{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:23:11Z","timestamp":1730265791007,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852038","type":"proceedings-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T23:44:32Z","timestamp":1569887072000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Predicting Performance using Approximate State Space Model for Liquid State Machines"],"prefix":"10.1109","author":[{"given":"A.","family":"Gorad","sequence":"first","affiliation":[]},{"given":"V.","family":"Saraswat","sequence":"additional","affiliation":[]},{"given":"U.","family":"Ganguly","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1425","article-title":"On computational power and the order-chaos phase transition in reservoir computing","author":"schrauwen","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.045"},{"key":"ref12","first-page":"127","article-title":"What makes a dynamical system computationally powerful","author":"legenstein","year":"2007","journal-title":"New Directions in Statistical Signal Processing From Systems to Brain"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0101792"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2006.1716628"},{"key":"ref15","first-page":"865","article-title":"Methods for estimating the computational power and generalization capability of neural microcircuits","author":"maass","year":"2005","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.08.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BioCAS.2015.7348397"},{"journal-title":"Control Systems Engineering","year":"2007","author":"nise","key":"ref18"},{"key":"ref19","article-title":"Auditory toolbox","volume":"10","author":"slaney","year":"1998","journal-title":"Interval Research Corporation"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-006-0007-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipl.2005.05.019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500367"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966283"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1982.1171644"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.015"},{"key":"ref2","first-page":"575","article-title":"Computational models for generic cortical microcircuits","volume":"18","author":"maass","year":"2004","journal-title":"Computational Neuroscience A Comprehensive Approach"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2388544"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2003.1224019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2004.4620175"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2074212"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2558"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.088"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2018.8581122"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.11.003"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852038.pdf?arnumber=8852038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:47:00Z","timestamp":1658080020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852038","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}