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Literatura académica sobre el tema "Neural activity recording"

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Tesis sobre el tema "Neural activity recording"

1

Azin, Meysam. "A Battery-Powered Multichannel Microsystem for Activity-Dependent Intracortical Microstimulation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1298389278.

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Kostick, Nathan H. "Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1517920588275806.

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Rioult-Pedotti, Marc Guy. "Optical multisite recording of neural activity patterns in organotypic spinal cord tissue cultures /." [S.l.] : [s.n.], 1991. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9393.

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Yang, Calvin Tseng. "Recording locomotor neural ensemble activity using 3-D microprobe arrays and the development of a flexible planar array for recording spinal small-field cord-dorsum potentials." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1666917911&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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5

Suciu, Diana J. "NEURAL ACTIVITY WITHIN SOLID BREAST TUMORS AND THE IMPLICATIONS ON METASTASIS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1528117273992639.

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6

Youngstrom, Isaac. "Assessing Neural Function in Behaving Rodents Using Virtual Reality and Intracellular Recording: Modulation of Olfactory Bulb Interneuron Subthreshold Activity by Respiration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1433520980.

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7

Lago, Nicolò. "Characterization and modelling of organic devices for simultaneous stimulation and recording of cellular electrical activity with Reference-Less Electrolyte-Gated Organic Field-Effect Transistors." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426781.

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The study of neuronal and neurodegenerative diseases requires the development of new tools and technologies to create functional neuroelectronics allowing both stimulation and recording of cellular electrical activity. In the last decade organic electronics is digging its way in the field of bioelectronics and researchers started to develop neural interfaces based on organic semiconductors. The interest in such technologies arise from the intrinsic properties of organic materials such as low cost, transparency, softness and flexibility, as well the biocompatibility and the suitability in reali
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8

Shimizu, Tomoko. "Effect of electrical stimulation of the infralimbic and prelimbic cortices on anxiolytic-like behavior of rats during the elevated plus-maze test, with particular reference to multiunit recording of the behavior-associated neural activity." Kyoto University, 2018. http://hdl.handle.net/2433/235988.

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9

Mitelut, Catalin C. "Characterizing single neuron activity patterns and dynamics using multi-scale spontaneous neuronal activity recordings of cat and mouse cortex." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/63570.

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Throughout most of the 20th century the brain has been studied as a reflexive system with ever improving recording methods being applied within a variety of sensory and behavioural paradigms. Yet the brains of most animals (and all mammals) are spontaneously active with incoming sensory stimuli modulating rather than driving neural activity. The aim of this thesis is to characterize spontaneous neural activity across multiple temporal and spatial scales relying on biophysical simulations, experiments and analysis of recordings from the visual cortex of cats and dorsal cortex and thalamus of
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10

Peterson, Kristopher David. "Development of a micro recording probe for measurements of neuronal activity in freely moving animals." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6347.

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To discover general principles of biological sensorimotor control, insects have become remarkably successful model systems. In contrast to highly complex mammals, the functional organization of the insect nervous system in combination with a well-defined behavioural repertoire turned out to provide ideal conditions for quantitative studies into the neural control of behaviour. In addition, the search for biologically inspired control algorithms has further accelerated research into the neuronal mechanisms underlying flight and gaze stabilization, especially in blowflies. However, recording the
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