ArticlePLoS computational biology2023
Mixtures of strategies underlie rodent behavior during reversal learning.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.Nature neuroscience · 2026Article
- A standardized and reproducible behavioral framework to elicit multiple aspects of visual spatial attention in mice.Cell reports methods · 2026Article
- Dynamic Hippocampal-Striatal Information Flow Accompanies Behavioral Strategy Transitions During Sequential Learning in Pigeons: A Preliminary Study.Animals : an open access journal from MDPI · 2026Article
- A Mechanistic Understanding of the Different Factors Affecting Adaptation and Flexibility During Probabilistic Reversal Learning: A Neurocomputational Study on Patients with Parkinson's Disease and Control Subjects.Annals of biomedical engineering · 2026Article
- The development of FEDUPP: feeding experimentation device users processing package to assess learning and cognitive flexibility.Translational psychiatry · 2026Article
- Dorsal prefrontal cortex drives perseverative behavior in mice.Nature communications · 2026Article
- Sex differences in exploration-exploitation strategies during home-cage decision making.bioRxiv : the preprint server for biology · 2026Article
- Adaptive integration of model-based and model-free strategies in human reinforcement learning of reachable space.bioRxiv : the preprint server for biology · 2026Article
- Behavioral state-dependent norepinephrine dynamics in the primary somatosensory and prefrontal cortices during tactile detection tasks.bioRxiv : the preprint server for biology · 2026Article
- Sex differences in task engagement and lapse rate during reward learning.Oxford open neuroscience · 2026Article
- A standardized and reproducible behavioral protocol to elicit visual spatial attention in mice.bioRxiv : the preprint server for biology · 2025Article
- Layer-specific cortical dynamics during transitions from error monitoring to decision execution in reversal learning.Communications biology · 2025Article
- Identifying the factors governing internal state switches during nonstationary sensory decision-making.Nature communications · 2025Article
- Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks.Nature communications · 2025Article
- Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making.PLoS computational biology · 2025Article
- Disrupted decision making in adult male rats after prolonged withdrawal from ethanol vapor exposure.Alcohol, clinical & experimental research · 2025Article
- Chemogenetic Modulation of Astrocytic Activity Rescues Hippocampus Associated Neurodegeneration in Alzheimer's Disease Mice Model 5xFAD.Neural plasticity · 2025Article
- Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex.Neuron · 2024Article
- Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts.PLoS computational biology · 2024Article
- IntelliCage: the development and perspectives of a mouse- and user-friendly automated behavioral test system.Frontiers in behavioral neuroscience · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In reversal learning tasks, the behavior of humans and animals is often assumed to be uniform within single experimental sessions to facilitate data analysis and model fitting. However, behavior of agents can display substantial variability in single experimental sessions, as they execute different blocks of trials with different transition dynamics. Here, we observed that in a deterministic reversal learning task, mice display noisy and sub-optimal choice transitions even at the expert stages of learning. We investigated two sources of the sub-optimality in the behavior. First, we found that mice exhibit a high lapse rate during task execution, as they reverted to unrewarded directions after choice transitions. Second, we unexpectedly found that a majority of mice did not execute a uniform strategy, but rather mixed between several behavioral modes with different transition dynamics. We quantified the use of such mixtures with a state-space model, block Hidden Markov Model (block HMM), to dissociate the mixtures of dynamic choice transitions in individual blocks of trials. Additionally, we found that blockHMM transition modes in rodent behavior can be accounted for by two different types of behavioral algorithms, model-free or inference-based learning, that might be used to solve the task. Combining these approaches, we found that mice used a mixture of both exploratory, model-free strategies and deterministic, inference-based behavior in the task, explaining their overall noisy choice sequences. Together, our combined computational approach highlights intrinsic sources of noise in rodent reversal learning behavior and provides a richer description of behavior than conventional techniques, while uncovering the hidden states that underlie the block-by-block transitions.
Indexed as
Identifiers
What OpenQuestion holds
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.