Relevant bibliographies by topics / Sensorimotor decisions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Sensorimotor decisions'

Author: Grafiati
Published: 13 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Sensorimotor decisions"

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Siegel, Markus. "Neural dynamics of sensorimotor decisions." International Journal of Psychophysiology 213 (July 2025): 113196. https://doi.org/10.1016/j.ijpsycho.2025.113196.

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Felsen, Gidon, and Zachary F. Mainen. "Midbrain contributions to sensorimotor decision making." Journal of Neurophysiology 108, no. 1 (2012): 135–47. http://dx.doi.org/10.1152/jn.01181.2011.

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Making decisions about future actions is a fundamental function of the nervous system. Classical theories hold that separate sets of brain regions are responsible for selecting and implementing an action. Traditionally, action selection has been considered the domain of high-level regions, such as the prefrontal cortex, whereas action generation is thought to be carried out by dedicated cortical and subcortical motor regions. However, increasing evidence suggests that the activity of individual neurons in cortical motor structures reflects abstract properties of “decision variables” rather tha
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Siegel, M., T. J. Buschman, and E. K. Miller. "Cortical information flow during flexible sensorimotor decisions." Science 348, no. 6241 (2015): 1352–55. http://dx.doi.org/10.1126/science.aab0551.

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Fooken, Jolande, and Miriam Spering. "Eye movements as a readout of sensorimotor decision processes." Journal of Neurophysiology 123, no. 4 (2020): 1439–47. http://dx.doi.org/10.1152/jn.00622.2019.

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Real-world tasks, such as avoiding obstacles, require a sequence of interdependent choices to reach accurate motor actions. Yet, most studies on primate decision making involve simple one-step choices. Here we analyze motor actions to investigate how sensorimotor decisions develop over time. In a go/no-go interception task human observers ( n = 42) judged whether a briefly presented moving target would pass (interceptive hand movement required) or miss (no hand movement required) a strike box while their eye and hand movements were recorded. Go/no-go decision formation had to occur within the
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Thura, David, Jean-François Cabana, Albert Feghaly, and Paul Cisek. "Integrated neural dynamics of sensorimotor decisions and actions." PLOS Biology 20, no. 12 (2022): e3001861. http://dx.doi.org/10.1371/journal.pbio.3001861.

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Recent theoretical models suggest that deciding about actions and executing them are not implemented by completely distinct neural mechanisms but are instead two modes of an integrated dynamical system. Here, we investigate this proposal by examining how neural activity unfolds during a dynamic decision-making task within the high-dimensional space defined by the activity of cells in monkey dorsal premotor (PMd), primary motor (M1), and dorsolateral prefrontal cortex (dlPFC) as well as the external and internal segments of the globus pallidus (GPe, GPi). Dimensionality reduction shows that the
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Thura, David, and Paul Cisek. "Microstimulation of dorsal premotor and primary motor cortex delays the volitional commitment to an action choice." Journal of Neurophysiology 123, no. 3 (2020): 927–35. http://dx.doi.org/10.1152/jn.00682.2019.

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Humans and other animals are faced with decisions about actions on a daily basis. These typically include a period of deliberation that ends with the commitment to a choice, which then leads to the overt expression of that choice through action. Previous studies with monkeys have demonstrated that neural activity in sensorimotor areas correlates with the deliberation process and reflects the moment of commitment before movement initiation, but the causal roles of these regions are challenging to establish. Here, we tested whether dorsal premotor (PMd) and primary motor cortex (M1) are causally
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Tatai, Fabian, Dominik Straub, and Constantin A. Rothkopf. "People take Newtonian physics into account in sensorimotor decisions under risk." Journal of Vision 24, no. 10 (2024): 1026. http://dx.doi.org/10.1167/jov.24.10.1026.

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Lekova, Anna K., Paulina Tsvetkova, and Anna Andreeva. "Enhancing Brain Health and Cognitive Development Through Sensorimotor Play in Virtual Reality: Uncovering the Neural Correlates." International Journal of Games and Social Impact 2, no. 1 (2024): 46–70. http://dx.doi.org/10.24140/ijgsi.v2.n1.03.

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Brain health is a critical part of well-being because it is a foundation for the ability to communicate, make decisions and solve real-life problems. Virtual reality games involve motor and sensory activities that can help to improve brain connectivity by providing an immersive and interactive experience that engages multiple brain regions simultaneously. Reinforcing sensorimotor activities influences cognitive skills and improves brain health. Sensorimotor play in virtual reality is a relatively new concept that is gaining attention as a tool for promoting brain health and cognitive abilities
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Sheppard, William E. A., Polly Dickerson, Rigmor C. Baraas, et al. "Exploring the effects of degraded vision on sensorimotor performance." PLOS ONE 16, no. 11 (2021): e0258678. http://dx.doi.org/10.1371/journal.pone.0258678.

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Purpose Many people experience unilateral degraded vision, usually owing to a developmental or age-related disorder. There are unresolved questions regarding the extent to which such unilateral visual deficits impact on sensorimotor performance; an important issue as sensorimotor limitations can constrain quality of life by restricting ‘activities of daily living’. Examination of the relationship between visual deficit and sensorimotor performance is essential for determining the functional implications of ophthalmic conditions. This study attempts to explore the effect of unilaterally degrade
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Wood, Megan, Amanda Waterman, Mark Mon-Williams, and Liam Hill. "Key kinematic measures of sensorimotor control identified via data reduction techniques in a population study (Born in Bradford)." Wellcome Open Research 9 (July 16, 2024): 381. http://dx.doi.org/10.12688/wellcomeopenres.22486.1.

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Background Sensorimotor processes underpin skilled human behaviour and can thus act as an important marker of neurological status. Kinematic assessments offer objective measures of sensorimotor control but can generate countless output variables. This study sought to guide future analyses of such data by determining the key variables that capture children’s sensorimotor control on a standardised assessment battery deployed in cohort studies. Methods The Born in Bradford (BiB) longitudinal cohort study has collected sensorimotor data from 22,266 children aged 4–11 years via a computerised kinem
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Dissertations / Theses on the topic "Sensorimotor decisions"

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Aguilar, Lleyda David. "Sensorimotor decision-making with moving objects." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/461673.

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Moving is essential for us to survive, and in countless occasions we move in response to visual information. However, this process is characterized as uncertain, given the variability present both at the sensory and motor stages. A crucial question, then, is how to deal with this uncertainty in order for our actions to lead to the best possible outcomes. Statistical decision theory (SDT) is a normative framework that establishes how people should make decisions in the presence of uncertainty. This theory identifies the optimal action as that which maximizes the expected reward (outcome) of
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Pho, Gerald N. (Gerald Norman). "Sensorimotor transformation and information coding across cortex during perceptual decisions." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113919.

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Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis. "June 2017." Page 206 blank.<br>Includes bibliographical references.<br>Perceptual decision-making is an important and experimentally tractable paradigm for uncovering general principles of neural information processing and cognitive function. While the process of mappi
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Manceau, Dylan. "Feeding state-dependent neuropeptidergic modulation of a sensorimotor circuit biases non-feeding related decisions in Drosophila larva." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL029.

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La flexibilité comportementale, soit l'adaptation du comportement aux changements de l'environnement ou de l'état interne, est essentielle pour la survie et la reproduction des animaux. L'état alimentaire, en particulier, exerce une forte influence sur le comportement, même en dehors des décisions liées à la nourriture. Cependant, la manière dont l'information sur l'état alimentaire affecte les circuits de décision non directement liés à l'alimentation reste un sujet de recherche en neurosciences. Notre projet vise à éclairer ces relations entre états physiologiques, circuits neuronaux et comp
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Pape, Anna-Antonia [Verfasser], and Markus [Akademischer Betreuer] Siegel. "There is more to decisions than meets the eye : Cortical motor activity and previous motor responses predict sensorimotor decisions / Anna-Antonia Pape ; Betreuer: Markus Siegel." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1199354686/34.

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Pape, Anna-Antonia Verfasser], and Markus [Akademischer Betreuer] [Siegel. "There is more to decisions than meets the eye : Cortical motor activity and previous motor responses predict sensorimotor decisions / Anna-Antonia Pape ; Betreuer: Markus Siegel." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1199354686/34.

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Acerbi, Luigi. "Complex internal representations in sensorimotor decision making : a Bayesian investigation." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16233.

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The past twenty years have seen a successful formalization of the idea that perception is a form of probabilistic inference. Bayesian Decision Theory (BDT) provides a neat mathematical framework for describing how an ideal observer and actor should interpret incoming sensory stimuli and act in the face of uncertainty. The predictions of BDT, however, crucially depend on the observer’s internal models, represented in the Bayesian framework by priors, likelihoods, and the loss function. Arguably, only in the simplest scenarios (e.g., with a few Gaussian variables) we can expect a real observer’s
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Huang, He. "Decision-making and motor control| computational models of human sensorimotor processing." Thesis, University of California, San Diego, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3673994.

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<p>To survive and effectively interact with the environment, human sensorimotor control system collects sensory information and acts based on the state of the world. Human behavior can be considered and studied at discrete time or continuous time. For the former, human makes discrete categorical decisions when presented with different alternative choices (e.g. choose Left or Right at an intersection). For the later, humans plan and execute continuous movements when instructed to perform a motor task (e.g. drive to a destination). In this dissertation we examine human behavior at both levels. P
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Glover, Arren John. "Developing grounded representations for robots through the principles of sensorimotor coordination." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71763/1/Arren_Glover_Thesis.pdf.

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Robots currently recognise and use objects through algorithms that are hand-coded or specifically trained. Such robots can operate in known, structured environments but cannot learn to recognise or use novel objects as they appear. This thesis demonstrates that a robot can develop meaningful object representations by learning the fundamental relationship between action and change in sensory state; the robot learns sensorimotor coordination. Methods based on Markov Decision Processes are experimentally validated on a mobile robot capable of gripping objects, and it is found that object recognit
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LA, TONA Giuseppe. "An Architecture for Observational Learning." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91227.

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In this thesis I present an architecture that learns new skills through observation and adapts to the environment through situated experience in the world. Such an architectural growth is bootstrapped from a minimal initial knowledge and the architecture itself is built around the biologically-inspired notion of internal models. The key idea, supported by findings in cognitive neuroscience, is that the same internal models used in overt goal-directed action execution can be covertly re-enacted in simulation to observe and understand the actions of others. The system applies these concepts to
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Mihoub, Alaeddine. "Apprentissage statistique de modèles de comportement multimodal pour les agents conversationnels interactifs." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT079/document.

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L'interaction face-à-face représente une des formes les plus fondamentales de la communication humaine. C'est un système dynamique multimodal et couplé – impliquant non seulement la parole mais de nombreux segments du corps dont le regard, l'orientation de la tête, du buste et du corps, les gestes faciaux et brachio-manuels, etc – d'une grande complexité. La compréhension et la modélisation de ce type de communication est une étape cruciale dans le processus de la conception des agents interactifs capables d'engager des conversations crédibles avec des partenaires humains. Concrètement, un mod
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Book chapters on the topic "Sensorimotor decisions"

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Körding, Konrad P., and Daniel M. Wolpert. "Probabilistic Mechanisms in Sensorimotor Control." In Percept, Decision, Action: Bridging the Gaps. John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470034989.ch15.

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Barash, Shabtai, and Mingsha Zhang. "Switching of Sensorimotor Transformations: Antisaccades and Parietal Cortex." In Percept, Decision, Action: Bridging the Gaps. John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470034989.ch6.

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Jelačić, Zlata. "Motor Cognition and Decision Theory in Sensorimotor Control." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-95194-7_39.

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Bittencourt, Juliana, Bruna Velasques, Silmar Teixeira, et al. "Schizophrenia: A Disorder of Timing and Sensorimotor Integration During Decision-Making." In Integrated Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96814-4_6.

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Duysens, Jacques, Geert Verheyden, Firas Massaad, Pieter Meyns, Bouwien Smits-Engelsman, and Ilse Jonkers. "Rehabilitation of gait and balance after CNS damage." In Oxford Textbook of Neurorehabilitation, edited by Volker Dietz, Nick S. Ward, and Christopher Kennard. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198824954.003.0018.

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This chapter discusses the importance of basic and clinical science for the rehabilitation of patients with stroke or SCI (spinal cord injury). Examples are given from novel approaches in rehabilitation. Insights can be obtained by investigating normal locomotor or postural activity but it is argued that the use of more challenging locomotor tasks can provide much needed additional information. To update rehabilitation tools it is also essential to keep track of new technological developments and new assessment tools. Careful assessments, based on advanced 3D recordings of posture and gait, ca
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Duysens, Jacques, Geert Verheyden, Firas Massaad, Pieter Meyns, Bouwien Smits-Engelsman, and Ilse Jonkers. "Rehabilitation of gait and balance after CNS damage." In Oxford Textbook of Neurorehabilitation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199673711.003.0018.

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This chapter discusses the importance of basic and clinical science for the rehabilitation of patients with stroke or SCI (spinal cord injury). Examples are given from novel approaches in rehabilitation. Insights can be obtained by investigating normal locomotor or postural activity but it is argued that the use of more challenging locomotor tasks can provide much needed additional information. To update rehabilitation tools it is also essential to keep track of new technological developments and new assessment tools. Careful assessments, based on advanced 3-D recordings of posture and gait, c
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Jaramillo, Jorge, and Zengcai V. Guo. "Thalamocortical Contributions to Neural Dynamics and Behavior." In The Cerebral Cortex and Thalamus, edited by Adam W. Hantman and Kevin P. Cross. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197676158.003.0035.

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Abstract Neurons in the frontal cortex exhibit intricate dynamics during cognitive functions such as perception, motor planning, and decision-making. Recent studies have demonstrated contributions from non-sensory thalamic nuclei to cortical neural dynamics underlying cognitive and sensorimotor computations. In a memory-guided motor-planning task, interactions between motor thalamus and frontal cortex maintain low-dimensional cortical dynamics (dynamical modes). In this chapter, the authors propose a circuit-level computational framework, whereby interaction between excitatory and inhibitory a
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Shukla, Rishi Prakash, Sanjay Taneja, Prashant S. Gundawar, Ravi Kumar Jain, and Priya Shukla. "Behaviour Examining Sensorimotor and Affective Responses to Marketing Stimuli Through Neuropsychology." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4236-7.ch013.

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Neuromarketing integrates neuroscience, psychology, and marketing to explore consumers' subconscious and emotional reactions to marketing stimuli. This interdisciplinary approach utilizes advanced neuroimaging and psychophysiological techniques to provide deeper insights into consumer behavior. The research employs a comprehensive literature review and bibliometric analysis, revealing significant trends, gaps, and advancements in the field. The findings underscore the importance of integrating neuromarketing into advertising practices to create more compelling campaigns that resonate with cons
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Faix, Marvin, Emmanuel Mazer, Raphaël Laurent, Mohamad Othman Abdallah, Ronan Le Hy, and Jorge Lobo. "Cognitive Computation." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch045.

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Probabilistic programming allows artificial systems to better operate with uncertainty, and stochastic arithmetic provides a way to carry out approximate computations with few resources. As such, both are plausible models for natural cognition. The authors' work on the automatic design of probabilistic machines computing soft inferences, with an arithmetic based on stochastic bitstreams, allowed to develop the following compilation toolchain: given a high-level description of some general problem, formalized as a Bayesian Program, the toolchain automatically builds a low-level description of a
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"Cognitive Architecture With Episodic Memory." In Reductive Model of the Conscious Mind. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5653-5.ch008.

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The authors chose a provocative title for this book. In this provocation, there is an incentive for those who would like to understand what consciousness is. Their goal was to explain the phenomenon, which is perhaps even harder to understand than the emergence of life from inanimate matter. Through this work, they developed and described a reductive model of conscious mind named motivated emotional mind. Although the basis for episodic memory are real events that were observed by the agent, memorized episodes can also be generated in the agent's mind. The working memory supports explanation o
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Conference papers on the topic "Sensorimotor decisions"

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Kolesovs, Aleksandrs, Klavs Evelis, Liga Ozolina-Molla, Liga Plakane, Juris Porozovs, and Viktors Veliks. "Exploration of EEG Markers of Sensorimotor Functioning During Incorrect versus Correct Decisions." In 81th International Scientific Conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/htqe.2023.42.

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Open-skill sports are demanding for athletes’ decision-making. Incorrect decisions can have substantial consequences. Complex programs for elite athletes include improvement of their neurocognitive functioning. Simultaneously, making errors remains underrepresented in broader sports science. The present study explored EEG markers of sensorimotor reactions under incorrect versus correct responses to visual stimuli. Seven male participants (24.2±2.5 years) completed the Choice Response Time task (CRT) with simultaneous EEG registration. Two color stimuli (red and green) and a discriminative stim
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Tatai, Fabian, Dominik Straub, and Constantin Rothkopf. "Humans use Newtonian physics in intuitive sensorimotor decisions under risk." In 2023 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1580-0.

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Martinez-Rodriguez, L. Alexandra, Elaine A. Corbett, and Simon P. Kelly. "Effects of value on early sensory activity and motor preparation during rapid sensorimotor decisions." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1171-0.

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Usenkova, Ekaterina V., and Olga A. Shirokova. "The use of information and communication technologies in the development of sensorimotor skills in preschool children with speech disorders." In Специальное образование: методология, практика, исследования. Yaroslavl state pedagogical university named after К. D. Ushinsky, 2021. http://dx.doi.org/10.20323/978-5-00089-532-0-2021-53-58.

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The dissemination of information and communication technologies in speech therapy practice makes it possible to open up new training options, which makes it possible to achieve better results in correctional work in order to eliminate violations of speech and sensory development of children. Children develop a holistic view of the world around them, social and cultural life, and their own personality. The formation of knowledge concerning a variety of areas is carried out, the ability to make decisions in accordance with their own knowledge and experience is improved, skills of interaction wit
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Reddy, P. V., E. W. Justh, and P. S. Krishnaprasad. "Motion camouflage with sensorimotor delay." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434522.

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Batta, Erasmo, and Christopher Stephens. "Heuristics as Decision-making Habits of Autonomous Sensorimotor Agents." In The 2019 Conference on Artificial Life. MIT Press, 2019. http://dx.doi.org/10.1162/isal_a_00144.

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Batta, Erasmo, and Christopher Stephens. "Heuristics as Decision-making Habits of Autonomous Sensorimotor Agents." In The 2019 Conference on Artificial Life. MIT Press, 2019. http://dx.doi.org/10.1162/isal_a_00144.xml.

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Zhong, Junpei, Rony Novianto, Mingjun Dai, Xinzheng Zhang, and Angelo Cangelosi. "A hierarchical emotion regulated sensorimotor model: Case studies." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531882.

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Karg, Philipp, Simon Stoll, Simon Rothfus, and Soren Hohmann. "Inverse Stochastic Optimal Control for Linear-Quadratic Gaussian and Linear-Quadratic Sensorimotor Control Models." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9992798.

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Nakahira, Yorie, Nikolai Matni, and John C. Doyle. "Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7403407.

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Reports on the topic "Sensorimotor decisions"

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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature
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