# Hierarchical Hidden Markov Models for Response Time Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hierarchical-hidden-markov-models-for-response-time-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deborah Kunkel,Zhifei Yan,Peter F. Craigmile,Mario Peruggia,Trisha Van Zandt |
| Citations | 5 |
| DOI | 10.1007/s42113-020-00076-w |
| Fields | Neuroscience,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3013865450 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Deborah Kunkel](https://scholariq.org/researchers/deborah-kunkel/)

## Paper journal

- [Computational Brain & Behavior](https://scholariq.org/journals/computational-brain-and-behavior/)

## Paper primary topic

- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)

## Paper topics

- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Mental Health Research Topics](https://scholariq.org/topics/mental-health-research-topics/)
- [Neural and Behavioral Psychology Studies](https://scholariq.org/topics/neural-and-behavioral-psychology-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.