{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:05:04Z","timestamp":1740096304459,"version":"3.37.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319041285"},{"type":"electronic","value":"9783319041292"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-04129-2_13","type":"book-chapter","created":{"date-parts":[[2013,12,19]],"date-time":"2013-12-19T09:27:34Z","timestamp":1387445254000},"page":"125-131","source":"Crossref","is-referenced-by-count":0,"title":["Effects of Pruning on Phase-Coding and Storage Capacity of a Spiking Network"],"prefix":"10.1007","author":[{"given":"Silvia","family":"Scarpetta","sequence":"first","affiliation":[]},{"given":"Antonio","family":"De Candia","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"21341","DOI":"10.1073\/pnas.0908193106","volume":"106","author":"M. Siegel","year":"2009","unstructured":"Siegel, M., Warden, M.R., Miller, E.K.: Phase-dependent neuronal coding of objects in short-term memory. PNAS\u00a0106, 21341\u201321346 (2009)","journal-title":"PNAS"},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"1926","DOI":"10.1126\/science.1099745","volume":"304","author":"G. Buzsaki","year":"2004","unstructured":"Buzsaki, G., Draguhn, A.: Neuronal Oscillations in Cortical Networks. Science\u00a0304, 1926\u20131929 (2004)","journal-title":"Science"},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.neuron.2009.01.008","volume":"61","author":"C. Kayser","year":"2009","unstructured":"Kayser, C., Montemurro, M.A., Logothetis, N.K., Panzeri, S.: Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. Neuron.\u00a061, 597\u2013608 (2009)","journal-title":"Neuron."},{"issue":"5-6","key":"13_CR4","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/BF00199450","volume":"69","author":"W. Gerstner","year":"1993","unstructured":"Gerstner, W., Ritz, R., van Hemmen, J.L.: Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biological Cybernetics\u00a069(5-6), 503\u2013515 (1993)","journal-title":"Biological Cybernetics"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1126\/science.275.5297.213","volume":"275","author":"H. Markram","year":"1997","unstructured":"Markram, H., Lubke, J., Frotscher, M., Sakmann, B.: Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science\u00a0275, 213\u2013215 (1997)","journal-title":"Science"},{"key":"13_CR6","doi-asserted-by":"crossref","first-page":"10464","DOI":"10.1523\/JNEUROSCI.18-24-10464.1998","volume":"18","author":"G.Q. Bi","year":"1998","unstructured":"Bi, G.Q., Poo, M.M.: Precise spike timing determines the direction and extent of synaptic modifications in cultured hippocampal neurons. J. Neurosci.\u00a018, 10464\u201310472 (1998)","journal-title":"J. Neurosci."},{"issue":"10","key":"13_CR7","doi-asserted-by":"publisher","first-page":"2371","DOI":"10.1162\/08997660260293265","volume":"14","author":"S. Scarpetta","year":"2002","unstructured":"Scarpetta, S., Zhaoping, L., Hertz, J.: Hebbian Imprinting and Retrieval in Oscillatory Neural Networks. Neural Computation\u00a014(10), 2371\u20132396 (2002)","journal-title":"Neural Computation"},{"issue":"7","key":"13_CR8","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1002\/hipo.20124","volume":"15","author":"S. Scarpetta","year":"2005","unstructured":"Scarpetta, S., Marinaro, M.: A learning rule for place fields in a cortical model: Theta phase precession as a network effect. Hippocampus\u00a015(7), 979\u2013989 (2005)","journal-title":"Hippocampus"},{"issue":"19","key":"13_CR9","doi-asserted-by":"publisher","first-page":"198106","DOI":"10.1103\/PhysRevLett.92.198106","volume":"92","author":"L. Zhaoping","year":"2004","unstructured":"Zhaoping, L., Lewis, A., Scarpetta, S.: Mathematical analysis and simulations of the neural circuit for locomotion in lampreys. Physical Review Letters\u00a092(19), 198106 (2004)","journal-title":"Physical Review Letters"},{"key":"13_CR10","doi-asserted-by":"crossref","first-page":"051917","DOI":"10.1103\/PhysRevE.75.051917","volume":"75","author":"M. Yoshioka","year":"2007","unstructured":"Yoshioka, M., Scarpetta, S., Marinaro, M.: Spatiotemporal learning in analog neural networks using spike-timing-dependent synaptic plasticity. Phys. Rev. E\u00a075, 051917 (2007)","journal-title":"Phys. Rev. E"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Scarpetta, S., De Candia, A., Giacco, F.: Storage of phase-coded patterns via STDP in fully-connected and sparse network: a study of the network capacity. Frontiers in Synaptic Neuroscience 2 (2010)","DOI":"10.3389\/fnsyn.2010.00032"},{"issue":"2","key":"13_CR12","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1016\/j.mbs.2006.10.001","volume":"207","author":"M. Marinaro","year":"2007","unstructured":"Marinaro, M., Scarpetta, S., Yoshioka, M.: Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule. Mathematical Biosciences\u00a0207(2), 322\u2013335 (2007)","journal-title":"Mathematical Biosciences"},{"issue":"2","key":"13_CR13","doi-asserted-by":"publisher","first-page":"28006","DOI":"10.1209\/0295-5075\/95\/28006","volume":"95","author":"S. Scarpetta","year":"2011","unstructured":"Scarpetta, S., Giacco, F., de Candia, A.: Storage capacity of phase-coded patterns in sparse neural networks. EPL (Europhysics Letters)\u00a095(2), 28006 (2011)","journal-title":"EPL (Europhysics Letters)"},{"key":"13_CR14","unstructured":"Scarpetta, S., De Candia, A., Giacco, F.: Dynamics and storage capacity of neural networks with small-world topology. In: Proceedings of the 2011 Conference on Neural Nets WIRN10. Frontiers in Artificial Intelligence and Applications, vol.\u00a0226 (2011) ISBN: 978-1-60750-691-1"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/978-3-540-74690-4_77","volume-title":"Artificial Neural Networks \u2013 ICANN 2007","author":"M. Yoshioka","year":"2007","unstructured":"Yoshioka, M., Scarpetta, S., Marinaro, M.: Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks. In: de S\u00e1, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007, Part I. LNCS, vol.\u00a04668, pp. 757\u2013766. Springer, Heidelberg (2007)"},{"issue":"2","key":"13_CR16","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s10827-012-0423-7","volume":"34","author":"S. Scarpetta","year":"2013","unstructured":"Scarpetta, S., Giacco, F.: Associative memory of phase-coded spatiotemporal patterns in leaky Integrate and Fire networks. Journal of Computational Neuroscience. J Comput Neurosci.\u00a034(2), 319\u2013336 (2013), doi:10.1007\/s10827-012-0423-7; Epub (October 4, 2012)","journal-title":"Journal of Computational Neuroscience. J Comput Neurosci."},{"key":"13_CR17","unstructured":"Giacco, F., Scarpetta, S.: Attractor networks and memory replay of phase coded spike patterns. In: Frontiers in Artificial Intelligence and Applications, vol.\u00a0234, pp. 265\u2013274 (2011)"},{"issue":"3","key":"13_CR18","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.biosystems.2013.03.017","volume":"112","author":"S. Scarpetta","year":"2013","unstructured":"Scarpetta, S., Giacco, F., Lombardi, F., de Candia, A.: Effects of Poisson noise in a IF model with STDP and spontaneous replay of periodic spatiotemporal patterns, in absence of cue stimulation. Biosystems\u00a0112(3), 303\u20132647 (2013), doi:10.1016\/j.biosystems.2013.03.017, ISSN 0303-2647","journal-title":"Biosystems"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Scarpetta, S., de Candia, A.: Critical behavior near a phase transition between retrieval and non-retrieval regimes in a LIF network with spatiotemporal patterns. AIP Conf. Proc, vol.\u00a01510, pp. 36\u201343 (2013), doi:http:\/\/dx.doi.org\/10.1063\/1.4776499","DOI":"10.1063\/1.4776499"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Scarpetta, S., de Candia, A.: Neural avalanches at the critical point between replay and non-replay of spatiotemporal patterns. Plos One (accepted May 11) (in press, 2013), doi:10.1371\/journal.pone.0064162, PONE-D-13-11021R1","DOI":"10.1371\/journal.pone.0064162"},{"key":"13_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1007\/978-3-540-88853-6_4","volume-title":"Dynamic Brain - from Neural Spikes to Behaviors","author":"S. Scarpetta","year":"2008","unstructured":"Scarpetta, S., Yoshioka, M., Marinaro, M.: Encoding and Replay of Dynamic Attractors with Multiple Frequencies: Analysis of a STDP Based Learning Rule. In: Marinaro, M., Scarpetta, S., Yamaguchi, Y. (eds.) Dynamic Brain. LNCS, vol.\u00a05286, pp. 38\u201360. Springer, Heidelberg (2008)"},{"key":"13_CR22","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1038\/383076a0","volume":"383","author":"W. Gerstner","year":"1996","unstructured":"Gerstner, W., Kempter, R., van Hemmen, L., Wagner, H.: A neuronal learning rule for sub-millisecond temporal coding. Nature\u00a0383, 76\u201378 (1996)","journal-title":"Nature"},{"issue":"15","key":"13_CR23","doi-asserted-by":"publisher","first-page":"10132","DOI":"10.1073\/pnas.132651299","volume":"99","author":"H. Abarbanel","year":"2002","unstructured":"Abarbanel, H., Huerta, R., Rabinovich, M.I.: Dynamical model of long-term synaptic plasticity. Proc. Nas. Acad. Sci.\u00a099(15), 10132\u201310137 (2002)","journal-title":"Proc. Nas. Acad. Sci."},{"issue":"4","key":"13_CR24","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1162\/neco.2006.18.4.904","volume":"18","author":"C. Leibold","year":"2007","unstructured":"Leibold, C., Kempter, R.: Memory Capacity for Sequences in a Recurrent Network with Biological Constraints. Neural Computation\u00a018(4), 904\u2013941 (2007)","journal-title":"Neural Computation"},{"issue":"1","key":"13_CR25","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s10827-012-0410-z","volume":"34","author":"A.A. Kammerer","year":"2013","unstructured":"Kammerer, A.A., Tejero-Cantero, A.A., Leibold Inhibition, C.C.: enhances memory capacity: optimal feedback, transient replay and oscillations. J. Comput. Neurosci.\u00a034(1), 125\u2013136 (2013)","journal-title":"J. Comput. Neurosci."},{"key":"13_CR26","first-page":"833","volume":"19","author":"M. Lengyel","year":"2007","unstructured":"Lengyel, M., Dayan, P.: Uncertainty, phase, and oscillatory hippocampal recall. Advances in Neural Information Processing Systems\u00a019, 833\u2013840 (2007)","journal-title":"Advances in Neural Information Processing Systems"},{"key":"13_CR27","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1038\/nn1561","volume":"8","author":"M. Lengyel","year":"2005","unstructured":"Lengyel, M., Kwag, J., Paulsen, O., Dayan, P.: Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves. Nat. Neurosci.\u00a08, 1677\u20131683 (2005)","journal-title":"Nat. Neurosci."},{"issue":"5","key":"13_CR28","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1162\/neco.2008.07-06-292","volume":"20","author":"K. Thurley","year":"2008","unstructured":"Thurley, K., Leibold, C., Gundlfinger, A., Schmitz, D., Kempter, R.: Phase precession through synaptic facilitation. Neural Computation\u00a020(5), 1285\u20131324 (2008)","journal-title":"Neural Computation"},{"issue":"8","key":"13_CR29","doi-asserted-by":"crossref","first-page":"R349","DOI":"10.1016\/j.cub.2008.02.062","volume":"18","author":"P.E. Latham","year":"2008","unstructured":"Latham, P.E., Lengyel, M.: Phase Coding: Spikes Get a Boost from Local Fields. Curr. Biology\u00a018(8), R349\u2013R351 (2008)","journal-title":"Curr. Biology"}],"container-title":["Smart Innovation, Systems and Technologies","Recent Advances of Neural Network Models and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-04129-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,25]],"date-time":"2019-05-25T13:33:14Z","timestamp":1558791194000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-04129-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319041285","9783319041292"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-04129-2_13","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2014]]}}}