{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:38:16Z","timestamp":1725493096321},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540440741"},{"type":"electronic","value":"9783540460848"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-46084-5_20","type":"book-chapter","created":{"date-parts":[[2007,10,19]],"date-time":"2007-10-19T12:20:51Z","timestamp":1192796451000},"page":"117-122","source":"Crossref","is-referenced-by-count":2,"title":["Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons"],"prefix":"10.1007","author":[{"given":"Nhamo","family":"Mtetwa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leslie S.","family":"Smith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Hussain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,8,21]]},"reference":[{"key":"20_CR1","unstructured":"Virtex 2.5 V Field Programmable Gate Arrays."},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"M. Barbi, S. Chillemi, and A.D. Garbo. The leaky integrate-and-fire neuron: a useful tool to investigate SR. Chaos, solutions and fractals, pages 1273\u20131275, 2000.","DOI":"10.1016\/S0960-0779(99)00121-6"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"R. Benzi, G. Parisi, A. Sutera, and A. Vulpiani. Stochastic resonance in climatic changes. Tellus, 1982.","DOI":"10.3402\/tellusa.v34i1.10782"},{"key":"20_CR4","unstructured":"G. Bestock. FPGAs and Programmable LSI. Butterworth Heinemann, 1996."},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"F. Chapeau-Blondeau, X. Godivier, and N. Chambet. Stochastic resonance in a neuronal model that transmits spike trains. Physical Review E, pages 1273\u20131275, 1996.","DOI":"10.1103\/PhysRevE.53.1273"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"J.J. Collins, C.C. Chow, and T.T. Imhoff. Stochastic resonance without tuning. Nature, 1995.","DOI":"10.1038\/376236a0"},{"key":"20_CR7","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1103\/RevModPhys.70.223","volume":"70","author":"L. Gammaitoni","year":"1998","unstructured":"L. Gammaitoni, P. Hanggi, P. Jung, and P. Marchesoni. Stochastic resonance. Review Modern Physics, 70:223\u2013287, 1998.","journal-title":"Review Modern Physics"},{"key":"20_CR8","volume-title":"Biophysics of Computation","author":"C. Koch","year":"1999","unstructured":"C. Koch. Biophysics of Computation. Oxford University Press, NY, 1999."},{"key":"20_CR9","unstructured":"C. Koch and I. Segev, editors. Methods in Neural modeling: from ions to networks. The MIT Press, 1999."},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"N. Mtetwa, L.S. Smith, and A. Hussain. Stochastic resonance and finite resolutions in a leaky integrate-and-fire neuron. In ESANN2002: Proceedings of the European Symposium on Artificial Neural Network, Bruges, Belgium, pages 343\u2013348, April 24\u201326, 2002.","DOI":"10.1007\/3-540-46084-5_20"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"D. Petracchi, I.C. Gebeshuber, L.J. DeFelice, and A.V. Holden. Stochastic resonance in biological Systems. Chaos, Solutions and Fractals, pages 1819\u20131822, 2000.","DOI":"10.1016\/S0960-0779(99)00117-4"},{"issue":"4","key":"20_CR12","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1088\/0954-898X_7_4_005","volume":"7","author":"M. Stemmler","year":"1996","unstructured":"M. Stemmler. A single spike suffices: the simplest form of stochastic resonance in model neurons. Network: Computation in Neural Systems, 7(4):687\u2013716, November 1996.","journal-title":"Network: Computation in Neural Systems"},{"key":"20_CR13","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/373033a0","volume":"373","author":"K. Weisenfeld","year":"1995","unstructured":"K. Weisenfeld and F. Moss. Stochastic resonance and the benefits of noise: from ice ages to the crayfish and squids. Nature, 373:33\u201336, 1995.","journal-title":"Nature"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"L. Zalanyi, F. Bazso, and P. Erdi. The effect of synaptic depression on stochastic resonance. Neurocomputing, pages 459\u2013465, 2001.","DOI":"10.1016\/S0925-2312(01)00383-6"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2014 ICANN 2002"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-46084-5_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,3]],"date-time":"2019-05-03T21:36:19Z","timestamp":1556919379000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-46084-5_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440741","9783540460848"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/3-540-46084-5_20","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}