ArticleNature human behaviour2023
Multiplexing working memory and time in the trajectories of neural networks.
Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed.
- Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.Nature neuroscience · 2026Article
- Sex based differences in time processing were found in newly developed tasks.Psychological research · 2026Article
- Hippocampal sequences represent working memory and implicit timing.Cell reports · 2025Article
- Robustness of Working Memory to Prefrontal Cortex Microstimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics.Science advances · 2025Article
- Ex vivo cortical circuits learn to predict and spontaneously replay temporal patterns.Nature communications · 2025Article
- Bridging the gap between aberrant time processing and cognitive dysfunction in schizophrenia: a potential core feature?Schizophrenia (Heidelberg, Germany) · 2025Review
- Robustness of working memory to prefrontal cortex microstimulation.bioRxiv : the preprint server for biology · 2025Article
- Timescales of learning in prefrontal cortex.Nature reviews. Neuroscience · 2024Review
- Hamiltonian energy in a modified Hindmarsh-Rose model.Frontiers in network physiology · 2024Article
- Time for Memories.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Working memory (WM) and timing are generally considered distinct cognitive functions, but similar neural signatures have been implicated in both. To explore the hypothesis that WM and timing may rely on shared neural mechanisms, we used psychophysical tasks that contained either task-irrelevant timing or WM components. In both cases, the task-irrelevant component influenced performance. We then developed recurrent neural network (RNN) simulations that revealed that cue-specific neural sequences, which multiplexed WM and time, emerged as the dominant regime that captured the behavioural findings. During training, RNN dynamics transitioned from low-dimensional ramps to high-dimensional neural sequences, and depending on task requirements, steady-state or ramping activity was also observed. Analysis of RNN structure revealed that neural sequences relied primarily on inhibitory connections, and could survive the deletion of all excitatory-to-excitatory connections. Our results indicate that in some instances WM is encoded in time-varying neural activity because of the importance of predicting when WM will be used.
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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.