Academic literature on the topic 'Interface neuronale'

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Journal articles on the topic "Interface neuronale"

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Goto, Toichiro, Nahoko Kasai, Rick Lu, Roxana Filip, and Koji Sumitomo. "Scanning Electron Microscopy Observation of Interface Between Single Neurons and Conductive Surfaces." Journal of Nanoscience and Nanotechnology 16, no. 4 (2016): 3383–87. http://dx.doi.org/10.1166/jnn.2016.12311.

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Interfaces between single neurons and conductive substrates were investigated using focused ion beam (FIB) milling and subsequent scanning electron microscopy (SEM) observation. The interfaces play an important role in controlling neuronal growth when we fabricate neuron-nanostructure integrated devices. Cross sectional images of cultivated neurons obtained with an FIB/SEM dual system show the clear affinity of the neurons for the substrates. Very few neurons attached themselves to indium tin oxide (ITO) and this repulsion yielded a wide interspace at the neuron-ITO interface. A neuron-gold in
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Wang, Xinyuan. "Intracortical Brain-machine Interface for Restoring Sensory Motor Function: Progress and Challenges." International Journal of Biology and Life Sciences 3, no. 2 (2023): 31–38. http://dx.doi.org/10.54097/ijbls.v3i2.10514.

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Limb loss or paralysis due to spinal cord injury has a devastating impact on quality of life. One way to restore the sensory and motor abilities lost by amputees and quadriplegics is to provide them with implants that interface directly with the central nervous system. Such Brain-machine interfaces could enable patients to exert active control over the electrical contractions of prosthetic limbs or paralysed muscles. The parallel interface can transmit sensory information about these motor outcomes back to the patient. Recent developments in algorithms for decoding motor intention from neurona
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Cho, Wonkyung, Min-Ah Oh, Sun-heui Yoon, Chang Il Shin, Minji Jung, and Taek Dong Chung. "(Keynote) Biologically Targeted Janus Synapse between Ultramicroelectrode and Primary Neuron." ECS Meeting Abstracts MA2024-02, no. 54 (2024): 3677. https://doi.org/10.1149/ma2024-02543677mtgabs.

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Seamless neural interfaces conjoining neurons and electrochemical devices hold great potential for highly efficient signal transmission across neuronal systems and the external world. Signal transmission through chemical sensing and stimulation via electrochemistry is remarkable because communication occurs through the same chemical language of neurons. One promising approach is a synaptogenesis-involving method, which offers an opportunity for synaptic signaling between these systems. Janus synapses, one type of synaptic interface utilizing synaptic cell adhesion molecules for biotic-abiotic
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Bernardin, Evans, Christopher L. Frewin, Abhishek Dey, et al. "Development of an all-SiC neuronal interface device." MRS Advances 1, no. 55 (2016): 3679–84. http://dx.doi.org/10.1557/adv.2016.360.

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ABSTRACTThe intracortical neural interface (INI) is a key component of brain machine interfaces (BMI) which offer the possibility to restore functions lost by patients due to severe trauma to the central or peripheral nervous system. Unfortunately today’s neural electrodes suffer from a variety of design flaws, mainly the use of non-biocompatible materials based on Si or W with polymer coatings to mask the underlying material. Silicon carbide (SiC) is a semiconductor that has been proven to be highly biocompatible, and this chemically inert, physically robust material system may provide the lo
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Sahni, Deshdeepak, Andrew Jea, Javier A. Mata, et al. "Biocompatibility of pristine graphene for neuronal interface." Journal of Neurosurgery: Pediatrics 11, no. 5 (2013): 575–83. http://dx.doi.org/10.3171/2013.1.peds12374.

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Object Graphene possesses unique electrical, physical, and chemical properties that may offer significant potential as a bioscaffold for neuronal regeneration after spinal cord injury. The purpose of this investigation was to establish the in vitro biocompatibility of pristine graphene for interface with primary rat cortical neurons. Methods Graphene films were prepared by chemical vapor deposition on a copper foil catalytic substrate and subsequent apposition on bare Permanox plastic polymer dishes. Rat neuronal cell culture was grown on graphene-coated surfaces, and cell growth and attachmen
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Cao, Jiong, Jenni I. Viholainen, Caroline Dart, Helen K. Warwick, Mark L. Leyland, and Michael J. Courtney. "The PSD95–nNOS interface." Journal of Cell Biology 168, no. 1 (2005): 117–26. http://dx.doi.org/10.1083/jcb.200407024.

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The stress-activated protein kinase p38 and nitric oxide (NO) are proposed downstream effectors of excitotoxic cell death. Although the postsynaptic density protein PSD95 can recruit the calcium-dependent neuronal NO synthase (nNOS) to the mouth of the calcium-permeable NMDA receptor, and depletion of PSD95 inhibits excitotoxicity, the possibility that selective uncoupling of nNOS from PSD95 might be neuroprotective is unexplored. The relationship between excitotoxic stress–generated NO and activation of p38, and the significance of the PSD95–nNOS interaction to p38 activation also remain uncl
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Macías Macías, José Manuel, Juan Alberto Ramírez Quintana, José Salvador Antonio Méndez Aguirre, Mario Ignacio Chacón Murguía, and Alma Delia Corral Sáenz. "Procesamiento embebido de p300 basado en red neuronal convolucional para interfaz cerebro-computadora ubicua." RECIBE, Revista ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 9, no. 2 (2021): B1—B24. http://dx.doi.org/10.32870/recibe.v9i2.153.

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Se propone un método de bajo costo computacional para detectar el potencial evocado P300 en aplicaciones ubicuas de comunicación y control, el cual se denomina Procesamiento Embebido P300 (EP-300). La entrada de EP-300 es una señal electroencefalografía (EEG) de un canal y la arquitectura de este método se basa en los algoritmos que utilizan redes neuronales convolucionales. Para implementar el método EP-300, también se presenta una interfaz cerebro-computadora embebida que utiliza cuatro estímulos para evocar el P300 y tiene conectividad con una red de Internet de las cosas. Con esta interfaz
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Liang, Elaine, Jiuyun Shi, and Bozhi Tian. "Freestanding nanomaterials for subcellular neuronal interfaces." iScience 25, no. 1 (2022): 103534. http://dx.doi.org/10.1016/j.isci.2021.103534.

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Keskinbora, Kadircan H., and Kader Keskinbora. "Ethical considerations on novel neuronal interfaces." Neurological Sciences 39, no. 4 (2017): 607–13. http://dx.doi.org/10.1007/s10072-017-3209-x.

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Pronker, Matti F., Roderick P. Tas, Hedwich C. Vlieg, and Bert J. C. Janssen. "Nogo Receptor crystal structures with a native disulfide pattern suggest a novel mode of self-interaction." Acta Crystallographica Section D Structural Biology 73, no. 11 (2017): 860–76. http://dx.doi.org/10.1107/s2059798317013791.

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The Nogo Receptor (NgR) is a glycophosphatidylinositol-anchored cell-surface protein and is a receptor for three myelin-associated inhibitors of regeneration: myelin-associated glycoprotein, Nogo66 and oligodendrocyte myelin glycoprotein. In combination with different co-receptors, NgR mediates signalling that reduces neuronal plasticity. The available structures of the NgR ligand-binding leucine-rich repeat (LRR) domain have an artificial disulfide pattern owing to truncated C-terminal construct boundaries. NgR has previously been shown to self-associateviaits LRR domain, but the structural b
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Dissertations / Theses on the topic "Interface neuronale"

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Dillen, Arnau. "Interface neuronale directe pour applications réelles." Electronic Thesis or Diss., CY Cergy Paris Université, 2024. http://www.theses.fr/2024CYUN1295.

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Depuis la création de l'ordinateur, la conception d'interfaces utilisateur intuitives est cruciale pour la facilité d'utilisation, influencée par l'environnement de déploiement et les utilisateurs cibles. Les interfaces cerveau-ordinateur (BCI) permettent de contrôler des appareils par des signaux neuronaux, promettant une meilleure interaction pour les personnes paralysées. Ce projet propose un logiciel de démonstration pour contrôler un bras robotisé à l'aide d'une BCI. Le système décode les intentions de l'utilisateur à partir des signaux EEG pour exécuter des commandes.Les objectifs scient
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Besserve, Michel. "Analyse de la dynamique neuronale pour les Interfaces Cerveau-Machines : un retour aux sources." Phd thesis, Université Paris Sud - Paris XI, 2007. http://tel.archives-ouvertes.fr/tel-00559128.

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Les Interfaces Cerveau-Machine sont des dispositifs permettant d'instaurer un canal de communication entre le cerveau humain et le monde extérieur sans utiliser les voies usuelles nerveuses et musculaires. Le développement de tels systèmes se situe à l'interface entre le traitement du signal, l'apprentissage statistique et la neurophysiologie. Dans cette thèse, nous avons réalisé et étudié un dispositif d'Interface Cerveau-Machine non invasif asynchrone, c'est-à-dire capable d'identifier des actions mentales associées à des tâches motrices ou cognitives imaginées sans synchronisation sur un év
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Bedez, Mathieu. "Modélisation multi-échelles et calculs parallèles appliqués à la simulation de l'activité neuronale." Thesis, Mulhouse, 2015. http://www.theses.fr/2015MULH9738/document.

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Les neurosciences computationnelles ont permis de développer des outils mathématiques et informatiques permettant la création, puis la simulation de modèles représentant le comportement de certaines composantes de notre cerveau à l’échelle cellulaire. Ces derniers sont utiles dans la compréhension des interactions physiques et biochimiques entre les différents neurones, au lieu d’une reproduction fidèle des différentes fonctions cognitives comme dans les travaux sur l’intelligence artificielle. La construction de modèles décrivant le cerveau dans sa globalité, en utilisant une homogénéisation
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Corlier-Bagdasaryan, Juliana. "Voluntary control of neural oscillations in the human brain." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066626/document.

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Introduction. Les animaux et les humains sont capables de moduler leur propre activité cérébrale, pourvu que leur soit donné un retour sensoriel en temps-réel de celle-ci. La gamme des activités contrôlables s’étend des rythmes oscillatoires, à la réponse hémodynamique , au taux de décharge des neurones ou même au signal calcique associé aux potentiels d’action. Le contrôle volontaire des activités neuronales, facilité par le plan expérimental d’un paradigme en boucle fermée, est au cœur de l’interaction corps-esprit et peut être utilisé pour adresser des questions philosophiques. Mais comme d
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Mora, Sánchez Aldo. "Cognitive brain-computer interfaces : From feature engineering to neurophenomenological validation." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS217.

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Cette thèse vise à décrire la conception, la mise en œuvre et la validation des interfaces cerveau-machine cognitives (ICMc). Le chapitre 1 introduit les ICMc et la métastabilité cérébrale. Dans le chapitre 2, une fonction cognitive spécifique (la mémoire de travail) est sélectionnée pour construire une ICMc. Dans le chapitre 3, nous explorons l'utilisation des propriétés spatio-temporelles de la dynamique cérébrale pour construire des biomarqueurs pour les ICMc, et nous abordons des questions scientifiques concernant la métastabilité cérébrale induite par la cognition. L’ICMc décrite au chapi
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Bonaccini, Calia Andrea. "Graphene field-effect transistors as flexible neural interfaces for intracortical electrophysiology." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671635.

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En els últims anys s’han produït desenvolupaments tecnològics innovadors en el camp dels implants neuronals per a aplicacions mèdiques. La comprensió de el cervell humà es considera com un dels majors reptes científics del nostre temps; com a conseqüència, estem sent testimonis d’una intensificació de la investigació en el desenvolupament de les interfícies cervell-màquina (IMC) per llegir i estimular l’activitat cerebral. No obstant això, els implants neuronals actualment disponibles ofereixen una eficàcia clínica modesta, en part a causa de les limitacions que plantegen la invasivitat dels m
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Brenner, Markus Simon. "Interface zwischen 2000-Transistoren-Chip und neuronaler Zellkultur." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=962125865.

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Mayne, Andrew Humphrey. "The development of a silicon based neuronal interface." Thesis, De Montfort University, 2002. http://hdl.handle.net/2086/13264.

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Schoonjans, Nathan. "Établissement d'une boucle de communication bidirectionnelle entre des neurones vivants et des neurones artificiels analogiques pour la conception de neurobiohybrides de nouvelle génération." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDENGSYS/2023/2023ULILN056.pdf.

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Les neurobiohybrides sont des systèmes composés d'un élément artificiel, d'une composante vivante et de l'interface qui les relie. Ces puissants outils permettent de connecter de manière fonctionnelle des éléments électroniques et des structures neuronales in vitro comme in vivo. De nombreux systèmes neurobiohybrides, plus communément appelés neuroprothèses, sont utilisés en médecine pour améliorer la qualité de vie de patients atteints de handicaps (surdité, déficits visuels, paralysie) en leur permettant de recouvrer partiellement les fonctions physiologiques perdues. Les neuroprothèses actu
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Béhuret, Sébastien. "EXPLORATION PAR DES INTERFACES HYBRIDES DU CODE NEURONAL ET DES MÉCANISMES DE RÉGULATION DE L'INFORMATION SENSORIELLE DANS LE SYSTÈME VISUEL." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00714145.

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L'identification du codage neuronal dans le thalamus et le cortex cérébral, et en particulier dans l'aire visuelle primaire, se heurte à la complexité du réseau neuronal qui repose sur une diversité étonnante des neurones, sur les plans morphologique, biochimique et électrique, et de leurs connexions synaptiques. À cela s'ajoute une importante diversité des propriétés fonctionnelles de ces neurones reflétant en grande partie la forte récurrence des connexions synaptiques au sein des réseaux corticaux ainsi que la boucle cortico-thalamo-corticale. En d'autres termes, le calcul global effectué d
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Books on the topic "Interface neuronale"

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Mayne, Andrew Humphrey. The development of a silicon based neuronal interface. De Montfort University, 2002.

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José, Hanson Stephen, and Olson Carl R, eds. Connectionist modeling and brain function: The developing interface. MIT Press, 1990.

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International Conference on Glial Interfaces (2nd 2001 Uppsala, Sweden). Glial interfaces in the nervous system: Role in repair and plasticity. IOS Press, 2002.

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Vassanelli, Stefano. Implantable neural interfaces. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0050.

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Establishing direct communication with the brain through physical interfaces is a fundamental strategy to investigate brain function. Starting with the patch-clamp technique in the seventies, neuroscience has moved from detailed characterization of ionic channels to the analysis of single neurons and, more recently, microcircuits in brain neuronal networks. Development of new biohybrid probes with electrodes for recording and stimulating neurons in the living animal is a natural consequence of this trend. The recent introduction of optogenetic stimulation and advanced high-resolution large-sca
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(Editor), Stephen J. Hanson, and Carl R. Olson (Editor), eds. Connectionist Modeling and Brain Function: A Developing Interface (Bradford Books). The MIT Press, 1990.

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Zilliox, Lindsay, and James W. Russell. Diabetic and Prediabetic Neuropathy. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0115.

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Impaired glucose regulation (IGR) constitutes a spectrum of impaired glucose and metabolic regulation that can result in neuropathy. Several different pathways of injury in the diabetic peripheral nervous system that include metabolic dysregulation induced by metabolic syndrome induce oxidative stress, failure of nitric oxide regulation, and dysfunction of certain key signaling pathways. Oxidative stress can directly injure both dorsal route ganglion neurons and axons. Modulation of the nitric oxide system may have detrimental effects on endothelial function and neuronal survival. Reactive oxi
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(Editor), Hakan Aldskogius, ed. Glial Interfaces in the Nervous System: Role in Repair and Plasticity (Biomedical and Health Research, 47). Ios Pr Inc, 2002.

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Book chapters on the topic "Interface neuronale"

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Sanchez, Justin C., and José C. Principe. "Foundations of Neuronal Representations." In Brain-Machine Interface Engineering. Springer International Publishing, 2007. http://dx.doi.org/10.1007/978-3-031-01621-9_2.

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Mercier, Frederic. "Astroglia as a modulation interface between meninges and neurons." In Glial ⇔ Neuronal Signaling. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4020-7937-5_5.

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Huang, Jiaqi V., and Holger G. Krapp. "Neuronal Distance Estimation by a Fly-Robot Interface." In Biomimetic and Biohybrid Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63537-8_18.

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Warwick, Kevin. "A Tour of Some Brain/Neuronal–Computer Interfaces." In The International Library of Ethics, Law and Technology. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8996-7_12.

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Wörner, M., H. Rau, W. Probst, and H. Rahmann. "Stablility of Ganglioside Monolayers at a Liquid/Liquid Interface. A polarographic study of the Ca2+-effect." In Gangliosides and Modulation of Neuronal Functions. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71932-5_15.

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Eppler, Jochen M., Hans E. Plesser, Abigail Morrison, Markus Diesmann, and Marc-Oliver Gewaltig. "Multithreaded and Distributed Simulation of Large Biological Neuronal Networks." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75416-9_55.

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Rand, David, and Yael Hanein. "Carbon Nanotubes for Neuron–Electrode Interface with Improved Mechanical Performance." In Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-8038-0_1.

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Sánchez-Morales, Laura N., Giner Alor-Hernández, Rosebet Miranda-Luna, Viviana Y. Rosales-Morales, and Cesar A. Cortes-Camarillo. "Generation of User Interfaces for Mobile Applications Using Neuronal Networks." In Management and Industrial Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56871-3_11.

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Baun, Susanne. "Verteilungsprognosen im Rahmen der Interface-Modellierung zwischen Entwicklung und Einsatz neuronaler Modelle." In Verteilungsprognose für den Deutschen Aktienindex. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-09110-3_6.

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Biesemeier, Antje, Birgit Schröppel, Wilfried Nisch, and Claus J. Burkhardt. "FIBSEM Analysis of Interfaces Between Hard Technical Devices and Soft Neuronal Tissue." In Volume Microscopy. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0691-9_11.

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Conference papers on the topic "Interface neuronale"

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Wang, Han, Udo Römer, Xinyue Lei, et al. "Towards bi-directional electro-optic neuronal interfaces." In Biophotonics Australasia 2019, edited by Ewa M. Goldys and Brant C. Gibson. SPIE, 2019. http://dx.doi.org/10.1117/12.2539997.

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Jeong, Gaeun, June Sic Kim, Seokyun Ryun, and Chun Kee Chung. "Interference in tactile discrmination performance by neuronal modulation." In 2019 7th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2019. http://dx.doi.org/10.1109/iww-bci.2019.8737347.

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Morehead, Michael, Quinn Jones, Jared Blatt, et al. "Poster: BrainTrek - An immersive environment for investigating neuronal tissue." In 2014 IEEE Symposium on 3D User Interfaces (3DUI). IEEE, 2014. http://dx.doi.org/10.1109/3dui.2014.6798868.

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Kawana, A., and Y. Jimbo. "Neurointerface-interfaces of neuronal networks to electrical circuit." In Technical Digest. IEEE International MEMS 99 Conference. Twelfth IEEE International Conference on Micro Electro Mechanical Systems (Cat. No.99CH36291). IEEE, 1999. http://dx.doi.org/10.1109/memsys.1999.746744.

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Nag, S., and D. Sharma. "Wirelessly powered stimulator and recorder for neuronal interfaces." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091358.

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Mahmoudi, Babak, Jack DiGiovanna, Jose C. Principe, and Justin C. Sanchez. "Neuronal tuning in a brain-machine interface during Reinforcement Learning." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650210.

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DiGiovanna, Jack, Babak Mahmoudi, Jose Principe, and Justin Sanchez. "Quantifying neuronal importance in value-based Brain-Machine Interfaces." In 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2009. http://dx.doi.org/10.1109/ner.2009.5109294.

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Lanzani, Guglielmo. "Opto-neuronal Interfaces and the Perspective Toward Artificial Retina." In International Conference on Fibre Optics and Photonics. OSA, 2012. http://dx.doi.org/10.1364/photonics.2012.w3a.2.

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Teller, S., and J. Soriano. "Experiments on clustered neuronal networks." In PHYSICS, COMPUTATION, AND THE MIND - ADVANCES AND CHALLENGES AT INTERFACES: Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. AIP, 2013. http://dx.doi.org/10.1063/1.4776529.

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Roth, Daniel, Larrissa Brübach, Franziska Westermeier, Christian Schell, Tobias Feigl, and Marc Erich Latoschik. "A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data." In SUI '19: Symposium on Spatial User Interaction. ACM, 2019. http://dx.doi.org/10.1145/3357251.3360018.

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Reports on the topic "Interface neuronale"

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Shea, Thomas B. Optimization of Neuronal-Computer Interface. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada515409.

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