ArticleeLife2021
Temporally delayed linear modelling (TDLM) measures replay in both animals and humans.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed.
- An abstract relational map emerges in the human medial prefrontal cortex with consolidation.Current biology : CB · 2026Article
- Human hippocampal ripples coordinate planning sequences and compositional representations in neocortex.Nature neuroscience · 2026Article
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- Article
- Building hierarchically nested structure by rapid neural sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Reasoning with programs in replay.bioRxiv : the preprint server for biology · 2025Article
- Trait anxiety is associated with reduced reward-related replay at rest.Nature communications · 2025Article
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- Replay-triggered brain-wide activation in humans.Nature communications · 2024Article
- Article
- Reactivation strength during cued recall is modulated by graph distance within cognitive maps.eLife · 2024Article
- Heuristics in risky decision-making relate to preferential representation of information.Nature communications · 2024Article
- Generative replay underlies compositional inference in the hippocampal-prefrontal circuit.Cell · 2023Article
- Trajectories through semantic spaces in schizophrenia and the relationship to ripple bursts.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Enhancing precision in human neuroscience.eLife · 2023Review
- How our understanding of memory replay evolves.Journal of neurophysiology · 2023Review
- Distinct replay signatures for prospective decision-making and memory preservation.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Reduced coupling between offline neural replay events and default mode network activation in schizophrenia.Brain communications · 2023Article
- The shallow cognitive map hypothesis: A hippocampal framework for thought disorder in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2022Review
- Decoding cognition from spontaneous neural activity.Nature reviews. Neuroscience · 2022Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
There are rich structures in off-task neural activity which are hypothesized to reflect fundamental computations across a broad spectrum of cognitive functions. Here, we develop an analysis toolkit - temporal delayed linear modelling (TDLM) - for analysing such activity. TDLM is a domain-general method for finding neural sequences that respect a pre-specified transition graph. It combines nonlinear classification and linear temporal modelling to test for statistical regularities in sequences of task-related reactivations. TDLM is developed on the non-invasive neuroimaging data and is designed to take care of confounds and maximize sequence detection ability. Notably, as a linear framework, TDLM can be easily extended, without loss of generality, to capture rodent replay in electrophysiology, including in continuous spaces, as well as addressing second-order inference questions, for example, its temporal and spatial varying pattern. We hope TDLM will advance a deeper understanding of neural computation and promote a richer convergence between animal and human neuroscience.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.