{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T16:57:21Z","timestamp":1774112241922,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T00:00:00Z","timestamp":1494201600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Comput Neurosci"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s10827-017-0645-9","type":"journal-article","created":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T00:11:06Z","timestamp":1494202266000},"page":"17-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings"],"prefix":"10.1007","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1135-1300","authenticated-orcid":false,"given":"Lorenzo","family":"Posani","sequence":"first","affiliation":[]},{"given":"Simona","family":"Cocco","sequence":"additional","affiliation":[]},{"given":"Karel","family":"Je\u017eek","sequence":"additional","affiliation":[]},{"given":"R\u00e9mi","family":"Monasson","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,8]]},"reference":[{"key":"645_CR1","doi-asserted-by":"crossref","unstructured":"Barton, J. P., & Cocco, S. (2013). Ising models for neural activity inferred via selective cluster expansion Structural and coding properties. Journal of Statistical Mechanic, P03002.","DOI":"10.1088\/1742-5468\/2013\/03\/P03002"},{"key":"645_CR2","doi-asserted-by":"crossref","unstructured":"Barton, J., Leonardis, E. D., Coucke, A., & Cocco, S. (2016). Ace: adaptive cluster expansion for maximum entropy graphical model inference. Bioinformatics.","DOI":"10.1093\/bioinformatics\/btw328"},{"issue":"7","key":"645_CR3","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley, A. P. (1997). The use of the area under the roc curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7), 1145\u20131159.","journal-title":"Pattern Recognition"},{"issue":"9","key":"645_CR4","doi-asserted-by":"crossref","first-page":"090601","DOI":"10.1103\/PhysRevLett.106.090601","volume":"106","author":"S Cocco","year":"2011","unstructured":"Cocco, S., & Monasson, R. (2011). Adaptive cluster expansion for inferring boltzmann machines with noisy data. Physical Review Letters, 106(9), 090601.","journal-title":"Physical Review Letters"},{"issue":"2","key":"645_CR5","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1007\/s10955-012-0463-4","volume":"147","author":"S Cocco","year":"2012","unstructured":"Cocco, S., & Monasson, R. (2012). Adaptive cluster expansion for the inverse ising problem: convergence, algorithm and tests. Journal of Statistical Physics, 147(2), 252\u2013314.","journal-title":"Journal of Statistical Physics"},{"issue":"33","key":"645_CR6","doi-asserted-by":"crossref","first-page":"14058","DOI":"10.1073\/pnas.0906705106","volume":"106","author":"S Cocco","year":"2009","unstructured":"Cocco, S., Leibler, S., & Monasson, R. (2009). Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods. Proceedings of the National Academy of Sciences, 106(33), 14058\u201314062.","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"645_CR7","doi-asserted-by":"crossref","unstructured":"Cocco, S., Monasson, R., Posani, L., & Tavoni, G. (2017). Functional networks from inverse modeling of neural population activity. In Pubblication on Curr Opinion in Systems Biology.","DOI":"10.1016\/j.coisb.2017.04.017"},{"issue":"1","key":"645_CR8","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1152\/jn.00202.2010","volume":"104","author":"LL Colgin","year":"2010","unstructured":"Colgin, L. L., Leutgeb, S., Jezek, K, Leutgeb, J. K., Moser, E. I., McNaughton, B. L., & Moser, M.-B. (2010). Attractor-map versus autoassociation based attractor dynamics in the hippocampal network. Journal of Neurophysiology, 104(1), 35\u201350.","journal-title":"Journal of Neurophysiology"},{"key":"645_CR9","doi-asserted-by":"crossref","first-page":"3182","DOI":"10.1073\/pnas.95.6.3182","volume":"95","author":"AA Fenton","year":"1998","unstructured":"Fenton, A. A., & Muller, R. U. (1998). Place cell discharge is extremely vairiable during individual passes of the rat through the firing field. Proceedings of the National Academy of Science USA, 95, 3182\u20133187.","journal-title":"Proceedings of the National Academy of Science USA"},{"issue":"4","key":"645_CR10","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1016\/j.csda.2009.09.020","volume":"54","author":"D Garcia","year":"2010","unstructured":"Garcia, D. (2010). Robust smoothing of gridded data in one and higher dimensions with missing values. Computational Statistics and Data Analysis, 54(4), 1167\u20131178.","journal-title":"Computational Statistics and Data Analysis"},{"issue":"1","key":"645_CR11","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","volume":"143","author":"JamesA Hanley","year":"1982","unstructured":"Hanley, James A, & McNeil, Barbara J (1982). The meaning and use of the area under a receiver operating characteristic (roc) curve. Radiology, 143(1), 29\u201336.","journal-title":"Radiology"},{"issue":"4","key":"645_CR12","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1103\/PhysRev.106.620","volume":"106","author":"ET Jaynes","year":"1957","unstructured":"Jaynes, E. T. (1957). Information theory and statistical mechanics. Physical Review, 106(4), 620.","journal-title":"Physical Review"},{"issue":"7368","key":"645_CR13","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1038\/nature10439","volume":"478","author":"K Jezek","year":"2011","unstructured":"Jezek, K., Henriksen, E. J., Treves, A., Moser, E. I., & Moser, M.-B. (2011). Theta-paced flickering between place-cell maps in the hippocampus. Nature, 478(7368), 246\u2013249.","journal-title":"Nature"},{"issue":"4","key":"645_CR14","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1101\/lm.224606","volume":"13","author":"JJ Knierim","year":"2006","unstructured":"Knierim, J. J. (2006). Neural representations of location outside the hippocampus. Learning and Memory, 13 (4), 405\u2013415.","journal-title":"Learning and Memory"},{"key":"645_CR15","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s10827-009-0150-x","volume":"29","author":"S Koyama","year":"2010","unstructured":"Koyama, S., & Paninski, L. (2010). Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models. Journal of Comparative Neuroscience, 29, 89.","journal-title":"Journal of Comparative Neuroscience"},{"key":"645_CR16","unstructured":"Lin, S. C., & Gervasoni, D. (2008). Defining global brain states using multielectrode field potential recordings. In: Nicolelis, M. A. L., editor, Methods for Neural Ensemble Recordings. CRC Press\/Taylor and Francis."},{"key":"645_CR17","unstructured":"MacKay, D. J. C. (2003). Information theory, inference and learning algorithms. Cambridge University Press."},{"key":"645_CR18","first-page":"165","volume":"244","author":"VA Makarov","year":"2005","unstructured":"Makarov, V. A., Panetsos, F., & De Feo, O. (2005). A method for determining neural connectivity and inferring the under- lying network dynamics using extracellular spike recordings. Journal of Neuroscience Methods, 244, 165.","journal-title":"Journal of Neuroscience Methods"},{"key":"645_CR19","doi-asserted-by":"crossref","unstructured":"Metz, C. E. (1978). Basic principles of roc analysis, Seminars in Nuclear Medicine, (Vol. 8 pp. 283\u2013298): Elsevier.","DOI":"10.1016\/S0001-2998(78)80014-2"},{"key":"645_CR20","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s10827-010-0306-8","volume":"31","author":"R Monasson","year":"2011","unstructured":"Monasson, R., & Cocco, S. (2011). Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings. Journal of Comparative Neuroscience, 31, 199\u2013227.","journal-title":"Journal of Comparative Neuroscience"},{"key":"645_CR21","doi-asserted-by":"crossref","first-page":"09810","DOI":"10.1103\/PhysRevLett.115.098101","volume":"115","author":"R Monasson","year":"2015","unstructured":"Monasson, R., & Rosay, S. (2015). Transitions between spatial attractors in place-cell models. Physical Review Letters, 115, 09810.","journal-title":"Physical Review Letters"},{"issue":"9","key":"645_CR22","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1162\/0899766054322973","volume":"17","author":"M Okatan","year":"2005","unstructured":"Okatan, M., Wilson, M. A., & Brown, E. N. (2005). Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural Computation, 17(9), 1927\u2013 1961.","journal-title":"Neural Computation"},{"issue":"1","key":"645_CR23","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/0006-8993(71)90358-1","volume":"34","author":"J O\u2019Keefe","year":"1971","unstructured":"O\u2019Keefe, J., & Dostrovsky, J. (1971). The hippocampus as a spatial map. preliminary evidence from unit activity in the freely-moving rat. Brain Research, 34(1), 171\u2013175.","journal-title":"Brain Research"},{"issue":"2","key":"645_CR24","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1002\/sim.2929","volume":"27","author":"MJ Pencina","year":"2008","unstructured":"Pencina, M. J., D\u2019Agostino, R. B., D\u2019Agostino, R. B., & Vasan, R. S. (2008). Evaluating the added predictive ability of a new marker: from area under the roc curve to reclassification and beyond. Statistics in Medicine, 27(2), 157.","journal-title":"Statistics in Medicine"},{"issue":"7207","key":"645_CR25","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1038\/nature07140","volume":"454","author":"JW Pillow","year":"2008","unstructured":"Pillow, J. W., Shlens, J., Paninski, L., Sher, A., Litke, A. M., Chichilnisky, E. J., & Simoncelli, E. P. (2008). Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature, 454(7207), 995\u2013999.","journal-title":"Nature"},{"key":"645_CR26","unstructured":"Posani, L., Cocco, S., Jezek, K., & Monasson, R. (2017). Persistence of positional information in unstable spatial representations in CA3. Submitted to CNS 2017."},{"issue":"7451","key":"645_CR27","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1038\/nature12160","volume":"497","author":"M Rigotti","year":"2013","unstructured":"Rigotti, M., Barak, O., Warden, M. R., Wang, X. -J., Daw, N. D., Miller, E. K., & Fusi, S (2013). The importance of mixed selectivity in complex cognitive tasks. Nature, 497(7451), 585\u2013590.","journal-title":"Nature"},{"issue":"7087","key":"645_CR28","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1038\/nature04701","volume":"440","author":"E Schneidman","year":"2006","unstructured":"Schneidman, E., Berry, M. J., Segev, R., & Bialek, W. (2006). Weak pairwise correlations imply strongly correlated network states in a neural population. Nature, 440(7087), 1007\u20131012.","journal-title":"Nature"},{"issue":"6","key":"645_CR29","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.conb.2008.11.005","volume":"18","author":"IH Stevenson","year":"2008","unstructured":"Stevenson, I. H., Rebesco, J. M., Miller, L. E., & K\u00f6rding, K. P. (2008). Inferring functional connections between neurons. Current Opinion in Neurobiology, 18(6), 582\u2013588.","journal-title":"Current Opinion in Neurobiology"},{"key":"645_CR30","doi-asserted-by":"crossref","unstructured":"Tavoni, G., Ferrari, U., Battaglia, F. P., Cocco, S, & Monasson, R. (2015). Inferred model of the prefrontal cortex activity unveils cell assemblies and memory replay. bioRxiv, page 028316.","DOI":"10.1101\/028316"},{"key":"645_CR31","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s10827-016-0617-5","volume":"41","author":"G Tavoni","year":"2016","unstructured":"Tavoni, G., Cocco, S., & Monasson, R. (2016). Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings. Journal of Computational Neuroscience, 41, 269\u2013293.","journal-title":"Journal of Computational Neuroscience"},{"issue":"32","key":"645_CR32","doi-asserted-by":"crossref","first-page":"14419","DOI":"10.1073\/pnas.1004906107","volume":"107","author":"G Tka\u010dik","year":"2010","unstructured":"Tka\u010dik, G., Prentice, J. S., Balasubramanian, V., & Schneidman, E. (2010). Optimal population coding by noisy spiking neurons. Proceedings of the National Academy of Sciences, 107(32), 14419\u201314424.","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"3","key":"645_CR33","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1002\/hipo.450040319","volume":"4","author":"A Treves","year":"1994","unstructured":"Treves, A., & Rolls, E. T. (1994). Computational analysis of the role of the hippocampus in memory. Hippocampus, 4(3), 374\u2013391.","journal-title":"Hippocampus"},{"key":"645_CR34","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1152\/jn.00697.2004","volume":"93","author":"W Truccolo","year":"2005","unstructured":"Truccolo, W., Eden, U. T., Fellows, M. R., Donoghue, J. P., & Brown, E.P. (2005). A point process framework for relating neural spiking activity to spiking history, neural ensemble,and extrinsic covariate effects. Journal of Neurophysiology, 93, 1071\u201389.","journal-title":"Journal of Neurophysiology"},{"issue":"5723","key":"645_CR35","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1126\/science.1108905","volume":"308","author":"TJ Wills","year":"2005","unstructured":"Wills, T. J., Lever, C., Cacucci, F., Burgess, N., & O\u2019Keefe, J. (2005). Attractor dynamics in the hippocampal representation of the local environment. Science, 308(5723), 873\u2013876.","journal-title":"Science"},{"issue":"2","key":"645_CR36","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1152\/jn.1998.79.2.1017","volume":"79","author":"K Zhang","year":"1998","unstructured":"Zhang, K., Ginzburg, I., McNaughton, B. L., & Sejnowski, T. J. (1998). Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. Journal of Neurophysiology, 79(2), 1017\u20131044.","journal-title":"Journal of Neurophysiology"}],"container-title":["Journal of Computational Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10827-017-0645-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-017-0645-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-017-0645-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T13:59:29Z","timestamp":1569247169000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10827-017-0645-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,8]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["645"],"URL":"https:\/\/doi.org\/10.1007\/s10827-017-0645-9","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/073759","asserted-by":"object"}]},"ISSN":["0929-5313","1573-6873"],"issn-type":[{"value":"0929-5313","type":"print"},{"value":"1573-6873","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,8]]}}}