{"doi":"10.1109/msp.2024.3484629","title":"Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]","abstract":null,"journal":"IEEE Signal Processing Magazine","year":2024,"id":628197,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1492007,"name":"Xingyu Li","orcid":"0000-0001-7813-2511","position":1,"is_corresponding":false},{"id":263756,"name":"Zhe Chen","orcid":"0000-0002-6483-6056","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]","abstract":"Rapid advances in generative artificial intelligence (AI) and deep representation learning have revolutionized numerous engineering applications in signal processing, computer vision, speech recognition and translation, and natural language processing due to amazingly powerful representation power (e.g., [1,2]). Generative AI-empowered tools, such as ChatGPT and Sora, have fundamentally changed the landscape of human-computer communications research. One emerging application along this line is to link the brain to the computer (i.e., brain-computer interface or BCI) and to develop paradigm-shift brain-to-content technologies. This BCI system upgrade (i.e., BCI 2.0) is empowered by generative AI and deep learning (\"new engine\") and large amounts of data (\"gas\"). In this article, we will revisit the old song sung in a new tune, highlight some state-of-the-art progresses, and briefly discuss the future outlook.","is_dataset_classified":null,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"40786597","pmcid":"PMC12333864","openalex_id":"https://openalex.org/W4405974230","authors":[],"funders":[{"funder_name":"NIMH NIH HHS","grant_id":"R01 MH118928","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"P50 MH132642","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"R01 MH139352","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS121776","title":null},{"funder_name":"NIDA NIH HHS","grant_id":"RF1 DA056394","title":null}],"total_grants":5,"fwci":0.8152,"citation_percentile":0.72983797,"influential_citations":0,"citation_trend":[{"year":2025,"count":3}],"oa_status":"green","license":"https://doi.org/10.15223/policy-001","oa_locations":[{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12333864/pdf/nihms-2045360.pdf","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12333864/pdf/nihms-2045360.pdf","host_type":"repository"},{"url":"http://xplorestaging.ieee.org/ielx8/79/10819667/10819698.pdf?arnumber=10819698","host_type":"publisher"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12333864/","host_type":"repository"},{"url":"https://doi.org/10.1109/msp.2024.3484629","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/40786597","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12333864","host_type":"repository"}],"fields_of_study":["EEG and Brain-Computer Interfaces","Cell Image Analysis Techniques","Functional Brain Connectivity Studies"],"mesh_terms":[],"keywords":["Computer science","Representation (politics)","Generative grammar","Artificial intelligence","Deep learning","Generative model","Data science","Machine learning","Brain-computer interface","Deep Representation Learning","Generative Ai"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-05T11:46:49.098032Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}