{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:38:06Z","timestamp":1730299086551,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003069","name":"Instituto Polit\u00e9cnico Nacional","doi-asserted-by":"publisher","award":["SIP 20230140"],"award-info":[{"award-number":["SIP 20230140"]}],"id":[{"id":"10.13039\/501100003069","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1109\/ssci52147.2023.10372058","type":"proceedings-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T14:30:22Z","timestamp":1704119422000},"page":"1455-1460","source":"Crossref","is-referenced-by-count":2,"title":["Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning"],"prefix":"10.1109","author":[{"given":"Fernando","family":"Aguilar-Canto","sequence":"first","affiliation":[{"name":"Instituto Politécnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiram","family":"Calvo","sequence":"additional","affiliation":[{"name":"Instituto Politécnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref2","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69538-5_10"},{"key":"ref4","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Tinybert: Distilling bert for natural language understanding","author":"Jiao","year":"2019","journal-title":"arXiv preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/538020a"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105111"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/ail2.56"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10506-020-09270-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3100641"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11491"},{"key":"ref13","article-title":"Explanations based on the missing: Towards contrastive explanations with pertinent negatives","volume":"31","author":"Dhurandhar","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref15","article-title":"Sanity checks for saliency maps","volume":"31","author":"Adebayo","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"2668","article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)","volume-title":"International conference on machine learning","author":"Kim"},{"key":"ref17","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","volume-title":"International conference on machine learning","author":"Koh"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11771"},{"key":"ref19","article-title":"A benchmark for interpretability methods in deep neural networks","volume":"32","author":"Hooker","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1959.sp006308"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1968.sp008455"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2019.01.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2014.00135"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.04-08-02051.1984"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/nature03687"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2011.568608"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2007.12.003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2020.06.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60884-2_3"},{"issue":"3","key":"ref32","first-page":"1","article-title":"Visualizing higher-layer features of a deep network","volume":"1341","author":"Erhan","year":"2009","journal-title":"University of Montreal"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.09.007"},{"key":"ref34","article-title":"Object detectors emerge in deep scene cnns","author":"Zhou","year":"2014","journal-title":"arXiv preprint"},{"key":"ref35","article-title":"Under-standing neural networks through deep visualization","author":"Yosinski","year":"2015","journal-title":"arXiv preprint"},{"key":"ref36","article-title":"Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks","author":"Nguyen","year":"2016","journal-title":"arXiv preprint"},{"key":"ref37","article-title":"Dont trust your eyes: on the (un) reliability of feature visualizations","author":"Geirhos","year":"2023","journal-title":"arXiv preprint"},{"key":"ref38","article-title":"On the importance of single directions for generalization","author":"Morcos","year":"2018","journal-title":"arXiv preprint"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00910"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1315245.1315291"},{"key":"ref42","article-title":"Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation","author":"Powers","year":"2020","journal-title":"arXiv preprint"}],"event":{"name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2023,12,5]]},"location":"Mexico City, Mexico","end":{"date-parts":[[2023,12,8]]}},"container-title":["2023 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10371778\/10371788\/10372058.pdf?arnumber=10372058","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T18:52:11Z","timestamp":1705085531000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10372058\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ssci52147.2023.10372058","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]}}}