ArticleFrontiers in neural circuits2018
High-Throughput Automatic Training System for Odor-Based Learned Behaviors in Head-Fixed Mice.
Article in Frontiers in neural circuits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A Brain-wide Neuronal Spiking and Behavioral Dataset for Working Memory-specific Activation and Reactivation in Mice.Neuroscience bulletin · 2026Article
- Control of associative learning by the mediodorsal thalamus-orbitofrontal cortex circuit.Nature communications · 2026Article
- Hierarchical Replay of Multi-regional Sequential Spiking Associated with Working Memory.Neuroscience bulletin · 2025Article
- Article
- Striatal and hippocampal contributions to instrumental learning in the mouse using high-resolution behavioral monitoring and fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- An Open-Source 3D-Printable Platform for Testing Head-Fixed Cognitive Flexibility in Rodents.eNeuro · 2025Article
- Automating licking bias correction in a two-choice delayed match-to-sample task to accelerate learning.Scientific reports · 2023Article
- Article
- An Open-Source Platform for Head-Fixed Operant and Consummatory Behavior.bioRxiv : the preprint server for biology · 2023Article
- Refinements to rodent head fixation and fluid/food control for neuroscience.Journal of neuroscience methods · 2022Review
- Context coding in the mouse nucleus accumbens modulates motivationally relevant information.PLoS biology · 2022Article
- Efficient training of mice on the 5-choice serial reaction time task in an automated rodent training system.Scientific reports · 2020Article
- Stress and behavioral correlates in the head-fixed method: stress measurements, habituation dynamics, locomotion, and motor-skill learning in mice.Scientific reports · 2020Article
- Article
- High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents.Frontiers in behavioral neuroscience · 2020Article
- Article
- High-Throughput Automatic Training System for Spatial Working Memory in Free-Moving Mice.Neuroscience bulletin · 2019Article
- Elastocapillary self-assembled neurotassels for stable neural activity recordings.Science advances · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding neuronal mechanisms of learned behaviors requires efficient behavioral assays. We designed a high-throughput automatic training system (HATS) for olfactory behaviors in head-fixed mice. The hardware and software were constructed to enable automatic training with minimal human intervention. The integrated system was composed of customized 3D-printing supporting components, an odor-delivery unit with fast response, Arduino based hardware-controlling and data-acquisition unit. Furthermore, the customized software was designed to enable automatic training in all training phases, including lick-teaching, shaping and learning. Using HATS, we trained mice to perform delayed non-match to sample (DNMS), delayed paired association (DPA), Go/No-go (GNG), and GNG reversal tasks. These tasks probed cognitive functions including sensory discrimination, working memory, decision making and cognitive flexibility. Mice reached stable levels of performance within several days in the tasks. HATS enabled an experimenter to train eight mice simultaneously, therefore greatly enhanced the experimental efficiency. Combined with causal perturbation and activity recording techniques, HATS can greatly facilitate our understanding of the neural-circuitry mechanisms underlying learned behaviors.
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