Relevant bibliographies by topics / Sensorimotor integration

Contents

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

Academic literature on the topic 'Sensorimotor integration'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Sensorimotor integration"

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Mates, Jiří, Ulrike Müller, Tomáš Radil, and Ernst Pöppel. "Temporal Integration in Sensorimotor Synchronization." Journal of Cognitive Neuroscience 6, no. 4 (July 1994): 332–40. http://dx.doi.org/10.1162/jocn.1994.6.4.332.

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The concept of a temporal integration process in the timing mechanisms in the brain, postulated on the basis of experimental observations from various paradigms (for a review see P$oUppel, 1978), has been explored in a sensorimotor synchronization task. Subjects synchronized their finger taps to sequences of auditory stimuli with interstimulus-onset intervals (ISIs) between 300 and 4800 msec in different trials. Each tonal sequence consisted of 110 stimuli; the tones had a frequency of 500 Hz and a duration of 100 msec. As observed previously, response onsets preceded onsets of the stimuli by some tens of milliseconcls for ISIs in the range from about 600 to 1800 msec. For ISIs longer than or equal to 2400 msec, the ability to time the response sequence in such a way that the response 5 were placed right ahead of the stimuli started to break clown, i.e., the task was fulfilled by reactions to the stimuli rather than by advanced responses. This observation can he understood within the general framework of a temporal integration puce 55 that is supposed to have a maximal capacity (integration interval) of approximately 3 sec. Only if successive stimuli fall within one integration period, can motor programs be initiated properly by a prior stimulus and thus lead to an appropriate synchronization between the stimulus sequence and corresponding motor acts.
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Batuev, Alexander S. "Cortical Sensorimotor Integration: A Hypothesis." International Journal of Neuroscience 44, no. 1-2 (January 1989): 53–57. http://dx.doi.org/10.3109/00207458908986182.

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Körding, Konrad P., and Daniel M. Wolpert. "Bayesian integration in sensorimotor learning." Nature 427, no. 6971 (January 2004): 244–47. http://dx.doi.org/10.1038/nature02169.

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Chicoine, Anne‐Josée, Maryse Lassonde, and Luc Proteau. "Developmental aspects of sensorimotor integration." Developmental Neuropsychology 8, no. 4 (January 1992): 381–94. http://dx.doi.org/10.1080/87565649209540533.

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Huston, Stephen J., and Vivek Jayaraman. "Studying sensorimotor integration in insects." Current Opinion in Neurobiology 21, no. 4 (August 2011): 527–34. http://dx.doi.org/10.1016/j.conb.2011.05.030.

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DeLong, N. D., and M. P. Nusbaum. "Hormonal Modulation of Sensorimotor Integration." Journal of Neuroscience 30, no. 7 (February 17, 2010): 2418–27. http://dx.doi.org/10.1523/jneurosci.5533-09.2010.

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Abbruzzese, Giovanni, and Alfredo Berardelli. "Sensorimotor integration in movement disorders." Movement Disorders 18, no. 3 (February 28, 2003): 231–40. http://dx.doi.org/10.1002/mds.10327.

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Bologna, Matteo, and Giulia Paparella. "Neurodegeneration and Sensorimotor Function." Brain Sciences 10, no. 11 (November 1, 2020): 808. http://dx.doi.org/10.3390/brainsci10110808.

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Sensorimotor integration is an essential function for both motor control and learning. Over recent decades, a growing body of evidence has emerged in support of the role of altered sensorimotor integration in the pathophysiology of various neurological conditions and movement disorders, particularly bradykinesia, tremor, and dystonia. However, the various causes and mechanisms underlying altered sensorimotor integration in movement disorders are still not entirely understood. The lack of complete insight into the pathophysiological role of altered sensorimotor integration in movement disorders is certainly due to the heterogeneity of movement disorders as well as to the variable occurrence of neurodegenerative phenomena, even in idiopathic movement disorders, which contribute to pathophysiology in a complex and often not easily interpretable way. Clarifying the possible relationship between neurodegenerative phenomena and sensorimotor deficits in movement disorders and other neurological conditions may guide the development of a more detailed disease prognosis and lead, perhaps, to the implementation of novel and individualized therapeutic interventions.
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Miyazaki, Makoto, Daichi Nozaki, and Yasoichi Nakajima. "Testing Bayesian Models of Human Coincidence Timing." Journal of Neurophysiology 94, no. 1 (July 2005): 395–99. http://dx.doi.org/10.1152/jn.01168.2004.

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A sensorimotor control task often requires an accurate estimation of the timing of the arrival of an external target (e.g., when hitting a pitched ball). Conventional studies of human timing processes have ignored the stochastic features of target timing: e.g., the speed of the pitched ball is not generally constant, but is variable. Interestingly, based on Bayesian theory, it has been recently shown that the human sensorimotor system achieves the optimal estimation by integrating sensory information with prior knowledge of the probabilistic structure of the target variation. In this study, we tested whether Bayesian integration is also implemented while performing a coincidence- timing type of sensorimotor task by manipulating the trial-by-trial variability (i.e., the prior distribution) of the target timing. As a result, within several hundred trials of learning, subjects were able to generate systematic timing behavior according to the width of the prior distribution, as predicted by the optimal Bayesian model. Considering the previous studies showing that the human sensorimotor system uses Bayesian integration in spacing and force-grading tasks, our result indicates that Bayesian integration is fundamental to all aspects of human sensorimotor control. Moreover, it was noteworthy that the subjects could adjust their behavior both when the prior distribution was switched from wide to narrow and vice versa, although the adjustment was slower in the former case. Based on a comparison with observations in a previous study, we discuss the flexibility and adaptability of Bayesian sensorimotor learning.
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Grau-Moya, Jordi, Pedro A. Ortega, and Daniel A. Braun. "Risk-Sensitivity in Bayesian Sensorimotor Integration." PLoS Computational Biology 8, no. 9 (September 27, 2012): e1002698. http://dx.doi.org/10.1371/journal.pcbi.1002698.

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Dissertations / Theses on the topic "Sensorimotor integration"

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Liu, Ting Ting. "Spinal interneurons in sensorimotor integration." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1299/.

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Even though spinal cord research has expanded enormously during the past decades, we still lack a precise understanding of how spinal interneuron networks perfectly integrate sensory feedback with motor control, and how these neuron circuits give rise to specific functions. The present study thus has three basic aims: (1) to investigate propriospinal interneurons connecting rostral and caudal lumbar spinal cord in the rat; (2) to investigate input properties of identified spinal interneurons interposed in different pathways; (3) to investigate cholinergic terminals in the ventral horn of adult rat and cat. To realize the first aim, the B-subunit of cholera toxin (CTb) was injected into the motor nuclei at the L1 or L3 segmental level to retrogradely label propriospinal interneurons in the L5 segment of rat spinal cord. These cells had a clear distribution pattern which showed that they were located mainly in ipsilateral dorsal horn and contralateral lamina VIII. A series triple-labelling experiments revealed that about 1/4 of the CTb-positive cells were immunoreactive for calbindin and/or calretinin. It was also found that a small population of CTb labelled cells were cholinergic and were observed mainly in three locations: lamina X, the medial part of intermediate zone and lamina VIII. In addition, injection of CTb also anterogradely labelled axon terminals, which arose from the commissural interneurons (CINs) within the site of injection, crossed the midline and aroborized in the contralateral lateral motor nuclei of the L5 segment. The neurotransmitter systems in labelled axon terminals of CINs were investigated by using antibodies raised against specific transmitter-related proteins. The results showed that approximately 3/4 terminals were excitatory and among those excitatory terminals about 3/4 forming contacts with motoneurons. To achieve the second aim, 21 interneurons located in the intermediate zone and lamina VIII from 7 adult cats were characterised electrophysiologically and labelled intracellularly with Neurobiotin. Seventeen of these cells were activated monosynaptically from primary muscle afferents but the remaining four cells received monosynaptic inputs from the medial longitudinal fasciculus (MLF). Quantitative analysis revealed that cells in the first group received many contacts from excitatory terminals that were immunoreactive for the vesicular glutamate transporter 1 (VGLUT1) but those cells from the second group received few contacts of this type and were predominantly contacted by terminals immunoreactive for vesicular glutamate transporter 2 (VGLUT2). This result was as predicted because VGLUT1 is found principally in the terminals of myelinated primary afferent axons whereas VGLUT2 is located in the terminals of interneurons in the spinal cord. Interneurons in the first group were then characterised as excitatory and inhibitory on the basis of the transmitter content contained within their axon terminals. Although there was a greater density of VGLUT1 contacts on excitatory rather than inhibitory cells, the difference was not statistically significant. GABAergic terminals formed close appositions with VGLUT1 contacts on both excitatory and inhibitory cells. These appositions were likely to be axoaxonic synapses which mediate presynaptic inhibition. In addition, the densities of VGLUT1 and VGLUT2 contacts on 30 dorsal horn CINs and 60 lamina VIII CINs that were retrogradely labelled with CTb from 3 adult rats were compared. The results showed that VGLUT2 terminals formed the majority of excitatory inputs to both dorsal horn and lamina VIII CINs but dorsal horn CINs received a significantly greater density of VGLUT1/2 inputs than lamina VIII CINs. In order to achieve the third aim, i.e. whether glutamate is a cotransmitter at motoneuron axon collateral terminals in the ventral horn, a series of anatomical experiments were performed on axon collaterals obtained from motoneurons from an adult cat and retrogradely labelled by CTb in adult rats. There was no evidence to support the presence of vesicular glutamate transporters in motoneuron axon terminals of either species. In addition, there was no obvious relationship between motoneuron terminals and R2 subunit of the AMPA receptor (GluR2). However, a population of cholinergic terminals in lamina VII, which did not originate from motoneurons, was found to be immunoreactive for VGLUT2 and formed appositions with GluR2 subunits. These terminals were smaller than motoneuron terminals and, unlike them, formed no relationship with Renshaw cells. The evidence suggests that glutamate does not act as a cotransmitter with acetylcholine at central synapses of motoneurons in the adult cat and rat. However, glutamate is present in a population of cholinergic terminals which probably originate from interneurons where its action is via an AMPA receptor. In conclusion, the present studies add to the understanding of the organization of neuronal networks involved in sensorimotor integration. Propriospinal interneurons located within the lumbar segments have extensive intra-segmental projections to motor nuclei. First order interneurons interposed in reflex pathways and descending pathways receive a significantly different pattern of inputs. A similar proportion of monosynaptic excitatory input from primary afferents has been found in both excitatory and inhibitory interneurons and these two types of cells are subject to presynaptic inhibitory control of this input.
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Biswas, Amitava. "Perioral sensorimotor integration in Parkinson's disease." [Bloomington, Ind.] : Indiana University, 2005. http://wwwlib.umi.com/dissertations/fullcit/3183913.

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Ghahramani, Zoubin. "Computation and psychophysics of sensorimotor integration." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11123.

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Ingram, Helen Anne. "Sensorimotor integration and control in human movement." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302009.

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Knafo, Steven. "Sensorimotor integration in the moving spinal cord." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066559/document.

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Certaines observations suggèrent que les afférences méchano-sensorielles peuvent moduler l’activité des générateurs centraux du rythme locomoteur (ou Central Pattern Generators, CPGs). Cependant, il est impossible d’explorer les circuits neuronaux sous-jacents chez l’animal en mouvement à l’aide d’enregistrements électrophysiologiques lors d’expériences de locomotion dite « fictive ». Dans cette étude, nous avons enregistré de façon sélective et non-invasive les neurones moteurs et sensoriels dans la moelle épinière pendant la locomotion active en ciblant génétiquement le senseur bioluminescent GFP-Aequorin chez la larve de poisson zèbre. En utilisant l’imagerie calcique à l’échelle des neurones individuels, nous confirmons que les signaux de bioluminescence reflètent bien le recrutement différentiel des groupes de motoneurones spinaux durant la locomotion active. La diminution importante de ces signaux chez des animaux paralysés ou des mutants immobiles démontre que le retour méchano-sensoriel augmente le recrutement des motoneurones spinaux pendant la locomotion active. En accord avec cette observation, nous montrons que les neurones méchano-sensoriels spinaux sont en effet recrutés chez les animaux en mouvement, et que leur inhibition affecte les réflexes d’échappement chez des larves nageant librement. L’ensemble de ces résultats met en lumière la contribution du retour méchano-sensoriel sur la production locomotrice et les différences qui en résultent entre les locomotions active et fictive
There is converging evidence that mechanosensory feedback modulates the activity of spinal central pattern generators underlying vertebrate locomotion. However, probing the underlying circuits in behaving animals is not possible in “fictive” locomotion electrophysiological recordings. Here, we achieve selective and non-invasive monitoring of spinal motor and sensory neurons during active locomotion by genetically targeting the bioluminescent sensor GFP-Aequorin in larval zebrafish. Using GCaMP imaging of individual neurons, we confirm that bioluminescence signals reflect the differential recruitment of motor pools during motion. Their significant reduction in paralyzed animals and immotile mutants demonstrates that mechanosensory feedback enhances the recruitment of spinal motor neurons during active locomotion. Accordingly, we show that spinal mechanosensory neurons are recruited in moving animals and that their silencing impairs escapes in freely behaving larvae. Altogether, these results shed light on the contribution of mechanosensory feedback to motor output and the resulting differences between active and fictive locomotion
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Chong, Man-Tze Mabel. "Development of sensorimotor integration and modulation in zebrafish." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18784.

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Neural control of behaviour during development is a complicated orchestration of gene expression, neuronal differentiation, axonal projection, modification of intrinsic membrane properties and connectivity of neural circuits. The studies in this thesis combined genetic, molecular, and physiological assays to investigate neuromodulation, reticulospinal contribution, and neurogenic programming of the limited behavioural repertoire of developing zebrafish. Maturation of early swimming, the change from infrequent episodes of swim bursts to a sustained “beat-and-glide” pattern, was mediated by serotonergic modulation of the spinal network. Serotonergic immunoreactivity was first detected in neurons located in the ventral spinal cord at 2 days post-fertilization (dpf). A second population of serotonergic neurons was detected in the hindbrain but these remained isolated from the spinal cord in the stages studied (2-4 dpf). Serotonergic modulation of the fictive swim pattern only occurred in 4 dpf larvae, the time when “beat-and-glide” swimming emerges, but not in younger larvae. Application of serotonin did not affect properties of activity (beat-and-glide) periods, but instead reduced the periods of inactivity between activity periods. Hindbrain reticulospinal (RS) neurons displayed four types of activity patterns during simultaneous spinal motoneuron recordings of fictive swimming activity in zebrafish larvae. RS neurons generated these activity patterns even in the absence of ascending spinal input during development. The spinal CPG network, however, failed to produce rhythmic oscillations in the presence of N-methly-d-aspartate when it developed without descending RS input, indicating that the latter are necessary for development of CPG activity. In addition to swimming, zebrafish larvae also produce startle responses in reaction to potential danger, a behaviour that is missing in hi472 mutant larvae. hi472 mutation disrupt
Le contrôle neuronal du comportement durant le développement dépend de l'intégration complexe de l'expression génétique, de la différentiation neuronale, de la projection axonale, de la modification des propriétés membranaires intrinsèques et de la connectivité des circuits neuronaux. Les études décrites dans cette thèse regroupent des approches génétiques, moléculaires et physiologiques afin d'examiner la neuromodulation, la contribution du système réticulospinal et la programmation neurogène afin d'étudier le répertoire limité des comportements du poisson zébré en voie de développement. Vers la quatrième journée du développement les larves changent leur comportement de natation, ils passent d'épisodes rares et de courte durée de natation en un patron maintenu de type nage-et-glisse, ou le poisson exécute quelques fortes contractions de la queue suive d'une période de glisse. Nous avons démontré cette maturation de la natation précoce, est due à la modulation sérotoninergique du réseau spinal. L'immunoréactivité sérotoninergique est détectée initialement chez une population de neurones situés dans la moelle épinière ventrale à 2 jours post-fertilisation (jpf). Une deuxième population de neurones sérotoninergiques a été détectée dans le tronc cérébral mais celle-ci ne projette pas d'axones vers la moelle épinière aux stades étudiés (2-4 jpf). La modulation sérotoninergique du patron de natation fictive se manifeste seulement chez des alevins de 4 jpf, au moment ou la natation nage-et-glisse se déploie, mais pas chez des alevins plus jeunes. Nous avons aussi démontré que l'application de sérotonine n'a aucun effet sur les propriétés des épisodes de nage active mais par contre, résulte en une réduction de la durée périodes d'inactivité entre les épisodes de nage-et glisse. Les neurones réticulospinaux (RS) du tronc cérébral manifestent quatre types de patron d'acti
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Mooshagian, Eric Frederick. "Behavioral and physiological examination of spatial attention in visuomotor integration." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619409101&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Peterson, Lauri Jo. "Resource guide for guidance counselors and teachers of students with sensory integration disorder and behavior attention problems." Online version, 2003. http://www.uwstout.edu/lib/thesis/2003/2003petersonl.pdf.

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Howell, Steve R. Becker Suzanna. "Sensorimotor representations of meaning in early language acquisition /." *McMaster only, 2004.

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H, Gardner Sara. "The effects and benefits of sensory integration therapy on a student with autism." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009gardners.pdf.

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Books on the topic "Sensorimotor integration"

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Moore, Austen Peter. Sensorimotor integration in Parkinson's disease. Birmingham: University of Birmingham, 1987.

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Rickards, Christopher. Sensorimotor integration in Parkinson's disease. Manchester: University of Manchester, 1993.

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Krieger, Patrik, and Alexander Groh, eds. Sensorimotor Integration in the Whisker System. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7.

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Sheda, Constance H. Sensorimotor processing activity plans. San Antonio, Tex: Therapy Skill Builders, 1997.

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Serkov, Filipp Nikolaevich. Korkovoe tormozhenie. Kiev: Nauk. dumka, 1986.

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Trott, Maryann Colby. SenseAbilities: Understanding sensory integration. Tucson, Ariz: Therapy Skill Builders, 1993.

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Eileen, Richter, ed. Sensorimotor integration for developmentally disabled children: A handbook. 2nd ed. Los Angeles, Calif. (12031 Wilshire Blvd., Los Angeles 90025-1251): Western Psychological Services, 1991.

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G, Bouwhuis Don, and Bielefeld Conference on "Sensorimotor Interactions in Space Perception and Action" (1985 : University of Bielefeld), eds. Sensorimotor interactions in space perception and action. Amsterdam: North Holland, 1987.

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Knott, Alistair. Sensorimotor cognition and natural language syntax. Cambridge, MA: The MIT Press, 2012.

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J, Glencross Denis, Piek Jan P, and Motor Control & Human Skill Research Workshop (2nd : 1993 : Mandurah, W.A.), eds. Motor control and sensory motor integration: Issues and directions. Amsterdam: Elsevier, 1995.

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Book chapters on the topic "Sensorimotor integration"

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Wasaka, Toshiaki, and Ryusuke Kakigi. "Sensorimotor Integration." In Magnetoencephalography, 727–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-33045-2_34.

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Engbert, Ralf. "Sensorimotor Integration." In Dynamical Models In Neurocognitive Psychology, 53–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-67299-7_4.

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Torras, Carme. "Sensorimotor Integration in Robots." In Visuomotor Coordination, 673–89. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-0897-1_23.

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De Long, M. R., and G. E. Alexander. "The Basal Ganglia and Sensorimotor Integration." In Advances in Applied Neurological Sciences, 203–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71540-2_23.

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Groh, Alexander, and Patrik Krieger. "Introduction." In Sensorimotor Integration in the Whisker System, 1–4. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_1.

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Prescott, Tony J., Ben Mitchinson, Nathan F. Lepora, Stuart P. Wilson, Sean R. Anderson, John Porrill, Paul Dean, et al. "The Robot Vibrissal System: Understanding Mammalian Sensorimotor Co-ordination Through Biomimetics." In Sensorimotor Integration in the Whisker System, 213–40. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_10.

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Schubert, Dirk, Nael Nadif Kasri, Tansu Celikel, and Judith Homberg. "Impact of Monoaminergic Neuromodulators on the Development of Sensorimotor Circuits." In Sensorimotor Integration in the Whisker System, 243–73. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_11.

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Catania, Kenneth C., and Elizabeth H. Catania. "Comparative Studies of Somatosensory Systems and Active Sensing." In Sensorimotor Integration in the Whisker System, 7–28. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_2.

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Castro-Alamancos, Manuel A. "The Whisker Thalamus." In Sensorimotor Integration in the Whisker System, 31–58. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_3.

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Radnikow, Gabriele, Guanxiao Qi, and Dirk Feldmeyer. "Synaptic Microcircuits in the Barrel Cortex." In Sensorimotor Integration in the Whisker System, 59–108. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2975-7_4.

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Conference papers on the topic "Sensorimotor integration"

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Udoratina, Anna, Nikita Grigorev, Andrey Savosenkov, Denis Ermolaev, Vladimir Maksimenko, and Susanna Gordleeva. "Functional TMS Mapping During Sensorimotor Integration Task." In 2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN). IEEE, 2023. http://dx.doi.org/10.1109/cnn59923.2023.10275302.

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Hemion, Nikolas J., Frank Joublin, and Katharina J. Rohlfing. "Integration of sensorimotor mappings by making use of redundancies." In 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane). IEEE, 2012. http://dx.doi.org/10.1109/ijcnn.2012.6252487.

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Hebert, Karen, Vikram Dayalu, Caryn Grabowski, and Sona Patel. "Cognitive involvement during sensorimotor integration for speech: Early evidence." In 181st Meeting of the Acoustical Society of America. ASA, 2021. http://dx.doi.org/10.1121/2.0001552.

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Greenlee, Jeremy, Roozbeh Behroozmand, Charles R. Larson, Nandakumar Narayanan, Johnathan Kingyon, Hiroyuki Oya, Hiroto Kawasaki, and Matthew Howard III. "Sensorimotor integration during human self-vocalization: Insights from invasive electrophysiology." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4799847.

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Beall, Tanya, and Thomas C. Henderson. "A sensorimotor approach to concept formation using neural networks." In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, 2016. http://dx.doi.org/10.1109/mfi.2016.7849489.

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Bazanova, Olga, Anastasia Kovaleva, Tatiana Petrenko, and Anna Gorbacheva. "SENSORIMOTOR INTEGRATION TRAINING DEVELOPMENT FOR OPTIMIZATION OF FUNCTIONAL STATE IN ADULTS." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2047.sudak.ns2021-17/71-72.

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Gillespie, R. B., J. L. Contreras-Vidal, P. A. Shewokis, M. K. O'Malley, J. D. Brown, H. Agashe, R. Gentili, and A. Davis. "Toward improved sensorimotor integration and learning using upper-limb prosthetic devices." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626206.

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Jang, Sang-hun, and Onseok Lee. "Effect of Sensorimotor Integration Exercise on Balance Among Patients with Stroke." In The 2nd World Congress on New Technologies. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icbb16.111.

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Harnad, S. "Grounding symbols in sensorimotor categories with neural networks." In IEE Colloquium on `Grounding Representations: Integration of Sensory Information in Natural Language Processing, Artificial Intelligence and Neural Networks'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950666.

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Jabri, Marwan A., Jerry Huang, Olivier J. D. Coenen, and Terrence J. Sejnowski. "Models of basal ganglia and cerebellum for sensorimotor integration and predictive control." In Intelligent Systems and Smart Manufacturing, edited by Gerard T. McKee and Paul S. Schenker. SPIE, 2000. http://dx.doi.org/10.1117/12.403711.

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