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Extended LATER model can account for trial-by-trial variability of both pre- and post-processes
Abstract
We present a new decision-making model that can account for trial-by-trial variability induced by a process ("pre-process") that occurs before an explicit sensory signal specifying a later motor response. A process after explicit sensory signals, referred to herein as the "post-process", has been investigated by a variety of so-called rise-to-threshold models including the LATER model. The LATER model formulates post-process variability but treats the pre-process as fixed within a block of an experiment. We propose an extension of the LATER model, which we call the extended LATER (ELATER) model, to account for trial-by-trial variability of both pre- and post-processes together. We present the mathematical formulation of the ELATER model and analyze its characteristics, including numerical examples and an example of saccade latency data in reward-manipulated conditions with caudate activity. The ELATER model is useful for investigating decision making by taking account of trial-by-trial variability of both pre- and post-processes.
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There is evidence for a trial-to-trial correlation between the response latency and the preparatory activity of cortical movement neurons, before the target onset, in saccade and other sensory-motor tasks.
“There is also evidence for a trial-to-trial correlation between the response latency and the preparatory activity of cortical movement neurons, before the target onset, in saccade and other sensory-motor tasks (Dorris et al., 1997; Churchland et al., 2006; Nakahara et al., 2006).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Nakahara et al., 2006
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“There is also evidence for a trial-to-trial correlation between the response latency and the preparatory activity of cortical movement neurons, before the target onset, in saccade and other sensorymotor tasks (Dorris et al., 1997; Churchland et al., 2006; Nakahara et al., 2006).”
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Metadata
- Authors
- Nakahara, H., Nakamura, K., & Hikosaka, O.
- Affiliations
- RIKEN Center for Brain Science (JP)
- National Institutes of Health (US)
- Corresponding author
- Nakahara, Hiroyuki
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 19
- Issue
- 8
- Pages
- 1027-1046
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W1972719908
- Cited by
- 45
- References
- 115
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2022: 1 · 2021: 2 · 2019: 4 · 2018: 2 · 2017: 2 · 2016: 4 · 2015: 2 · 2014: 2 · 2013: 1 · 2012: 6
- FWCI
- 0.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neural Networks (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- decision models, trial-to-trial variability, saccade latency
- MeSH terms
- Animals, Decision Making, Discrimination, Psychological, Humans, Models, Psychological, Neurons, Probability, Reaction Time, Reward, Saccades, Sensory Thresholds, Reproducibility of Results
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