{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T04:09:50Z","timestamp":1743739790169,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819632961","type":"print"},{"value":"9789819632978","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-3297-8_14","type":"book-chapter","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T12:19:27Z","timestamp":1743682767000},"page":"181-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Probing Temporal Filters of\u00a0Vision via\u00a0a\u00a0Falsifiable Model of\u00a0Flicker Fusion"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2867-8641","authenticated-orcid":false,"given":"Keerthi","family":"S Chandran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4431-1404","authenticated-orcid":false,"given":"Kuntal","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"issue":"1","key":"14_CR1","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1080\/00223980.1958.9916274","volume":"46","author":"SH Bartley","year":"1958","unstructured":"Bartley, S.H.: Some factors influencing critical flicker frequency. J. Psychol. 46(1), 107\u2013115 (1958). https:\/\/doi.org\/10.1080\/00223980.1958.9916274","journal-title":"J. Psychol."},{"key":"14_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2023.101158","volume":"82","author":"JS Bowers","year":"2023","unstructured":"Bowers, J.S., et al.: On the importance of severely testing deep learning models of cognition. Cogn. Syst. Res. 82, 101158 (2023). https:\/\/doi.org\/10.1016\/j.cogsys.2023.101158. ISSN: 1389-0417","journal-title":"Cogn. Syst. Res."},{"issue":"3346","key":"14_CR3","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1126\/science.129.3346.390","volume":"129","author":"CR Brown","year":"1959","unstructured":"Brown, C.R., Forsyth, D.M.: Fusion contour for intermittent photic stimuli of alternating duration. Science 129(3346), 390\u2013391 (1959). https:\/\/doi.org\/10.1126\/science.129.3346.390","journal-title":"Science"},{"key":"14_CR4","doi-asserted-by":"publisher","unstructured":"Chandran, K.S., Ghosh, K.: A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus. Brain Inform. 11(1) (2024). https:\/\/doi.org\/10.1186\/s40708-024-00231-0. ISSN: 2198-4026","DOI":"10.1186\/s40708-024-00231-0"},{"key":"14_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.sctalk.2023.100180","volume":"6","author":"KS Chandran","year":"2023","unstructured":"Chandran, K.S., Ghosh, K.: A device for mass generation of psychophysics data to train and test models of flicker fusion. Sci. Talks 6, 100180 (2023). https:\/\/doi.org\/10.1016\/j.sctalk.2023.100180","journal-title":"Sci. Talks"},{"key":"14_CR6","doi-asserted-by":"publisher","unstructured":"Chandran, K.S., et al.: Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision. Behav. Brain Sci. 46 (2023). https:\/\/doi.org\/10.1017\/s0140525x23001759. ISSN: 1469-1825","DOI":"10.1017\/s0140525x23001759"},{"issue":"8","key":"14_CR7","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1364\/JOSA.49.000760","volume":"49","author":"DM Forsyth","year":"1959","unstructured":"Forsyth, D.M., Brown, C.R.: Flicker contours for intermittent photic stimuli of alternating duration. J. Opt. Soc. Am. 49(8), 760\u2013763 (1959). https:\/\/doi.org\/10.1364\/JOSA.49.000760","journal-title":"J. Opt. Soc. Am."},{"key":"14_CR8","doi-asserted-by":"publisher","unstructured":"Golan, T., et al.: Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. Behav. Brain Sci. 46 (2023). https:\/\/doi.org\/10.1017\/s0140525x23001553. ISSN: 1469-1825","DOI":"10.1017\/s0140525x23001553"},{"issue":"1","key":"14_CR9","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1146\/annurev-vision-082114-035447","volume":"1","author":"N Kriegeskorte","year":"2015","unstructured":"Kriegeskorte, N.: Deep neural networks: a new framework for modeling biological vision and brain information processing. Ann. Rev. Vis. Sci. 1(1), 417\u2013446 (2015). https:\/\/doi.org\/10.1146\/annurev-vision-082114-035447. PMID: 28532370","journal-title":"Ann. Rev. Vis. Sci."},{"issue":"2","key":"14_CR10","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1152\/physrev.1954.34.2.259","volume":"34","author":"C Landis","year":"1954","unstructured":"Landis, C.: Determinants of the critical flicker-fusion threshold. Physiol. Rev. 34(2), 259\u2013286 (1954). https:\/\/doi.org\/10.1152\/physrev.1954.34.2.259","journal-title":"Physiol. Rev."},{"key":"14_CR11","unstructured":"Landis, C.: Something about flicker-fusion. Sci. Mon. 73 (1951). https:\/\/www.jstor.org\/stable\/20441"},{"issue":"3\u20134","key":"14_CR12","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1163\/156856801753253591","volume":"14","author":"R Lesperance","year":"2001","unstructured":"Lesperance, R., Young, R.: The Gaussian derivative model for spatial-temporal vision: II. Cortical data. Spat. Vis. 14(3\u20134), 321\u2013389 (2001). https:\/\/doi.org\/10.1163\/156856801753253591. ISSN: 1568-5683","journal-title":"Spat. Vis."},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"4279","DOI":"10.1016\/j.promfg.2015.07.417","volume":"3","author":"M Liu","year":"2015","unstructured":"Liu, M., et al.: The research and analysis of factors affecting critical flicker frequency. Procedia Manuf. 3, 4279\u20134286 (2015). https:\/\/doi.org\/10.1016\/j.promfg.2015.07.417","journal-title":"Procedia Manuf."},{"issue":"12","key":"14_CR14","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1016\/0031-3203(92)90121-x","volume":"25","author":"R Mehrotra","year":"1992","unstructured":"Mehrotra, R., Namuduri, K.R., Ranganathan, N.: Gabor filter-based edge detection. Pattern Recogn. 25(12), 1479\u20131494 (1992). https:\/\/doi.org\/10.1016\/0031-3203(92)90121-x. ISSN: 0031-3203","journal-title":"Pattern Recogn."},{"issue":"23","key":"14_CR15","doi-asserted-by":"publisher","first-page":"3311","DOI":"10.1016\/s0042-6989(97)00169-7","volume":"37","author":"BA Olshausen","year":"1997","unstructured":"Olshausen, B.A., Field, D.J.: Sparse coding with an overcomplete basis set: a strategy employed by V1? Vis. Res. 37(23), 3311\u20133325 (1997). https:\/\/doi.org\/10.1016\/s0042-6989(97)00169-7. ISSN: 0042-6989","journal-title":"Vis. Res."},{"key":"14_CR16","series-title":"Routledge Classics (Hardcover)","volume-title":"The Logic of Scientific Discovery","author":"K Popper","year":"2002","unstructured":"Popper, K.: The Logic of Scientific Discovery. Routledge Classics (Hardcover), Routledge, London (2002)"},{"key":"14_CR17","unstructured":"Shea, B.: Karl popper (2011)"},{"issue":"7","key":"14_CR18","doi-asserted-by":"publisher","first-page":"422","DOI":"10.3390\/biomimetics9070422","volume":"9","author":"Y Tian","year":"2024","unstructured":"Tian, Y., et al.: Biological basis and computer vision applications of image phase congruency: a comprehensive survey. Biomimetics 9(7), 422 (2024). https:\/\/doi.org\/10.3390\/biomimetics9070422. ISSN: 2313-7673","journal-title":"Biomimetics"},{"issue":"3\u20134","key":"14_CR19","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1163\/156856801753253582","volume":"14","author":"R Young","year":"2001","unstructured":"Young, R., Lesperance, R., Meyer, W.W.: The Gaussian derivative model for spatial-temporal vision: I. Cortical model. Spat. Vis. 14(3\u20134), 261\u2013319 (2001). https:\/\/doi.org\/10.1163\/156856801753253582. ISSN: 1568-5683","journal-title":"Spat. Vis."},{"key":"14_CR20","doi-asserted-by":"publisher","unstructured":"Young, R.A.: Gaussian derivative model for machine vision. In: Annual Meeting Optical Society of America. OAM. Optica Publishing Group (1985). https:\/\/doi.org\/10.1364\/oam.1985.wj40","DOI":"10.1364\/oam.1985.wj40"},{"key":"14_CR21","doi-asserted-by":"publisher","unstructured":"Zuo, Z., et al.: Convolutional recurrent neural networks: learning spatial dependencies for image representation. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 18\u201326 (2015). https:\/\/doi.org\/10.1109\/CVPRW.2015.7301268","DOI":"10.1109\/CVPRW.2015.7301268"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-3297-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T12:19:31Z","timestamp":1743682771000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-3297-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819632961","9789819632978"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-3297-8_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wi-consortium.org\/conferences\/bi2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}