{"doi":"10.1101/2023.03.22.533807","title":"Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity","abstract":", a framework that encodes neural activity as latent trajectories shaped by spatial and temporal structure. At each timepoint, signals are represented on a graph capturing spatial relationships, with a learnable attention mechanism highlighting important regions. These are embedded using graph wavelets and passed through a manifold-regularized autoencoder that preserves temporal geometry. The resulting latent trajectory is summarized using a principled set of descriptors - including curvature, path signatures, persistent homology, and recurrent networks -that capture multiscale geometric, topological, and dynamical features. These features drive downstream prediction in a modular, interpretable, and end-to-end trainable framework. We evaluate Neurospectrum on simulated and experimental datasets. It tracks phase synchronization in Kuramoto simulations, reconstructs visual stimuli from calcium imaging, and identifies biomarkers of obsessive-compulsive disorder in fMRI. Across tasks, Neurospectrum uncovers meaningful neural dynamics and outperforms traditional analysis methods.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2023,"id":394356,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9326,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1168968,"name":"Yanlei Zhang","orcid":"0000-0003-1139-0756","position":1,"is_corresponding":false},{"id":651245,"name":"Jessica L. Moore","orcid":"0000-0002-7577-7127","position":2,"is_corresponding":false},{"id":628912,"name":"Feng Gao","orcid":"0000-0002-1641-2101","position":3,"is_corresponding":false},{"id":565760,"name":"Bastian Rieck","orcid":"0000-0003-4335-0302","position":4,"is_corresponding":false},{"id":556237,"name":"Guy Wolf","orcid":"0000-0002-6740-059X","position":5,"is_corresponding":false},{"id":1168969,"name":"Firas A. Khasawneh","orcid":"0000-0001-7817-7445","position":6,"is_corresponding":false},{"id":1108210,"name":"Elizabeth Munch","orcid":"0000-0002-9459-9493","position":7,"is_corresponding":false},{"id":292805,"name":"J. Adam Noah","orcid":"0000-0001-9773-2790","position":8,"is_corresponding":false},{"id":525730,"name":"Helen Pushkarskaya","orcid":"0000-0002-9292-1282","position":9,"is_corresponding":false},{"id":284041,"name":"Christopher Pittenger","orcid":"0000-0003-2117-9321","position":10,"is_corresponding":false},{"id":281515,"name":"Valentina Greco","orcid":"0000-0002-6492-4603","position":11,"is_corresponding":false},{"id":254926,"name":"Smita Krishnaswamy","orcid":"0000-0001-5823-1985","position":12,"is_corresponding":false},{"id":813270,"name":"Dhananjay Bhaskar","orcid":"0000-0001-8068-3101","position":0,"is_corresponding":true}],"reference_count":63,"raw_metadata":null,"created_at":"2026-07-19T01:19:14.590635Z","pmid":"40654845","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":[]}