},{"issue":"7","key":"390_CR69","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1371\/journal.pbio.0050189","volume":"5","author":"TR Sato","year":"2007","unstructured":"Sato, T. R., Gray, N. W., Mainen, Z. F., & Svoboda, K. (2007). The functional microarchitecture of the mouse barrel cortex. PLoS Biology, 5(7), e189.","journal-title":"PLoS Biology"},{"key":"390_CR70","doi-asserted-by":"crossref","first-page":"5670","DOI":"10.1523\/JNEUROSCI.1173-05.2005","volume":"25","author":"GM Shepherd","year":"2005","unstructured":"Shepherd, G. M., & Svoboda, K. (2005). Laminar and columnar organization of ascending excitatory projections to layer 2\/3 pyramidal neurons in rat barrel cortex. Journal of Neuroscience, 25, 5670\u20135679.","journal-title":"Journal of Neuroscience"},{"key":"390_CR71","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/S0896-6273(03)00152-1","volume":"38","author":"GMG Shepherd","year":"2003","unstructured":"Shepherd, G. M. G., Pologruto, T. A., & Svoboda, K. (2003). Circuit analysis of experience-dependent plasticity in the developing rat barrel cortex. Neuron, 38, 277.","journal-title":"Neuron"},{"key":"390_CR72","doi-asserted-by":"crossref","first-page":"2246","DOI":"10.1093\/bioinformatics\/btg308","volume":"19","author":"SK Shevade","year":"2003","unstructured":"Shevade, S. K., & Keerthi, S. S. (2003). A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19, 2246\u20132253.","journal-title":"Bioinformatics"},{"issue":"5","key":"390_CR73","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.conb.2007.11.004","volume":"17","author":"SJ Smith","year":"2007","unstructured":"Smith, S. J. (2007). Circuit reconstruction tools today. Curr Opin Neurobiol, 17(5), 601\u2013608. (Journal Article Review England)","journal-title":"Curr Opin Neurobiol"},{"key":"390_CR74","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1371\/journal.pbio.0030068","volume":"3","author":"S Song","year":"2005","unstructured":"Song, S., Sjostrom, P. J., Reiql, M., Nelson, S., & Chklovskii, D. B. (2005). Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biology, 3, e68.","journal-title":"PLoS Biology"},{"key":"390_CR75","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1093\/cercor\/bhm027","volume":"18","author":"A Stepanyants","year":"2008","unstructured":"Stepanyants, A., Hirsch, J. A., Martinez, L. M., Kisvarday, Z. F., Ferecsko, A. S., & Chklovskii, D. B. (2008). Local potential connectivity in cat primary visual cortex. Cerebral Cortex, 18, 13\u201328.","journal-title":"Cerebral Cortex"},{"key":"390_CR76","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1109\/TNSRE.2008.2010471","volume":"17","author":"IH Stevenson","year":"2009","unstructured":"Stevenson, I. H., Rebesco, J. M., Hatsopoulos, N. G., Haga, Z., Miller, L. E., & Kording, K. P. (2009). Bayesian inference of functional connectivity and network structure from spikes. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 17, 203\u2013213.","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"390_CR77","unstructured":"Svoboda, K. (2007). Cajal 2.0 optical mapping project for mouse brain. In Janelia Farm Meeting on Neural Circuit Reconsruction, HHMI, 23\u201326 Sept 2007."},{"key":"390_CR78","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani, R. (1996). Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society. Series B, 58, 267\u2013288.","journal-title":"Journal of the Royal Statistical Society. Series B"},{"key":"390_CR79","first-page":"211","volume":"1","author":"M Tipping","year":"2001","unstructured":"Tipping, M. (2001). Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1, 211\u2013244.","journal-title":"Journal of Machine Learning Research"},{"key":"390_CR80","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-5662-3","volume-title":"Linear programming: Foundations and extensions. International series in operations research and management science","author":"RJ Vanderbei","year":"2001","unstructured":"Vanderbei, R. J. (2001). Linear programming: Foundations and extensions. International series in operations research and management science. New York: Springer."},{"key":"390_CR81","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1002\/cne.901190303","volume":"119","author":"LE Westrum","year":"1962","unstructured":"Westrum, L. E., & Blackstad, T. W. (1962). An electron microscopic study of the stratum radiatum of the rat hippocampus (regio superior, CA 1) with particular emphasis on synaptology. The Journal of Comparative Neurology, 119, 281\u2013309.","journal-title":"The Journal of Comparative Neurology"},{"issue":"1165","key":"390_CR82","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1098\/rstb.1986.0056","volume":"314","author":"J White","year":"1986","unstructured":"White, J., Southgate, E., Thomson, J. N., & Brenner, S. (1986). The structure of the nervous system of the nematode Caenorhabditis elegans. Philosophical Transactions of Royal Society London. Series B, Biological Sciences, 314(1165), 1\u2013340.","journal-title":"Philosophical Transactions of Royal Society London. Series B, Biological Sciences"},{"key":"390_CR83","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1038\/nmeth999","volume":"4","author":"I Wickersham","year":"2007","unstructured":"Wickersham, I., Finke, S., Conzelmann, K.-K., & Callaway, E. (2007). Retrograde neuronal tracing with a deletion-mutant rabies virus. Nature Methods, 4, 47\u201349.","journal-title":"Nature Methods"},{"key":"390_CR84","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.cell.2004.09.012","volume":"119","author":"S Zhang","year":"2004","unstructured":"Zhang, S., Ma, C., & Chalfie, M. (2004). Combinatorial marking of cells and organelles with reconstituted fluorescent proteins. Cell, 119, 137\u2013144.","journal-title":"Cell"},{"key":"390_CR85","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1016\/j.neuron.2009.02.013","volume":"61","author":"M Zimmer","year":"2009","unstructured":"Zimmer, M., Gray, J. M., Pokala, N., Chang, A. J., Karow, D. S., Marletta, M. A., et al. (2009). Neurons detect increases and decreases in oxygen levels using distinct guanylate cyclases. Neuron, 61, 865\u2013879.","journal-title":"Neuron"},{"issue":"5","key":"390_CR86","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.1214\/009053607000000127","volume":"35","author":"H Zou","year":"2007","unstructured":"Zou, H., Hastie, T., & Tibshirani, R. (2007). On the \u201cdegrees of freedom\u201d of the Lasso. The Annals of Statistics, 35(5), 2173\u20132192.","journal-title":"The Annals of Statistics"}],"container-title":["Journal of Computational Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-012-0390-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10827-012-0390-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-012-0390-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,21]],"date-time":"2024-04-21T21:24:05Z","timestamp":1713734645000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10827-012-0390-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,3,22]]},"references-count":86,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,10]]}},"alternative-id":["390"],"URL":"https:\/\/doi.org\/10.1007\/s10827-012-0390-z","relation":{},"ISSN":["0929-5313","1573-6873"],"issn-type":[{"value":"0929-5313","type":"print"},{"value":"1573-6873","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,3,22]]}}}