Academic literature on the topic 'Extracellular recording'
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Journal articles on the topic "Extracellular recording"
Du, Jiangang, Ingmar H. Riedel-Kruse, Janna C. Nawroth, Michael L. Roukes, Gilles Laurent, and Sotiris C. Masmanidis. "High-Resolution Three-Dimensional Extracellular Recording of Neuronal Activity With Microfabricated Electrode Arrays." Journal of Neurophysiology 101, no. 3 (March 2009): 1671–78. http://dx.doi.org/10.1152/jn.90992.2008.
Full textAllen, Brian D., Caroline Moore-Kochlacs, Jacob G. Bernstein, Justin P. Kinney, Jorg Scholvin, Luís F. Seoane, Chris Chronopoulos, et al. "Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability." Journal of Neurophysiology 120, no. 5 (November 1, 2018): 2182–200. http://dx.doi.org/10.1152/jn.00650.2017.
Full textPiironen, Arto, Matti Weckström, and Mikko Vähäsöyrinki. "Ultrasmall and customizable multichannel electrodes for extracellular recordings." Journal of Neurophysiology 105, no. 3 (March 2011): 1416–21. http://dx.doi.org/10.1152/jn.00790.2010.
Full textHuizinga, Jan D. "The powerful advantages of extracellular electrical recording." Nature Reviews Gastroenterology & Hepatology 14, no. 6 (March 30, 2017): 372. http://dx.doi.org/10.1038/nrgastro.2017.16.
Full textHai, Aviad, Joseph Shappir, and Micha E. Spira. "Long-Term, Multisite, Parallel, In-Cell Recording and Stimulation by an Array of Extracellular Microelectrodes." Journal of Neurophysiology 104, no. 1 (July 2010): 559–68. http://dx.doi.org/10.1152/jn.00265.2010.
Full textCohen, M. L., R. H. Hoyt, J. E. Saffitz, and P. B. Corr. "A high density in vitro extracellular electrode array: description and implementation." American Journal of Physiology-Heart and Circulatory Physiology 257, no. 2 (August 1, 1989): H681—H689. http://dx.doi.org/10.1152/ajpheart.1989.257.2.h681.
Full textLiu, Xinyu, Hong Wan, and Li Shi. "Quality Metrics of Spike Sorting Using Neighborhood Components Analysis." Open Biomedical Engineering Journal 8, no. 1 (September 17, 2014): 60–67. http://dx.doi.org/10.2174/1874120701408010060.
Full textCamuñas-Mesa, Luis A., and Rodrigo Quian Quiroga. "A Detailed and Fast Model of Extracellular Recordings." Neural Computation 25, no. 5 (May 2013): 1191–212. http://dx.doi.org/10.1162/neco_a_00433.
Full textIoffe, S., A. H. Jansen, and V. Chernick. "Technique for repetitive recording from fetal respiratory neurons." Journal of Applied Physiology 80, no. 3 (March 1, 1996): 1057–60. http://dx.doi.org/10.1152/jappl.1996.80.3.1057.
Full textTokuno, Hironobu, Yoko Ikeuchi, Atsushi Nambu, Toshikazu Akazawa, Michiko Imanishi, Ikuma Hamada, and Naomi Hasegawa. "A modified microsyringe for extracellular recording of neuronal activity." Neuroscience Research 31, no. 3 (July 1998): 251–55. http://dx.doi.org/10.1016/s0168-0102(98)00041-8.
Full textDissertations / Theses on the topic "Extracellular recording"
Blum, Richard Alan. "An Electronic System for Extracellular Neural Stimulation and Recording." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16192.
Full textBernstein, Jacob (Jacob Gold). "Development of extracellular electrophysiology methods for scalable neural recording." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107581.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
In order to map the dynamics of neural circuits in mammalian brains, there is a need for tools that can record activity over large volumes of tissue and correctly attribute the recorded signals to the individual neurons that generated them. High-resolution neural activity maps will be critical for the discovery of new principles of neural coding and neural computation, and to test computational models of neural circuits. Extracellular electrophysiology is a neural recording method that has been developed to record from large populations of neurons, but well-known problems with signal attribution pose an existential threat to the viability of further system scaling, as analyses of network function become more sensitive to errors in attribution. A key insight is that blind-source separation algorithms such as Independent Component Analysis may ameliorate problems with signal attribution. These algorithms require recording signals at much finer spatial resolutions than existing probes have accomplished, which places demands on recording system bandwidth. We present several advances to technologies in neural recording systems, and a complete neural recording system designed to investigate the challenges of scaling electrophysiology to whole brain recording. We have developed close-packed microelectrode arrays with the highest density of recording sites yet achieved, for which we built our own data acquisition hardware, developed with a computational architecture specifically designed to scale to over several orders of magnitude. We also present results from validation experiments using colocalized patch clamp recording to obtain ground-truth activity data. This dataset provides immediate insight into the nature of electrophysiological signals and the interpretation of data collected from any electrophysiology recording system. This data is also essential in order to optimize probe development and data analysis algorithms which will one day enable whole-brain activity mapping.
by Jacob G. Bernstein.
Ph. D.
Sayed, Herbawi Abdalrahman [Verfasser], and Oliver [Akademischer Betreuer] Paul. "High-density CMOS probes for large-scale extracellular neural recording." Freiburg : Universität, 2020. http://d-nb.info/1226657265/34.
Full textKuykendal, Michelle Lea. "Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52303.
Full textCzeschik, Anna [Verfasser], Bernhard [Akademischer Betreuer] Wolfrum, and Jörg [Akademischer Betreuer] Fitter. "Nanocavity arrays for extracellular recording and stimulation of electroactive cell systems / Anna Czeschik ; Bernhard Wolfrum, Jörg Fitter." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/1130151530/34.
Full textPatel, Manoj Kumar. "An investigation into electrophysiological changes associated with myocardial ischaemia and reperfusion using extracellular and intracellular recording techniques." Thesis, Coventry University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308953.
Full textSörensen, Sören Per. "Development of a cell-based drug screening platform : extracellular recording and electrochemical impedance spectroscopy on microelectrode array chips." Thesis, University of Bath, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486476.
Full textBradley, Peter Mark James. "A Novel Fibre-Optic Probe for Simultaneous Extracellular Electrical and Intracellular Fluorescence Recording in Neurones In Situ and In Vito." Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503894.
Full textSteidl, Esther. "Mise au point d’une plateforme de tests in vitro pour l’évaluation du potentiel proconvulsivant de façon précoce au cours du développement de médicaments." Thesis, Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0050.
Full textThe goal of the present work was to develop a platform of tests that could predict the proconvulsive potential of compounds in development as early as possible during preclinical phases. These tests were carried out in vitro from hippocampal slices recorded with multi-electrode arrays (MEAs). The MEA technology is particularly adapted because it allows to investigate compounds’ effect on a wide area of a native neural network, including all the complexity and organization of the different cell types. In addition, rapidity and low compound consumption of the MEA-based assays make them suitable for early stages of development.First, the evaluation of reference proconvulsive/seizurogenic compounds allowed to determine the parameters that should be monitored to detect proconvulsive properties. It appeared that reference compounds triggered one or several of the following effects: increase of the population spikes area and repetition of spikes, triggering of epileptiform discharges and/or increase of the CA1 neurons firing. The experimental conditions of the assays were then modified to increase their sensitivity and thus detect even weak proconvulsive compounds. This platform of 3 complementary assays was termed NS-PC set.15 compounds, including positive and negative controls, were provided by partner pharmaceutical companies to be tested under blind conditions on NS-PC set. A new faster and cheaper assay, termed NS-PC screen, was also designed based on the recording of 4-aminopyridine-induced epileptiform discharges in hippocampal slices
Krüger, Hagen. "Elektrophysiologische Untersuchungen zu Einflüssen von ionotropen Glutamatantagonisten sowie 5-HT1A-Agonisten auf die Kaliumchlorid-induzierte "spreading depression" im neokortikalen Hirnschnittpräparat der adulten Ratte." Doctoral thesis, Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité, 2000. http://dx.doi.org/10.18452/14462.
Full textRepetitive cortical spreading depression (SD) and SD-like events, associated with a massive de-polarization of neuronal and glial cells, is thought to play a key role in the induction of neuronal damage in the peri-infarct zone following experimental focal cerebral ischemia. In addition, ex-perimental and clinical data suggest that SD is the underlying mechanism of neurological distur-bances during migraine auras as well. However, detailed analyses on the consequences of repeti-tive SDs on cortical function and involved receptors are lacking. Using an in vitro rat model of SD I investigated in this thesis the electrophysiological properties of repetitive potassium chloride (KCl)-induced SDs, their influence on synaptic neurotransmis-sion and the effects of ionotropic glutamate antagonists and 5-HT1A agonists in neocortical slices obtained from adult rats. Whereas repetitive SDs revealed only non-significant variations in du-ration, amplitude and integral when elicited at intervals of 30 min, paired-pulse inhibition of ex-tracellularly recorded field potential responses was significantly affected by repetitive SD even under normoxic conditions. Compared to the control recordings, each SD episode caused a sig-nificant decrease in the efficacy of intracortical GABAergic inhibition by approximately 10%. Since excitatory synaptic transmission was unaffected, these data indicate that repetitive SDs cause a selective suppression of GABAergic function even in the non-ischemic brain. None of the compounds tested prevented the SD-induced cortical disinhibition. However, the SD-associated negative shift in the extracellular DC potential was reduced by ketamine, a selective N-methyl-D-aspartic acid (NMDA-) receptor antagonist. Ketamine significantly (p < 0.01) re-duced the amplitude of the first SD peak and blocked the second SD peak. Ketamine also de-creased the SD duration at half maximal amplitude (p < 0.05). NBQX, a selective a-amino-3- hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor antagonist did not affect the SD-accompanied cortical depolarization, whereas selective 5-hydroxytryptamine (5-HT)1A receptor agonists 8-OH-DPAT and BAY x 3702 shortened concentration-dependently the duration of the SD up to 50 %. Nevertheless, both 5-HT1A receptor agonists caused a strong disinhibition of neu-ronal function with a tendency towards paired-pulse facilitation as well. Thus, repetitive SD and SD-like events may induce neuronal hyperexcitability due to a selective suppression of intrinsic inhibitory GABAergic function. Under normoxic conditions, SD-induced disinhibition may be involved in the generation and maintenance of migraine or associated neurological disturbances. Under hypoxic-ischemic conditions, neuronal hyperexcitability may contribute to the gradual expansion of the ischemic core and the metabolic deterioration of the penumbral tissue after SD episodes. This underlines the deleterious effect of SD to the outcome of focal cerebral ischemia. Although the precise mecha-nisms of SD generation and propagation remains far from established, the present pharmacologi-cal profile of KCl-induced SD in vitro links the induction and propagation of SD in rat neocorti-cal slices mainly to a local increase of [K + ] e and a subsequent activation of NMDA- receptors. This corroborates the neuroprotective effect of a NMDA- receptor blockade observed in various in vitro and in vivo models. However, as it has been demonstrated in clinical trials, NMDA- re-ceptor antagonists in use today cause psychomimetic and cardiovascular side effects in humans and are therefore currently of low clinical benefit. The activation of 5-HT1A receptors by selective agonists represents a new pharmacological strategy in the treatment of acute ischemic stroke, since shortened SD waves may represent a less energy-consuming process under conditions of limited energy supply and are probably associated with an efflux of excitatory neurotransmitters to a lesser extent. The potential clinical benefit of 5-HT 1A receptor agonists remains to be investi-gated in clinical trials, since systemic administration of these compounds after the onset of acute focal cerebral ischemia might interfere with normal functions of glutamatergic neurotransmission in the intact, non-ischemic brain.
Books on the topic "Extracellular recording"
Sillitoe, Roy V., ed. Extracellular Recording Approaches. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7549-5.
Full textColeman, William L., and R. Michael Burger. Extracellular Single-Unit Recording and Neuropharmacological Methods. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0003.
Full textStegeman, Dick F., and Michel J. A. M. Van Putten. Recording of neural signals, neural activation, and signal processing. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0005.
Full textBook chapters on the topic "Extracellular recording"
Ellenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla, et al. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 522–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_290.
Full textWakerley, Jon. "Extracellular Recording." In Essential Guide to Reading Biomedical Papers, 261–69. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118402184.ch29.
Full textHarvey, Victoria L., and Anthony H. Dickenson. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27772-6_290-2.
Full textHarvey, Victoria L., and Anthony H. Dickenson. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 665–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36172-2_290.
Full textFranco, J. C., M. A. Portela, and H. Andrade-Caicedo. "Multichannel Planar Microelectrode Platform for Recording Extracellular Field Potentials." In VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016, 642–45. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4086-3_161.
Full textSokoloff, Greta, and Mark S. Blumberg. "Recording Extracellular Activity in the Developing Cerebellum of Behaving Rats." In Neuromethods, 225–47. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7549-5_12.
Full textPezaris, John S., Maneesh Sahani, and Richard Andersen. "Extracellular Recording from Multiple Neighboring Cells: Response Properties in Parietal Cortex." In Computational Neuroscience, 483–89. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4831-7_80.
Full textAsgarifar, Sanaz, Henrique L. Gomes, Ana Mestre, Pedro Inácio, J. Bragança, Jérôme Borme, George Machado, Fátima Cerqueira, and Pedro Alpuim. "Electrochemically Gated Graphene Field-Effect Transistor for Extracellular Cell Signal Recording." In Technological Innovation for Cyber-Physical Systems, 558–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31165-4_53.
Full textHeiney, Shane A., Shogo Ohmae, Olivia A. Kim, and Javier F. Medina. "Single-Unit Extracellular Recording from the Cerebellum During Eyeblink Conditioning in Head-Fixed Mice." In Neuromethods, 39–71. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7549-5_3.
Full textGraziane, Nicholas, and Yan Dong. "Extracellular Recordings." In Neuromethods, 249–57. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3274-0_22.
Full textConference papers on the topic "Extracellular recording"
Novak, D., J. Wild, T. Sieger, and R. Jech. "Identifying number of neurons in extracellular recording." In 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2009. http://dx.doi.org/10.1109/ner.2009.5109403.
Full textAnderson, Wise, and Najafi. "Micromachined Silicon Substrate Electrodes For Extracellular Recording." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.593825.
Full textAnderson, D. J., K. D. Wise, and K. Najafi. "Micromachined silicon substrate electrodes for extracellular recording." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761722.
Full textJoye, Neil, Alexandre Schmid, and Yusuf Leblebici. "Extracellular recording system based on amplitude modulation for CMOS microelectrode arrays." In 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2010. http://dx.doi.org/10.1109/biocas.2010.5709581.
Full textYin Zhou and Zhi Yang. "A robust EC-PC spike detection method for extracellular neural recording." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609756.
Full textMyers, F. B., O. J. Abilez, C. K. Zarins, and L. P. Lee. "Stimulation and artifact-free extracellular electrophysiological recording of cells in suspension." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091001.
Full textNiemiec, Martin J., and Martin Han. "A Simple Table-Top Technique for Multi-Signal Pseudo-Extracellular Recording." In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441208.
Full textDelgado-Restituto, Manuel, Alberto Rodriguez-Perez, Angela A. Darie, Angel Rodriguez-Vazquez, Cristina Soto-Sanchez, and Eduardo Fernandez-Jover. "In vivo measurements with a 64-channel extracellular neural recording integrated circuit." In 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2014. http://dx.doi.org/10.1109/icecs.2014.7050028.
Full textWu, Chunsheng, Liping Du, Zhen Qin, Keqiang Gao, and Ping Wang. "Dual extracellular recording using a light-addressable potentiometric sensor for taste signal transduction." In 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2017. http://dx.doi.org/10.1109/isoen.2017.7968920.
Full textShaik, Faruk A., Y. Ikeuchi, G. Cathcart, S. Ihida, H. Toshiyoshi, and A. Tixier-Mita. "Extracellular neural stimulation and recording with a Thin-Film-Transistor (TFT) array device." In 2017 19th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS). IEEE, 2017. http://dx.doi.org/10.1109/transducers.2017.7994024.
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