Relevant bibliographies by topics / Sensory inputs

Contents

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

Academic literature on the topic 'Sensory inputs'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Sensory inputs"

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Bui, Tuan V., and Robert M. Brownstone. "Sensory-evoked perturbations of locomotor activity by sparse sensory input: a computational study." Journal of Neurophysiology 113, no. 7 (2015): 2824–39. http://dx.doi.org/10.1152/jn.00866.2014.

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Sensory inputs from muscle, cutaneous, and joint afferents project to the spinal cord, where they are able to affect ongoing locomotor activity. Activation of sensory input can initiate or prolong bouts of locomotor activity depending on the identity of the sensory afferent activated and the timing of the activation within the locomotor cycle. However, the mechanisms by which afferent activity modifies locomotor rhythm and the distribution of sensory afferents to the spinal locomotor networks have not been determined. Considering the many sources of sensory inputs to the spinal cord, determini
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Santos, Bruno A., Rogerio M. Gomes, Xabier E. Barandiaran, and Phil Husbands. "Active Role of Self-Sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model." Neural Computation 34, no. 3 (2022): 686–715. http://dx.doi.org/10.1162/neco_a_01471.

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Abstract A growing body of work has demonstrated the importance of ongoing oscillatory neural activity in sensory processing and the generation of sensorimotor behaviors. It has been shown, for several different brain areas, that sensory-evoked neural oscillations are generated from the modulation by sensory inputs of inherent self-sustained neural activity (SSA). This letter contributes to that strand of research by introducing a methodology to investigate how much of the sensory-evoked oscillatory activity is generated by SSA and how much is generated by sensory inputs within the context of
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Mao, Yu-Ting, Tian-Miao Hua, and Sarah L. Pallas. "Competition and convergence between auditory and cross-modal visual inputs to primary auditory cortical areas." Journal of Neurophysiology 105, no. 4 (2011): 1558–73. http://dx.doi.org/10.1152/jn.00407.2010.

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Sensory neocortex is capable of considerable plasticity after sensory deprivation or damage to input pathways, especially early in development. Although plasticity can often be restorative, sometimes novel, ectopic inputs invade the affected cortical area. Invading inputs from other sensory modalities may compromise the original function or even take over, imposing a new function and preventing recovery. Using ferrets whose retinal axons were rerouted into auditory thalamus at birth, we were able to examine the effect of varying the degree of ectopic, cross-modal input on reorganization of dev
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Boettiger, Charlotte A., and Allison J. Doupe. "Intrinsic and Thalamic Excitatory Inputs Onto Songbird LMAN Neurons Differ in Their Pharmacological and Temporal Properties." Journal of Neurophysiology 79, no. 5 (1998): 2615–28. http://dx.doi.org/10.1152/jn.1998.79.5.2615.

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Boettiger, Charlotte A. and Allison J. Doupe. Intrinsic and thalamic excitatory inputs onto songbird LMAN neurons differ in their pharmacological and temporal properties. J. Neurophysiol. 79: 2615–2628, 1998. In passerine songbirds, the lateral portion of the magnocellular nucleus of the anterior neostriatum (LMAN) plays a vital role in song learning, possibly by encoding sensory information and providing sensory feedback to the vocal motor system. Consistent with this, LMAN neurons are auditory, and, as learning progresses, they evolve from a broadly tuned initial state to a state of strong p
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Kingwell, Katie. "The tune of sensory inputs." Nature Reviews Neuroscience 11, no. 7 (2010): 453. http://dx.doi.org/10.1038/nrn2872.

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OLSHAUSEN, B., and D. FIELD. "Sparse coding of sensory inputs." Current Opinion in Neurobiology 14, no. 4 (2004): 481–87. http://dx.doi.org/10.1016/j.conb.2004.07.007.

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Lin, Jiarui. "Sensory Inputs Guiding Cognitive Behaviors and Decision Making." Highlights in Science, Engineering and Technology 74 (December 29, 2023): 1399–404. http://dx.doi.org/10.54097/gew7ng02.

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Understanding human behaviors and higher cognitive functioning has long been an ultimate goal for psychologists and neuroscientists. Sensory inputs are pivotal in shaping the intricate landscape of complex behaviors and decision-making processes in both humans and animals. The distinct pathways through which the sensory information is perceived from the environment are referred as sensory modalities. Each sensory modality corresponds to a specific type of sensory input or sense, such as vision, hearing, or tactile, enabling us to gather information about the world around us. Sensory inputs int
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Porr, Bernd, and Paul Miller. "Forward propagation closed loop learning." Adaptive Behavior 28, no. 3 (2019): 181–94. http://dx.doi.org/10.1177/1059712319851070.

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For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to cha
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White, Bryan M., Aleksandra Stankovic, Stijn Thoolen, Nataliya Kosmyna, Vladimir Ivkovic, and Gary Strangman. "Sensory-Based Alterations and Countermeasures in Spaceflight and Spaceflight Analogs." Aerospace Medicine and Human Performance 96, no. 7 (2025): 556–68. https://doi.org/10.3357/amhp.6584.2025.

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INTRODUCTION: Long-duration spaceflight and isolated, confined, and extreme environments present various challenges to crewmembers. One less-frequently discussed challenge is altered sensory inputs and how they can adversely affect cognition and performance. Maintaining psychological and performance outcomes is crucial for mission success, and simple sensory-based countermeasures (CMs) can be surprisingly effective. This scoping review examines the impact of altered sensory inputs in these extreme environments, assesses current sensory-based CMs, and compares their effectiveness across sensory
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Ullström, Maria, David Parker, Erik Svensson, and Sten Grillner. "Neuropeptide-Mediated Facilitation and Inhibition of Sensory Inputs and Spinal Cord Reflexes in the Lamprey." Journal of Neurophysiology 81, no. 4 (1999): 1730–40. http://dx.doi.org/10.1152/jn.1999.81.4.1730.

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Neuropeptide-mediated facilitation and inhibition of sensory inputs and spinal cord reflexes in the lamprey. The effects of neuromodulators present in the dorsal horn [tachykinins, neuropeptide Y (NPY), bombesin, and GABAB agonists] were studied on reflex responses evoked by cutaneous stimulation in the lamprey. Reflex responses were elicited in an isolated spinal cord preparation by electrical stimulation of the attached tail fin. To be able to separate modulator-induced effects at the sensory level from that at the motor or premotor level, the spinal cord was separated into three pools with
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Dissertations / Theses on the topic "Sensory inputs"

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Khawaja, Farhan. "Hierarchical transformations of sensory inputs along the primate dorsal visual pathway." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121159.

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The dorsal pathway of macaque visual cortex is involved in the processing of motion signals that are useful for perception and behaviour. This involves multiple stages, with each stage integrating information from its predecessors. Along these stages, motion information is first measured by the primary visual cortex (V1), which sends specialized projections to extrastriate regions such as the middle temporal area (MT). Previous work with plaid stimuli has shown that most V1 neurons respond to the individual components of moving stimuli, while some MT neurons are capable of estimating the globa
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Montebelli, Alberto. "Towards navigation without sensory inputs: modelling Hesslow?s simulation hypothesis in artificial cognitive agents." Thesis, University of Skövde, School of Humanities and Informatics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-906.

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<p>In the recent years a growing interest in Cognitive Science has been directed to the cognitive role of the agent's ability to predict the consequences of their actions, without actual engagement with their environment. The creation of an experimental model for Hesslow's simulation hypothesis, based on the use of a simulated adaptive agent and the methods of evolutionary robotics within the general perspective of radical connectionism, is reported in this dissertation. A hierarchical architecture consisting of a mixture of (recurrent) experts is investigated in order to test its ability to p
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Böhm, Urs Lucas. "Physiological inputs to cerebrospinal fluid-contacting neurons." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066196/document.

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Les neurones au contact du liquide céphalorachidien (CSF-cNs) sont des cellules ciliées présentes tout autour du canal central de la moelle épinière. Ces cellules sont GABAergiques, déploient une brosse de microvillosités à l'intérieur de la lumière du canal et sont caractérisées par une expression du canal ionique Pkd2l1. Ceci les désigne comme de potentielles cellules sensorielles. Il a été montré que les CSF-cNs peuvent moduler la locomotion et qu'elles réagissent aux variations de pH in vitro. Cependant les modalités sensorielles transmises par ces cellules et leur implication dans la fonc
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Bishop, Darcy Clair. "The control of lower limb sensory inputs associated with a seated inverted-pendulum balancing task." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/MQ43140.pdf.

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Gummadavalli, Pavan Kumar Nair Satish S. Potts Jeffrey T. "Computational modeling of sensory circuitry in the nucleus tractus solitarii from arterial baroreceptor and somatosensory inputs." Diss., Columbia, Mo. : University of Missouri--Columbia, 2007. http://hdl.handle.net/10355/4941.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on September 10, 2009). Thesis advisor: Dr. Satish S. Nair, Dr. Jeffery T. Potts. Includes "Presentations and Publications" by author. Includes bibliographical references.
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Millard, Daniel C. "Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53405.

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A principal goal of neural engineering is to control the activation of neural circuits across space and time. The ability to control neural circuits with surrogate inputs is needed for the development of clinical neural prostheses and the experimental interrogation of connectivity between brain regions. Electrical stimulation provides a clinically viable method for activating neural tissue and the emergence of optogenetic stimulation has redefined the limitations on stimulating neural tissue experimentally. However, it remains poorly understood how these tools activate complex neural circui
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Jia, Hongbo Verfasser], Arthur [Akademischer Betreuer] [Konnerth, Thomas [Akademischer Betreuer] Misgeld, and Bert [Akademischer Betreuer] Sakmann. "Dendritic organization of sensory inputs in cortical neurons in vivo / Hongbo Jia. Gutachter: Thomas Misgeld ; Bert Sakmann. Betreuer: Arthur Konnerth." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1019587792/34.

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Schulze, Aljoscha 1980. "Characterizing the encoding of dynamical olfactory inputs in single olfactory sensory neurons to remote control larval chemotaxis by means of optogenetics." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/482048.

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Animals have to deal with an environment presenting vast amounts of ever-changing sensory information. What features of this information flow are captured by the sensory system? My thesis work examines how signals experienced during free olfactory behaviors are processed by first-order olfactory sensory neurons (OSNs) of the Drosophila larva. By combining a novel extracellular recording technique with a microfluidics control system to control odor delivery in time and space, the computational principles underlying the encoding of dynamical odor stimuli were explored in a single OSN. A
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McNair, Nicolas A. "Input-specificity of sensory-induced neural plasticity in humans." Thesis, University of Auckland, 2008. http://hdl.handle.net/2292/3285.

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The aim of this thesis was to investigate the input-specificity of sensory-induced plasticity in humans. This was achieved by varying the characteristics of sine gratings so that they selectively targeted distinct populations of neurons in the visual cortex. In Experiments 1-3, specificity was investigated with electroencephalography using horizontally- and vertically-oriented sine gratings (Experiment 1) or gratings of differing spatial frequency (Experiments 2 & 3). Increases in the N1b potential were observed only for sine gratings that were the same in orientation or spatial frequency as t
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Nargis, Sultana Mahbuba. "Sensory Input and Mental Imagery in Second Language Acquisition." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418370678.

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Books on the topic "Sensory inputs"

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Proebster, Walter E. Peripherie von Informationssystemen: Technologie und Anwendung : Eingabe, Tastatur, Sensoren, Sprache etc. : Ausgabe, Drucker, Bildschirm, Anzeigen etc. : externe Speicher, Magnetik, Optik etc. Springer-Verlag, 1987.

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AIPR Workshop (26th 1997 Washington, D.C.). Exploiting new image sources and sensors: 26th AIPR Workshop, 15-17 October 1997, Washington, D.C. Edited by Selander J. Michael 1952-, Society of Photo-optical Instrumentation Engineers., and AIPR Executive Committee. SPIE, 1998.

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Albeanu, Dinu Florentin. Multimodal imaging of sensory inputs and neuronal coding in the rodent olfactory bulb. 2008.

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Guillery, Ray. Thalamic higher-order driver inputs as sensorimotor links. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0009.

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This chapter provides a closer look at the branching patterns of driver inputs to higher-order thalamic nuclei, and introduces their functional significance for discussion in later chapters. Their thalamic branches bring information for relay to higher cortical levels, including a copy of the information carried in the motor branches about anticipated cortical contributions to the control of actions and consequent changes in perceptions. In this way, the cortex can add to the control of an action when there is a mismatch between action and perception. Most of these branched axons that have so
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Guillery, Ray. Defining the functional components of the thalamic gate. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0008.

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This chapter starts by summarizing the electron microscopic appearance of the retinogeniculate axons and their immediate environment. These form the functional components of the visual input to the thalamic gate. I then look at evidence that all major thalamic relay nuclei have a shared structure produced by a shared developmental and evolutionary origin. Each nucleus receives a small proportion of its synaptic inputs (&lt;10%) for relay to the cortex; these are the drivers. Drivers are topographically organized with the topography representing body parts, sensory space, or parts of the brain.
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Guillery, Ray. The pathways for perception. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0002.

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Chapter 2 outlines some of the evidence on which the seemingly strong standard view has been based. The early discovery that ventral nerve roots of the spinal cord provide a motor output and dorsal nerve roots provide a sensory input supported the dichotomy of the standard view. Then as each sensory pathway was traced to the thalamus for relay to the cortex, the separate inputs from the sensory receptors—visual, auditory, gustatory, and so on—could be seen as providing the cortex with a ‘view’ of the world. The nature of this view became strikingly clear once investigators could understand (re
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Mason, Peggy. Cerebellum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0024.

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The cerebellum uses sensory feedback and information about intended actions to ensure coordinated and smooth movements despite changing conditions. An analogy between the cerebellum and an orchestral conductor is elaborated. The cerebellum’s involvement in forming and executing motor memories is presented. Cerebellar circuits through the cerebellar cortex and deep nuclei and the dependence of cerebellar learning on climbing fiber input to Purkinje cells are briefly described. Sensory reafference and motor efference copy are defined and their roles in coordinating movement introduced. Cerebella
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Inc, Bergwall Productions. Input Sensors. Delmar Thomson Learning, 1990.

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Serences, John T., and Sabine Kastner. A Multi-level Account of Selective Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.022.

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To achieve behavioural goals, relevant sensory stimuli must be processed more quickly and reliably than irrelevant distracters. The ability to prioritize relevant over irrelevant stimuli is usually referred to as selective information processing, or selective attention. Over the last 50–60 years, there has been an ongoing debate about the point along the sensory–response processing stream at which selective attention operates: are relevant and irrelevant inputs segregated early in processing based on low-level featural differences, or does this segregation occur late in processing after the me
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Mason, Peggy. Forebrain. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0007.

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The anatomy and function of forebrain circuits is described. The role of the hypothalamus as the executive center for regulating and protecting the body’s physiology is detailed. The thalamus is a necessary interpreter for subcortical inputs to cerebral cortex, which uses thalamic input to map the sensory world. The amygdala, critical to expressing and interpreting fear, has been implicated in post-traumatic stress disorder. During resting conditions, the basal ganglia suppress movement. Damage to the basal ganglia produces a hypo- or hyperkinetic disorder. The representation of visual fields
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Book chapters on the topic "Sensory inputs"

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Cervero, Fernando. "Dorsal Horn Neurons and Their Sensory Inputs." In Spinal Afferent Processing. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-4994-5_9.

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Wu, Tz-Ying, Juan-Ting Lin, Tsun-Hsuang Wang, Chan-Wei Hu, Juan Carlos Niebles, and Min Sun. "Liquid Pouring Monitoring via Rich Sensory Inputs." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01252-6_21.

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Vedenina, V. Yu, and A. L. Byzov. "Characteristics of Sensory Inputs in Cricket Cercal System." In Sensory Systems and Communication in Arthropods. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6410-7_65.

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Hensler, Klaus. "Corrective Flight Steering in Locusts: Convergence of Extero- and Proprioceptive Inputs in Descending Deviation Detectors." In Neurobiology of Sensory Systems. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-2519-0_36.

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Lapitsky, Victor P., Vladimir V. Kovalev, and Anna I. Grigoryeva. "The Action of Sensory Inputs on Motor Centers Excitability in Insects." In Sensory Systems and Communication in Arthropods. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6410-7_50.

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Katori, Yuichi. "Brain-Inspired Reservoir Computing Models." In Photonic Neural Networks with Spatiotemporal Dynamics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5072-0_13.

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AbstractThis chapter presents an overview of brain-inspired reservoir computing models for sensory-motor information processing in the brain. These models are based on the idea that the brain processes information using a large population of interconnected neurons, where the dynamics of the system can amplify, transform, and integrate incoming signals. We discuss the reservoir predictive coding model, which uses predictive coding to explain how the brain generates expectations regarding sensory input and processes incoming signals. This model incorporates a reservoir of randomly connected neur
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Sebastiani, Paola, Marco Ramoni, and Paul Cohen. "Bayesian Analysis of Sensory Inputs of a Mobile Robot." In Case Studies in Bayesian Statistics Volume V. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0035-9_11.

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Jia, Hongbo, and Arthur Konnerth. "In Vivo Dendritic Mapping of Sensory Inputs in Cortical Neurons." In Neuromethods. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-785-3_6.

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Vishnevskaya, Tamara M., and Tatyana M. Shura-Bura. "Spectral Sensitivity of Photoreceptors and Spectral Inputs to the Neurons of the First Optic Ganglion in the Locust (Locusta migratoria)." In Sensory Systems and Communication in Arthropods. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6410-7_20.

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Rinaman, Linda. "Organization and Postnatal Development of Visceral Sensory Inputs to the Neuroendocrine Hypothalamus." In Masterclass in Neuroendocrinology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40002-6_13.

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Conference papers on the topic "Sensory inputs"

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Furtner, Lukas, Isabell Viedt, and Leon Urbas. "A combined approach to optimization of soft sensor architecture and physical sensor configuration." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.103294.

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In the chemical industry, soft sensors are deployed to reduce equipment cost or allow for a continuous measurement of process variables. Soft sensors monitor parameters not via physical sensors but infer them from other process variables. On the one hand, the precision of a soft sensors is affected by its architecture, the choice of parametric equations like balances and thermodynamic or kinetic dependencies in the soft sensor model. On the other hand, uncertainty that is inherent to the input variable values propagates through the soft sensor model and impacts the output uncertainty. The latt
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Theisen, M. F., G. M. H. Meesters, and A. M. Schweidtmann. "Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.185977.

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Data-driven soft sensors help in process operations by providing real-time estimates of otherwise hard to measure process quantities, e.g., viscosities or product concentrations. Currently, soft sensors need to be developed individually per plant. Using transfer learning, machine learning based soft sensors could be re-used and fine-tuned across plants and applications. However, transferring data-driven soft sensor models is in practice often not possible, because the fixed input structure of standard soft sensor models prohibits transfer if, e.g., the sensor information is not identical in al
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Kadish, David. "Clustering sensory inputs using NeuroEvolution of augmenting topologies." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205651.3205771.

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Luo, Jianlan, Riley Edmunds, Franklin Rice, and Alice M. Agogino. "Tensegrity Robot Locomotion Under Limited Sensory Inputs via Deep Reinforcement Learning." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8463144.

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Bybee, Taylor C., and Jeffrey L. Ferrin. "ALGORITHM FOR POINT CLOUD OCCLUSION MAPPING ON AN AUTONOMOUS GROUND VEHICLE." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3820.

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&lt;title&gt;ABSTRACT&lt;/title&gt; &lt;p&gt;For safe navigation through an environment, autonomous ground vehicles rely on sensory inputs such as cameras, LiDAR, and radar for detection and classification of obstacles and impassable terrain. These sensors provide data representing 3D space surrounding the vehicle. Often this data is obscured by dust, precipitation, objects, or terrain, producing gaps in the sensor field of view. These gaps, or occlusions, can indicate the presence of obstacles, negative obstacles, or rough terrain. Because sensors receive no data in these occlusions, sensor d
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Handa, Hisashi, and Hiroshi Kawakami. "Dimension reduction by Manifold Learning for Evolutionary Learning with redundant sensory inputs." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586229.

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Wilson, D. "Workplace performance monitoring: analysing the combination of physiological and environmental sensory inputs." In IEE Eurowearable '03. IEE, 2003. http://dx.doi.org/10.1049/ic:20030141.

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Sugiura, Komei, Daisuke Matsubara, and Osamu Katai. "Construction of Robotic Body Schema by Extracting Temporal Information from Sensory Inputs." In 2006 SICE-ICASE International Joint Conference. IEEE, 2006. http://dx.doi.org/10.1109/sice.2006.315696.

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Zhou, Zitong, and Wei Gong. "Multi-Sensory Integration and Emotional Responses: The Impact of Materials on Perception and Emotion." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006024.

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With the rapid advancement of virtual reality (VR) technology, multi-sensory integration has become a significant area of focus in the emotional design of virtual environments. Materials play an important role in shaping both perception and emotion, while tactile stimuli are particularly influential in cognitive and emotional responses. Additionally, research indicates that there is an integration between vision, hearing, and touch. Studies have demonstrated that combining various sensory inputs, particularly tactile, visual, and auditory stimuli, can enhance cross-sensory integration. While r
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Li, Jiahao Nick, Yan Xu, Tovi Grossman, Stephanie Santosa, and Michelle Li. "OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs." In CHI '24: CHI Conference on Human Factors in Computing Systems. ACM, 2024. http://dx.doi.org/10.1145/3613904.3642068.

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Reports on the topic "Sensory inputs"

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Parker, Michael, Alex Stott, Brian Quinn, Bruce Elder, Tate Meehan, and Sally Shoop. Joint Chilean and US mobility testing in extreme environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42362.

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Vehicle mobility in cold and challenging terrains is of interest to both the US and Chilean Armies. Mobility in winter conditions is highly vehicle dependent with autonomous vehicles experiencing additional challenges over manned vehicles. They lack the ability to make informed decisions based on what they are “seeing” and instead need to rely on input from sensors on the vehicle, or from Unmanned Aerial Systems (UAS) or satellite data collections. This work focuses on onboard vehicle Controller Area Network (CAN) Bus sensors, driver input sensors, and some externally mounted sensors to assist
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Jones, Scott B., Shmuel P. Friedman, and Gregory Communar. Novel streaming potential and thermal sensor techniques for monitoring water and nutrient fluxes in the vadose zone. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7597910.bard.

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The “Novel streaming potential (SP) and thermal sensor techniques for monitoring water and nutrient fluxes in the vadose zone” project ended Oct. 30, 2015, after an extension to complete travel and intellectual exchange of ideas and sensors. A significant component of this project was the development and testing of the Penta-needle Heat Pulse Probe (PHPP) in addition to testing of the streaming potential concept, both aimed at soil water flux determination. The PHPP was successfully completed and shown to provide soil water flux estimates down to 1 cm day⁻¹ with altered heat input and timing a
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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in
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Beshouri, Greg, and Bob Goffin. PR-309-15209-R01 Evaluation of NSCR Specific Models for Use in CEPM. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011554.

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This 2015 NSCR project continues NSCR research started in 2009 and continued in 2011 under ERLE 2c and combines it with OBD research started in 2008 and continued in 2011. The 2009 NSCR research concluded that downstream measurement of lambda, O2 and NOx are useful for understanding performance of the entire package and evaluating compliance status and diagnosing system problems. However, that research also concluded that advanced signal conditioning and algorithms are required for unambiguous diagnostics. It also concluded system diagnostics was complex and beyond the capabilities of typical
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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim
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McMurtrey, Michael, Kunal Mondal, Joseph Bass, Kiyo Fujimoto, and Austin Biaggne. Report on plasma jet printer for sensor fabrication with process parameters optimized by simulation input. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1668670.

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Baker, John L., James L. Olds, and Joel L. Davis. A Novel Approach to Large Scale Brain Network Models: An Algorithmic Model for Place Cell Emergence With Robotic Sensor Input. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425321.

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Warin, Thierry, and Sarah Elimam. GDP 5.0: Real-Time, Micro-Founded and Sustainable Metrics for Beyond-GDP Economic Assessment. CIRANO, 2025. https://doi.org/10.54932/wfji8791.

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Gross Domestic Product (GDP) remains the dominant yardstick for economic performance, yet its aggregated, nation-bound and market-exclusive nature obscures crucial dimensions of prosperity, equity and environmental sustainability. Building on recent advances in data science and the expanding “Beyond-GDP” literature, this article argues for a generational shift in economic measurement designated “GDP 5.0.” This new approach of GDP integrates high-frequency, geolocated micro-data with artificial-intelligence methods to generate real-time dashboards of economic activity, social welfare and planet
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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test att
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