A neural mechanism for terminating decisions

Stine, Gabriel M; Trautmann, Eric M.; Jeurissen, Danique; Shadlen, Michael N.

doi:10.1016/j.neuron.2023.05.028

Cited by 29 publications

(24 citation statements)

References 71 publications

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“…Here we show that the precise time of decision commitment on individual trials can be inferred without training an animal to couple their decision commitment and movement initiation. The peri-commitment neural responses observed here contrasts sharply with the ramp-and-burst neural responses observed in animals trained to couple their decision commitment with response initiation 51 . The distinction between perceptual decision and movement preparation, and their interaction 54,55 , can be addressed in future studies using decision dynamics inferred from neural activity and the animal's pose estimated from videos.…”

Section: Discussioncontrasting

confidence: 94%

“…How do decisions end? In many studies, an animal learns over many months to couple the termination of their deliberation with the initiation of a motor response, so that the moment when the animal initiates its response is used to operationally define the time when it commits to a choice 50,51 . Yet, committing to a choice and initiating a response are distinct processes 52 , and it has been pointed out that the many-month training conflates neural activity underlying decision commitment and response preparation 53 .…”

Section: Discussionmentioning

confidence: 99%

“…In many studies, an animal is trained extensively to couple the termination of their deliberation with the initiation of a motor response. The motivation is to use the moment the animal initiates its response to operationally define when it commits to a choice 62,63 . Under this definition, neural activity before the movement is interpreted to correspond to deliberation per sé, with minimal contamination of post-commitment signals.…”

Section: Discussionmentioning

confidence: 99%

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Transitions in dynamical regime and neural mode underlie perceptual decision-making

Luo,

Kim,

Gupta

et al. 2023

Preprint

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Perceptual decision-making is the process by which an animal uses sensory stimuli to choose an action or mental proposition. This process is thought to be mediated by neurons organized as attractor networks. However, whether attractor dynamics underlie decision behavior and the complex neuronal responses remains unclear. Here we use an unsupervised, deep learning-based method to discover decision-related dynamics from the simultaneous activity of neurons in frontal cortex and striatum of rats while they accumulate pulsatile auditory evidence. We show that contrary to prevailing hypotheses, perceptual choices emerge from the dynamics driven by sensory inputs that are not aligned to discrete attractors in the input-independent dynamics. Input-driven and -independent dynamics differ in strength across the decision state space, resulting in the input-driven dynamics playing a dominant role in evidence integration, while input-independent dynamics playing a principal role in decision commitment. An extension of the classic drift-diffusion hypothesis to approximate the non-canonical attractor dynamics precisely predicts the internal decision commitment time and captures diverse and complex single-neuron temporal profiles, such as ramping and stepping. It also captures choice behavior and trial-averaged curved trajectories and reveals distinctions between brain regions. Thus, non-canonical attractor dynamics inferred from unsupervised discovery conceptually extend a classic hypothesis and parsimoniously account for multiple neural and behavioral phenomena.

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Section: Discussioncontrasting

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Transitions in dynamical regime and neural mode underlie perceptual decision-making

Luo,

Kim,

Gupta

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…To elaborate, in this board game, the conversion factor card chosen will affect the type of reactant token collected and thus the kind of product made. Prior to choosing a conversion factor card, players thus need to sufficiently gather and scrutinize the relevant information, such as the type and amount of a reactant and of a product to be madeessentially a cognitive process. , Through such repeated planning, decision-making, and learning processes, they will eventually come to grips with the relationships between the two factors . Choosing has to be meticulously balanced with the element of luck since games relying solely on luck are less likely to be challenging, while those demanding pure skill are too intimidating to be enjoyable .…”

Section: Research Methodologymentioning

confidence: 99%

Learning Mole Calculation through a Board Game in an Engaging and Enjoyable Environment: Design, Implementation, and Evaluation

Saithongdee,

Sirirat

2024

J. Chem. Educ.

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Board games have been used as instructional tools for a wide array of subjects from primary to secondary levels. The present study aimed to develop and apply a novel board game for the instruction of content relating to mole conversion through dimensional analysis in a grade 10 class of 29 students. To assess their knowledge prior to and after implementation of the board game, a test comprising 10 items totaling 30 points was administered. A survey questionnaire was then used to evaluate their attitudes toward the board game. It was found that the students' post-test score (23.90 ± 5.70) was significantly higher than their pre-test score (3.79 ± 3.22) using the paired-samples t test with the class normalized gain standing at a high level (⟨g⟩ = 0.77). In addition, the students viewed the board game positively, assigning high ratings to most of the statements constituting the questionnaire, especially enjoyment (4.60 ± 0.55) and engagement (4.31 ± 0.74). These findings suggest that the application of a board game for instructional purposes is likely to promote an active, engaging, and enjoyable learning experience. Also, it will effectively equip students with mole calculation skills as well as an understanding of the relationships between mole, mass, volume, and number of particles. It is hoped that the board game presented in this research can serve as a model from which to design a similar tool for the instruction of chemistry topics.

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“…To bridge this gap, we conceptualized the temperature preference assay as a continuous decision-making process (Figure 5A and Figure 5B), allowing the use of established evidence accumulation frameworks. These models have been shown to successfully recapitulate animal and human behaviour in sensory decision tasks involving different modalities (38)(39)(40) and have even been directly linked to neural observations (41,42). In our experimental setup, an animal enters a chamber and begins to accumulate evidence (i.e., it continuously collects and computes spatial temperature information) that drives its decision to stay or leave the chamber (Figure 5A).…”

Section: Wsns Vary In Their Response Characteristicsmentioning

confidence: 98%

Diverging roles of TRPV1 and TRPM2 in warm-temperature detection

Abd El Hay,

Kamm,

Tlaie

et al. 2023

Preprint

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The accurate perception of innocuous temperatures, particularly those experienced as pleasantly warm, is essential for achieving thermal comfort and maintaining thermoregulatory balance. Warm-sensitive neurons (WSN) innervating the skin play a central role in non-painful warmth detection. The TRP ion channels TRPV1 and TRPM2 have been suggested as sensors of warm temperature in WSNs. However, the precise contribution of these channels to the process of warmth detection is not fully understood.A significant challenge in analysing WSNs lies in their scarcity: fewer than 10 % of sensory neurons in the rodent dorsal root ganglion (DRG) respond to innocuous warm temperatures. In this study, we examined >20,000 cultured mouse DRG neurons using calcium imaging and discovered distinct contributions of TRPV1 and TRPM2 to warm-temperature sensitivity. TRPV1 and TRPM2 affect the abundance of WSNs, with TRPV1 mediating the rapid, dynamic response to warmth.By carefully tracking animal movement in a whole-body thermal preference paradigm, we observe that these cellular differences correlate with nuanced thermal behaviours. Utilizing a driftdiffusion model to quantitatively analyse the decision-making process of animals exposed to different environmental temperatures, we found that: TRPV1 primarily impairs the precision of evidence accumulation, whereas TRPM2 significantly increases the total duration of exposure to uncomfortably warm environments.Our findings provide valuable insights into the distinct molecular responses to warmth stimuli, and underpin the subtle aspects of thermal decision-making when encountering minor temperature variations.

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A neural mechanism for terminating decisions

Cited by 29 publications

References 71 publications

Transitions in dynamical regime and neural mode underlie perceptual decision-making

Transitions in dynamical regime and neural mode underlie perceptual decision-making

Learning Mole Calculation through a Board Game in an Engaging and Enjoyable Environment: Design, Implementation, and Evaluation

Diverging roles of TRPV1 and TRPM2 in warm-temperature detection

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