{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:24:51Z","timestamp":1781108691418,"version":"3.54.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"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":["Neural Comput &amp; Applic"],"DOI":"10.1007\/s00521-022-08178-1","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T17:45:55Z","timestamp":1672163155000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["NeuroGAN: image reconstruction from EEG signals via an attention-based GAN"],"prefix":"10.1007","author":[{"given":"Rahul","family":"Mishra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishan","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. R.","family":"Jha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnav","family":"Bhavsar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"issue":"2","key":"8178_CR1","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.tins.2010.11.003","volume":"34","author":"AM Green","year":"2011","unstructured":"Green AM, Kalaska JF (2011) Learning to move machines with the mind. Trends Neurosci 34(2):61\u201375","journal-title":"Trends Neurosci"},{"key":"8178_CR2","unstructured":"Guger C, Harkam W, Hertnaes C, Pfurtscheller G (1999) Prosthetic control by an eeg-based brain-computer interface (bci). In: Proc. Aaate 5th European Conference for the Advancement of Assistive Technology, pp. 3\u20136. Citeseer"},{"issue":"1","key":"8178_CR3","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1109\/TBME.2007.897815","volume":"55","author":"GR Muller-Putz","year":"2007","unstructured":"Muller-Putz GR, Pfurtscheller G (2007) Control of an electrical prosthesis with an ssvep-based bci. IEEE Trans Biomed Eng 55(1):361\u2013364","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"8178_CR4","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.neuron.2006.09.019","volume":"52","author":"AB Schwartz","year":"2006","unstructured":"Schwartz AB, Cui XT, Weber DJ, Moran DW (2006) Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52(1):205\u2013220","journal-title":"Neuron"},{"issue":"3","key":"8178_CR5","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.mayocp.2011.12.008","volume":"87","author":"JJ Shih","year":"2012","unstructured":"Shih JJ, Krusienski DJ, Wolpaw JR (2012) Brain-computer interfaces in medicine. Mayo Clin Proc 87(3):268\u201379","journal-title":"Mayo Clin Proc"},{"issue":"1","key":"8178_CR6","doi-asserted-by":"publisher","first-page":"1001251","DOI":"10.1371\/journal.pbio.1001251","volume":"10","author":"BN Pasley","year":"2012","unstructured":"Pasley BN, David SV, Mesgarani N, Flinker A, Shamma SA, Crone NE, Knight RT, Chang EF (2012) Reconstructing speech from human auditory cortex. PLoS Biol 10(1):1001251","journal-title":"PLoS Biol"},{"key":"8178_CR7","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/5557.001.0001","volume-title":"Principles and practice of clinical electrophysiology of vision","author":"JR Heckenlively","year":"2006","unstructured":"Heckenlively JR, Arden GB, Bach M (2006) Principles and practice of clinical electrophysiology of vision. MIT press, Cambridge"},{"key":"8178_CR8","doi-asserted-by":"crossref","unstructured":"Spampinato C, Palazzo S, Kavasidis I, Giordano D, Shah M, Souly N (2016) Deep learning human mind for automated visual classification. CoRR http:\/\/arxiv.org\/abs\/1609.00344","DOI":"10.1109\/CVPR.2017.479"},{"key":"8178_CR9","doi-asserted-by":"crossref","unstructured":"Tirupattur P, Rawat YS, Spampinato C, Shah M (2018) Thoughtviz: visualizing human thoughts using generative adversarial network. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 950\u2013958","DOI":"10.1145\/3240508.3240641"},{"key":"8178_CR10","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.engappai.2018.11.013","volume":"78","author":"A Ben-Cohen","year":"2019","unstructured":"Ben-Cohen A, Klang E, Raskin SP, Soffer S, Ben-Haim S, Konen E, Amitai MM, Greenspan H (2019) Cross-modality synthesis from ct to pet using fcn and gan networks for improved automated lesion detection. Eng Appl Artif Intell 78:186\u2013194","journal-title":"Eng Appl Artif Intell"},{"key":"8178_CR11","volume-title":"Principles of neural science","author":"ER Kandel","year":"2000","unstructured":"Kandel ER, Schwartz JH, Jessell TM (2000) Principles of neural science, vol 4. Mc-Graw hill, New York"},{"key":"8178_CR12","doi-asserted-by":"publisher","first-page":"107085","DOI":"10.1016\/j.patcog.2019.107085","volume":"100","author":"D Li","year":"2020","unstructured":"Li D, Du C, He H (2020) Semi-supervised cross-modal image generation with generative adversarial networks. Pattern Recognit 100:107085","journal-title":"Pattern Recognit"},{"key":"8178_CR13","first-page":"1","volume":"25","author":"S Khare","year":"2022","unstructured":"Khare S, Choubey RN, Amar L, Udutalapalli V (2022) Neurovision: perceived image regeneration using cprogan. Neural Comput Appl 25:1\u201313","journal-title":"Neural Comput Appl"},{"key":"8178_CR14","first-page":"065","volume":"27","author":"I Goodfellow","year":"2014","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. Adv Neural Inf Process Syst 27:065","journal-title":"Adv Neural Inf Process Syst"},{"key":"8178_CR15","unstructured":"Mirza M, Osindero S (2014) Conditional generative adversarial nets. http:\/\/arxiv.org\/abs\/1411.1784"},{"issue":"1","key":"8178_CR16","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s00779-017-1083-4","volume":"22","author":"P Kumar","year":"2018","unstructured":"Kumar P, Saini R, Roy PP, Sahu PK, Dogra DP (2018) Envisioned speech recognition using eeg sensors. Personal and Ubiquitous Comput 22(1):185\u2013199","journal-title":"Personal and Ubiquitous Comput"},{"issue":"1","key":"8178_CR17","doi-asserted-by":"publisher","first-page":"27","DOI":"10.5383\/JUSPN.10.01.004","volume":"10","author":"M Zaki","year":"2018","unstructured":"Zaki M, Alquraini A, Sheltami TR (2018) Home automation using emotiv: controlling tv by brainwaves. J Ubiquitous Syst Pervasive Netw 10(1):27\u201332","journal-title":"J Ubiquitous Syst Pervasive Netw"},{"key":"8178_CR18","unstructured":"Odena A, Olah C, Shlens J (2017) Conditional image synthesis with auxiliary classifier gans. In: International Conference on Machine Learning, pp. 2642\u20132651. PMLR"},{"key":"8178_CR19","doi-asserted-by":"crossref","unstructured":"Gurumurthy S, Kiran\u00a0Sarvadevabhatla R, Venkatesh\u00a0Babu R (2017) Deligan: Generative adversarial networks for diverse and limited data. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 166\u2013174","DOI":"10.1109\/CVPR.2017.525"},{"key":"8178_CR20","doi-asserted-by":"crossref","unstructured":"Hu J, Shen L, Sun G (2018) Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141","DOI":"10.1109\/CVPR.2018.00745"},{"key":"8178_CR21","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: European Conference on Computer Vision, pp. 694\u2013711. Springer","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"8178_CR22","first-page":"2234","volume":"29","author":"T Salimans","year":"2016","unstructured":"Salimans T, Goodfellow I, Zaremba W, Cheung V, Radford A, Chen X (2016) Improved techniques for training gans. Adv Neural Inf Process Syst 29:2234\u20132242","journal-title":"Adv Neural Inf Process Syst"},{"key":"8178_CR23","doi-asserted-by":"crossref","unstructured":"BEN-YOSEF M (2018) Multi-modal generative adversarial networks. PhD thesis, Hebrew University of Jerusalem","DOI":"10.1109\/ICME.2018.8486440"},{"key":"8178_CR24","doi-asserted-by":"crossref","unstructured":"Mishra R, Sharma K, Bhavsar A (2022) Reconstruction of visual stimulus from the eeg recordings via generative adversarial network. In: Medical Imaging 2022: Image Processing, vol. 12032, pp. 512\u2013520. SPIE","DOI":"10.1117\/12.2613297"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08178-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-08178-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08178-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T17:47:03Z","timestamp":1672163223000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-08178-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":24,"alternative-id":["8178"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-08178-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,27]]},"assertion":[{"value":"27 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}