Academic literature on the topic 'In vivo electrophysiology recording'
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Journal articles on the topic "In vivo electrophysiology recording"
Nelson, Matthew J., Silvana Valtcheva, and Laurent Venance. "Magnitude and behavior of cross-talk effects in multichannel electrophysiology experiments." Journal of Neurophysiology 118, no. 1 (July 1, 2017): 574–94. http://dx.doi.org/10.1152/jn.00877.2016.
Full textMorizio, James, and Vinson Go. "Proceedings #30: Implantable Neural Recording and Stimulation Technologies for in vivo Electrophysiology." Brain Stimulation 12, no. 2 (March 2019): e96-e97. http://dx.doi.org/10.1016/j.brs.2018.12.199.
Full textNoguchi, Asako, Yuji Ikegaya, and Nobuyoshi Matsumoto. "In Vivo Whole-Cell Patch-Clamp Methods: Recent Technical Progress and Future Perspectives." Sensors 21, no. 4 (February 19, 2021): 1448. http://dx.doi.org/10.3390/s21041448.
Full textHong, Guosong, Tian-Ming Fu, Mu Qiao, Robert D. Viveros, Xiao Yang, Tao Zhou, Jung Min Lee, Hong-Gyu Park, Joshua R. Sanes, and Charles M. Lieber. "A method for single-neuron chronic recording from the retina in awake mice." Science 360, no. 6396 (June 28, 2018): 1447–51. http://dx.doi.org/10.1126/science.aas9160.
Full textFiáth, Richárd, Patrícia Beregszászi, Domonkos Horváth, Lucia Wittner, Arno A. A. Aarts, Patrick Ruther, Hercules P. Neves, Hajnalka Bokor, László Acsády, and István Ulbert. "Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe." Journal of Neurophysiology 116, no. 5 (November 1, 2016): 2312–30. http://dx.doi.org/10.1152/jn.00318.2016.
Full textHolst, Gregory L., William Stoy, Bo Yang, Ilya Kolb, Suhasa B. Kodandaramaiah, Lu Li, Ulf Knoblich, et al. "Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex." Journal of Neurophysiology 121, no. 6 (June 1, 2019): 2341–57. http://dx.doi.org/10.1152/jn.00738.2018.
Full textWei, Wen Jing, Yi Lin Song, Wen Tao Shi, Chun Xiu Liu, Ting Jun Jiang, and Xin Xia Cai. "A Novel Microelectrode Array Probe Integrated with Electrophysiology Reference Electrode for Neural Recording." Key Engineering Materials 562-565 (July 2013): 67–73. http://dx.doi.org/10.4028/www.scientific.net/kem.562-565.67.
Full textLee, Peter, Jorge G. Quintanilla, José M. Alfonso-Almazán, Carlos Galán-Arriola, Ping Yan, Javier Sánchez-González, Nicasio Pérez-Castellano, et al. "In vivo ratiometric optical mapping enables high-resolution cardiac electrophysiology in pig models." Cardiovascular Research 115, no. 11 (February 7, 2019): 1659–71. http://dx.doi.org/10.1093/cvr/cvz039.
Full textEckardt, Lars, Andreas Meißner, Paulus Kirchhof, Thomas Weber, Martin Borggrefe, Günter Breithardt, Hugo Van Aken, and Wilhelm Haverkamp. "In vivo recording of monophasic action potentials in awake dogs - new applications for experimental electrophysiology." Basic Research in Cardiology 96, no. 2 (March 1, 2001): 169–74. http://dx.doi.org/10.1007/s003950170067.
Full textJeon, Saeyeong, Youjin Lee, Daeho Ryu, Yoon Kyung Cho, Yena Lee, Sang Beom Jun, and Chang-Hyeon Ji. "Implantable Optrode Array for Optogenetic Modulation and Electrical Neural Recording." Micromachines 12, no. 6 (June 19, 2021): 725. http://dx.doi.org/10.3390/mi12060725.
Full textDissertations / Theses on the topic "In vivo electrophysiology recording"
Annecchino, Luca. "Development and validation of a robotic two-photon targeted whole-cell recording system for in vivo electrophysiology." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/56991.
Full textLau, Petrina Yau Pok. "Long-term plasticity of excitatory inputs onto identified hippocampal neurons in the anaesthetized rat." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:172e0d36-0d67-4932-962e-9ee08dcc366c.
Full textChaudun, Fabrice. "Involvement of dorsomedial prefrontal projections pathways to the basolateral amygdala and ventrolateral periaqueductal grey matter in conditioned fear expression." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0118/document.
Full textA central endeavour of modern neuroscience is to understand the neural basis of learningand how the selection of dedicated circuits modulates experience-dependent changes inbehaviour. Decades of research allowed a global understanding of the computations occurring inhard-wired networks during associative learning, in particular fear behaviour. However, brainfunctions are not only derived from hard-wired circuits, but also depend on modulation of circuitfunction. It is therefore realistic to consider that brain areas contain multiple potential circuitswhich selection is based on environmental context and internal state. Whereas the role of entirebrain areas such as the amygdala (AMG), the dorsal medial prefrontal cortex (dmPFC) or theperiaqueductal grey matter (PAG) in fear behaviour is reasonably well understood at themolecular and synaptic levels, there is a big gap in our knowledge of how fear behaviour iscontrolled at the level of defined circuits within these brain areas. More particularly, whereas thedmPFC densely project to both the basolateral amygdala (BLA) and PAG, the contributions ofthese two projections pathway during fear behaviour are largely unknown. Beside theinvolvement of these neuronal pathways in the transmission of fear related-information, theneuronal mechanisms involved in the encoding of fear behaviour within these pathways are alsovirtually unknown. In this context, the present thesis work had two main objectives. First,evaluate the contribution of the dmPFC-BLA and dmPFC-vlPAG pathways in the regulation offear behaviour, and second, identify the neuronal mechanisms controlling fear expression in thesecircuits. To achieve these goals, we used a combination of single unit and local field potentialrecordings coupled to optogenetic approaches in behaving animals submitted to a discriminativefear conditioning paradigm. Our results first, identified a novel neuronal mechanism of fear expression based on the development of 4 H oscillations within dmPFC-BLA circuits thatdetermine the dynamics of freezing behaviour and allows the long-range synchronization offiring activities to drive fear behaviour. Secondly, our results identified the precise circuitry at thelevel of the dmPFC and vlPAG that causally regulate fear behaviour. Together these data provideimportant insights into the neuronal circuits and mechanisms of fear behaviour. Ultimately thesefindings will eventually lead to a refinement of actual therapeutic strategies for pathological conditions such as anxiety disorders
Pye, Richard Laurence. "Measuring the Acute Physiological Effects of Leptin in the Carotid Body." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1449583350.
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.
Silpa, Nagari. "NANOSTRUCTURED SENSORS FOR IN-VIVO NEUROCHEMICAL RECORDING." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/487.
Full textNagari, Silpa. "Nano-structured sensors for in-vivo neurochemical recording." Lexington, Ky. : [University of Kentucky Libraries], 2007. http://hdl.handle.net/10225/735.
Full textTitle from document title page (viewed on March 24, 2008). Document formatted into pages; contains: ix, 55 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 53-54).
Dodds, Catherine Jane. "The action of naturally-occuring semiochemicals on feeding behaviour and neurophysiology of the field slug Deroceras reticulatum (Mueller)." Thesis, University of Portsmouth, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310443.
Full textHasegawa, Taku. "A wireless system with a motorized microdrive for neural recording in freely behaving animals." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199467.
Full textKodandaramaiah, Suhasa Bangalore. "Robotics for in vivo whole cell patch clamping." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/51932.
Full textBooks on the topic "In vivo electrophysiology recording"
Improved nerve signal recording: Methods and analogue circuits. Konstanz: Hartung-Gorre, 2005.
Find full text1988), Freiburg Focus on Biomeasurement (4th. Electrodes for stimulation and bioelectric potential recording: 4th Freisburg Focus on Biomeasurement, Februar [sic] 22nd and 23rd, 1988. March: Biomesstechnik-Verlag March GmbH, 1988.
Find full textFerster, David. Patch Clamp Recording in Vivo. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0002.
Full textTseng, Hua-an, Richie E. Kohman, and Xue Han. Optogenetics and Electrophysiology. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0009.
Full text(Editor), Koki Shimoji, and William D. Jr. Willis (Editor), eds. Evoked Spinal Cord Potentials: An illustrated Guide to Physiology, Pharmocology, and Recording Techniques. Springer, 2006.
Find full text1935-, Shimoji Kōki, and Willis William D. 1934-, eds. Evoked spinal cord potentials: An illustrated guide to physiology, pharmacology, and recording techniques. Tokoyo: Springer, 2006.
Find full text1935-, Shimoji Kōki, and Willis William D. 1934-, eds. Evoked spinal cord potentials: An illustrated guide to physiology, pharmacology, and recording techniques. Tokoyo: Springer, 2006.
Find full textCampagnola, Luke, and Paul Manis. Patch Clamp Recording in Brain Slices. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0001.
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 textBook chapters on the topic "In vivo electrophysiology recording"
Simonnet, Jean, Louis Richevaux, and Desdemona Fricker. "Single or Double Patch-Clamp Recordings In Ex Vivo Slice Preparation: Functional Connectivity, Synapse Dynamics, and Optogenetics." In Patch Clamp Electrophysiology, 285–309. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0818-0_15.
Full textHill, Charlotte L., and Gary J. Stephens. "An Introduction to Patch Clamp Recording." In Patch Clamp Electrophysiology, 1–19. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0818-0_1.
Full textZhou, Yi, He Li, and Zhongju Xiao. "In Vivo Patch-Clamp Studies." In Patch Clamp Electrophysiology, 259–71. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0818-0_13.
Full textCoddington, Luke T., and Joshua T. Dudman. "In Vivo Optogenetics with Stimulus Calibration." In Patch Clamp Electrophysiology, 273–83. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0818-0_14.
Full textLeng, Gareth, and Nancy Sabatier. "Electrophysiology of Magnocellular Neuronsin Vivo." In Neurophysiology of Neuroendocrine Neurons, 1–28. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118606803.ch1.
Full textvon Dincklage, F., and B. Rehberg. "In-vivo Electrophysiology of Anesthetic Action." In Sleep and Anesthesia, 243–55. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0173-5_11.
Full textRichardson, Eric S., and Yong-Fu Xiao. "Electrophysiology of Single Cardiomyocytes: Patch Clamp and Other Recording Methods." In Cardiac Electrophysiology Methods and Models, 329–48. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6658-2_16.
Full textStanfa, Louise C., and Anthony H. Dickenson. "In Vivo Electrophysiology of Dorsal-Horn Neurons." In Pain Research, 139–53. Totowa, NJ: Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-770-3_12.
Full textDeng, Ping, and Zao C. Xu. "Intracellular Recording In Vivo and Patch-Clamp Recording on Brain Slices." In Springer Protocols Handbooks, 105–21. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-576-3_7.
Full textFurue, Hidemasa. "In Vivo Blind Patch-Clamp Recording Technique." In Springer Protocols Handbooks, 171–82. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-53993-3_11.
Full textConference papers on the topic "In vivo electrophysiology recording"
Rivnay, Jonathan. "Organic transistors for electrophysiology (Presentation Recording)." In SPIE Organic Photonics + Electronics, edited by Iain McCulloch, Oana D. Jurchescu, Ioannis Kymissis, Ruth Shinar, and Luisa Torsi. SPIE, 2015. http://dx.doi.org/10.1117/12.2188315.
Full textScholvin, J., C. G. Fonstad, and E. S. Boyden. "Scaling models for microfabricated in vivo neural recording technologies." In 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2017. http://dx.doi.org/10.1109/ner.2017.8008321.
Full textZarifi, Telnaz, Chung-Ching Peng, and Mohammad Hossein Zarifi. "Low-power amplifier for in-vivo EEG signal recording." In 2011 1st Middle East Conference on Biomedical Engineering (MECBME). IEEE, 2011. http://dx.doi.org/10.1109/mecbme.2011.5752055.
Full textKeshtkaran, M. R., and Zhi Yang. "Power line interference cancellation in in-vivo neural recording." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6347169.
Full textJankowska-Kuchta, Elzbieta B., Jaroslaw W. Jaronski, and Ewa Lukaszewicz. "In-vivo recording the birefringence of the human cornea." In Barcelona - DL tentative, edited by Hans-Jochen Foth, Renato Marchesini, Halina Podbielska, Michel Robert-Nicoud, and Herbert Schneckenburger. SPIE, 1996. http://dx.doi.org/10.1117/12.229992.
Full textSchwerdt, Helen N., Minjung Kim, Ekin Karasan, Satoko Amemori, Daigo Homma, Hideki Shimazu, Tomoko Yoshida, Robert Langer, Ann M. Graybiel, and Michael J. Cima. "Subcellular electrode arrays for multisite recording of dopamine in vivo." In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2017. http://dx.doi.org/10.1109/memsys.2017.7863465.
Full textZbrzeski, Adeline, Paul Hasler, Florian Kolbl, Emilie Syed, Noelle Lewis, and Sylvie Renaud. "A programmable bioamplifier on FPAA for in vivo neural recording." In 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2010. http://dx.doi.org/10.1109/biocas.2010.5709584.
Full textShrivastav, Maneesh, and Paul Iaizzo. "In vivo cardiac monophasic action potential recording using electromyogram needles." In 2006 IEEE Biomedical Circuits and Systems Conference - Healthcare Technology (BioCas). IEEE, 2006. http://dx.doi.org/10.1109/biocas.2006.4600350.
Full textLopez, C. M., M. Welkenhuysen, S. Musa, W. Eberle, C. Bartic, R. Puers, and G. Gielen. "Towards a noise prediction model for in vivo neural recording." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346042.
Full textCota, Oscar F., Mario Schlosser, Michael Schiek, Thomas Stieglitz, Mortimer Gierthmuehlen, and Dennis Plachta. "iNODE in-vivo testing for selective vagus nerve recording and stimulation." In 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2015. http://dx.doi.org/10.1109/ner.2015.7146675.
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