Relevant bibliographies by topics / 128-channel multi electrode array

Academic literature on the topic '128-channel multi electrode array'

Author: Grafiati
Published: 18 August 2021
Last updated: 1 February 2022

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

Journal articles on the topic "128-channel multi electrode array":

1

Takata, Yuhei, Hongho Kim, Shinya Onogi, Etsuko Kobayashi, Ichiro Sakuma, Minoru Ono, Noboru Motomura, Kyo Shunei, and Shinichi Takamoto. "Global Epicardial Electrophysiological Mapping with Local Multi-Channel Electrode Array." Journal of Japan Society of Computer Aided Surgery 11, no. 1 (2015): 25–38. http://dx.doi.org/10.5759/jscas.11.25.

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Watts, S. J., P. Lindsey, and M. Hawthorne. "Medialization of electrode array in cochlear implantation." Journal of Laryngology & Otology 114, no. 10 (October 2000): 746–49. http://dx.doi.org/10.1258/0022215001904068.

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In the last few years, the main thrust of research into cochlear implantation has centred around the development of advanced multi-channel implants. A new area of development is now concentrating on maximizing the potential of each individual electrode in order to improve the quality of hearing. This study involved the medialization of the cochlear implant electrode array using a silastic positioner in five patients. Two parameters were measured, namely current units needed to produce a stapedial reflex, and impedance levels between the electrode and modiolus. On insertion of the cochlear implant, readings were taken before the insertion of the positioner, immediately afterwards and at two months.
3

Taniguchi, Noriyuki, Osamu Fukayama, Takafumi Suzuki, and Kunihiko Mabuchi. "Investigation of Implantable Multi-Channel Electrode Array in Rat Cerebral Cortex Used for Recording." IEEJ Transactions on Electronics, Information and Systems 127, no. 10 (2007): 1556–61. http://dx.doi.org/10.1541/ieejeiss.127.1556.

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Rennaker, R. L., A. M. Ruyle, S. E. Street, and A. M. Sloan. "An economical multi-channel cortical electrode array for extended periods of recording during behavior." Journal of Neuroscience Methods 142, no. 1 (March 2005): 97–105. http://dx.doi.org/10.1016/j.jneumeth.2004.07.018.

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Ullah, Khalil, Khalil Khan, Muhammad Amin, Muhammad Attique, Tae-Sun Chung, and Rabia Riaz. "Multi-Channel Surface EMG Spatio-Temporal Image Enhancement Using Multi-Scale Hessian-Based Filters." Applied Sciences 10, no. 15 (July 24, 2020): 5099. http://dx.doi.org/10.3390/app10155099.

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Surface electromyography (sEMG) signals acquired with linear electrode array are useful in analyzing muscle anatomy and physiology. Most algorithms for signal processing, detection, and estimation require adequate quality of the input signals, however, multi-channel sEMG signals are commonly contaminated due to several noise sources. The sEMG signal needs to be enhanced prior to the digital signal and image processing to achieve the best results. This study is using spatio-temporal images to represent surface EMG signals. The motor unit action potential (MUAP) in these images looks like a linear structure, making certain angles with the x-axis, depending on the conduction velocity of the MU. A multi-scale Hessian-based filter is used to enhance the linear structure, i.e., the MUAP region, and to suppress the background noise. The proposed framework is compared with some of the existing algorithms using synthetic, simulated, and experimental sEMG signals. Results show improved detection accuracy of the motor unit action potential after the proposed enhancement as a preprocessing step.
6

Kim, SooHong, SooSung Kim, and GyeRok Jeon. "Development of Multi-Array Electrode and Programmable Multi-channel Electrical Stimulator for Firing Trigger Point of Myofascial Pain Syndrome." Journal of Biomedical Engineering Research 36, no. 5 (October 31, 2015): 221–27. http://dx.doi.org/10.9718/jber.2015.36.5.221.

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Spiers, Kathryn, Tina Cardamone, John B. Furness, Jonathan C. M. Clark, James F. Patrick, and Graeme M. Clark. "An X-ray fluorescence microscopic analysis of the tissue surrounding the multi-channel cochlear implant electrode array." Cochlear Implants International 17, no. 3 (March 16, 2016): 129–31. http://dx.doi.org/10.1080/14670100.2016.1157943.

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Petrofsky, J., H. J. Suh, A. Fish, V. Hernandez, A. Abdo, K. Collins, E. Mendoza, and T. N. Yang. "A multi-channel stimulator and electrode array providing a rotating current whirlpool for electrical stimulation of wounds." Journal of Medical Engineering & Technology 32, no. 5 (January 2008): 371–84. http://dx.doi.org/10.1080/03091900601116994.

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Gao, Jie, Wenzheng Huang, Zhipeng Chen, Changqing Yi, and Lelun Jiang. "Simultaneous detection of glucose, uric acid and cholesterol using flexible microneedle electrode array-based biosensor and multi-channel portable electrochemical analyzer." Sensors and Actuators B: Chemical 287 (May 2019): 102–10. http://dx.doi.org/10.1016/j.snb.2019.02.020.

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Jang, Jungwoo, Changhoon Baek, Sunhyo Kim, Tae-Kyeong Lee, Gwang-Jin Choi, Shinyong Shim, Seunghyeon Yun, et al. "Current Stimulation of the Midbrain Nucleus in Pigeons for Avian Flight Control." Micromachines 12, no. 7 (June 30, 2021): 788. http://dx.doi.org/10.3390/mi12070788.

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A number of research attempts to understand and modulate sensory and motor skills that are beyond the capability of humans have been underway. They have mainly been expounded in rodent models, where numerous reports of controlling movement to reach target locations by brain stimulation have been achieved. However, in the case of birds, although basic research on movement control has been conducted, the brain nuclei that are triggering these movements have yet to be established. In order to fully control flight navigation in birds, the basic central nervous system involved in flight behavior should be understood comprehensively, and functional maps of the birds’ brains to study the possibility of flight control need to be clarified. Here, we established a stable stereotactic surgery to implant multi-wire electrode arrays and electrically stimulated several nuclei of the pigeon’s brain. A multi-channel electrode array and a wireless stimulation system were implanted in thirteen pigeons. The pigeons’ flight trajectories on electrical stimulation of the cerebral nuclei were monitored and analyzed by a 3D motion tracking program to evaluate the behavioral change, and the exact stimulation site in the brain was confirmed by the postmortem histological examination. Among them, five pigeons were able to induce right and left body turns by stimulating the nuclei of the tractus occipito-mesencephalicus (OM), nucleus taeniae (TN), or nucleus rotundus (RT); the nuclei of tractus septo-mesencephalicus (TSM) or archistriatum ventrale (AV) were stimulated to induce flight aviation for flapping and take-off with five pigeons.
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Journal articles

Dissertations / Theses on the topic "128-channel multi electrode array":

1

Wang, Ling. "Microchannel enhanced neuron-computer interface: design, fabrication, biophysics of signal generation, signal strength optimization, and its applications to ion-channel screening and basic neuroscience research." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/52810.

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En el presente trabajo, utilizamos técnicas de microfabricación, simulaciones numéricas, experimentos de electrofisiología para explorar la viabilidad en me- jorar la interface ordenador-neurona a través de microcanales, y la biofísica para la generación de señales en los dispositivos con microcanales. También demos- tramos que los microcanales pueden ser usados como una técnica prometedora con alto rendimiento en el muestreo automático de canales iónicos a nivel subce- lular. Finalmente, se ha diseñado, fabricado y probado el micropozo-microcanal como modificación adicional a los arreglos de multielectrodos, permitiendo una alta ganancia en la relación señal/ ruido (en inglés Signal to Noise Ratio SNR), y el registro de múltiples-lugares en poblaciones de baja densidad de redes neu- ronales del hipocampo in vitro. Primero, demostramos que son de alto rendimiento los microcanales de bajo costo con interface neurona-electrodo, para el registro extracelular de la activi- dad neuronal con baja complexidad, por periodos estables de larga duración y con alta ganancia SNR. En seguida, se realiza un estudio mediante experimentos y simulaciones nu- méricas de la biofísica para la generación de las señales obtenidas de los dispositi- vos con microcanales. Basados en los resultados, racionalizamos y demostramos como es que la longitud del canal (siendo 200 μm) y la sección transversal del microcanal (siendo 12 μm2) canaliza a los potenciales de acción para estar dentro del rango de milivolts. A pesar del bajo grado de complexidad envuelto en la fabricación y aplicación, los dispositivos con microcanales otorgan una sola media de valor SNR de 101 76, lo cual es favorablemente comparable con la SNR que se obtiene de desarrollos recientes que emplean electrodos curados con CNT y Si-NWFETs. Más aún, nosotros demostramos que el microcanal es una técnica promete- dora para el alto rendimiento del muestro automático de canales iónicos a nivel subcelular: (1) Información experimental y simulaciones numéricas sugieren que las señales registradas sólo afectan los parches membranales localizados dentro del microcanal o alrededor de 100 μm de las entradas del microcanal. (2) La transferencia de masa de los componentes químicos en los microcanales fue ana- lizada por experimentos y simulaciones FEM. Los resultados muestran que los microcanales que contienen glía y tejido neuronal pueden funcionar como barre- ra de fluido/química. Los componentes químicos pueden ser solamente aplicados a diferentes compartimentos a nivel subcelular. Finalmente, basado en simulaciones numéricas y resultados experimentales, se propone que del micropozo-microcanal, obtenido de la modificación de MEA (MWMC-MEA), la longitud óptima del canal debe ser 0,3 mm y la posición 1 óptima del electrodo intracanal, hacia la entrada más cercana del microcanal, debe ser 0,1 mm. Nosotros fabricamos un prototipo de MWMC-MEA, cuyo hoyo pasante sobre las películas de Polydimethylsiloxane (PDMS) fue microtrabajado a través de la técnica de grabados reactivos de plasma de iones. La baja densidad del cultivo (57 neuronas /mm2) en el MWMC-MEAs permitió que las neuronas vivieran al menos 14 días, con lo que la señal neuronal con la máxima SNR obtenida fue de 142. 2
In this present work, we used microfabrication techniques, numerical simulations, electrophysiological experiments to explore the feasibility of enhancing neuron-computer interfaces with microchannels and the biophysics of the signal generation in microchannel devices. We also demonstrate the microchannel can be used as a promising technique for high-throughput automatic ion-channel screening at subcellular level. Finally, a microwell-microchannel enhanced multielectrode array allowing high signal-to-noise ratio (SNR), multi-site recording from the low-density hippocampal neural network in vitro was designed, fabricated and tested. First, we demonstrate using microchannels as a low-cost neuron-electrode interface to support low-complexity, long-term-stable, high SNR extracellular recording of neural activity, with high-throughput potential. Next, the biophysics of the signal generation of microchannel devices was studied by experiments and numerical simulations. Based on the results, we demonstrate and rationalize how channels with a length of 200 μm and channel cross section of 12 μm2 yielded spike sizes in the millivolt range. Despite the low degree of complexity involved in their fabrication and use, microchannel devices provided a single-unit mean SNR of 101 76, which compares favourably with the SNR obtained from recent developments employing CNT-coated electrodes and Si-NWFETs. Moreover, we further demonstrate that the microchannel is a promising technique for high-throughput automatic ion-channel screening at subcellular level: (1) Experimental data and numerical simulations suggest that the recorded signals are only affected by the membrane patches located inside the microchannel or within 100 μm to the microchannel entrances. (2) The mass transfer of chemical compounds in microchannels was analyzed by experiments and FEM simulations. The results show that the microchannel threaded by glial and neural tissue can function as fluid/chemical barrier. Thus chemical compounds can be applied to different subcellular compartments exclusively. Finally, a microwell-microchannel enhanced MEA (MWMC-MEA), with the optimal channel length of 0.3 mm and the optimal intrachannel electrode position of 0.1 mm to the nearest channel entrance, was proposed based on numerical simulation and experiment results. We fabricated a prototype of the MWMCMEA, whose through-hole feature of Polydimethylsiloxane film (PDMS) was micromachined by reactive-ion etching. The low-density culture (57 neurons/mm2) were survived on the MWMC-MEAs for at least 14 days, from which the neuronal signal with the maximum SNR of 142 was obtained.
2

Zachrisson, Love. "Investigation of coherence between limbic structures in a rodent model of Parkinson's Disease." Thesis, Umeå universitet, Institutionen för psykologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-186674.

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Parkinson’s Disease affects 10 million people worldwide, with 40% of patients developing an associated psychosis which has been identified by studies as the number one source of caretaker distress and is related to increased mortality. This is further complicated by the fact that typical antipsychotic drugs worsen many of the motor symptoms implicated in Parkinson’s Disease, with only one commercially available drug able to ameliorate both symptoms. This problem ushers the development of novel drugs to treat these symptoms, as first tested on research animals. Complicating matters, drug effectiveness on the degree of psychosis is hard to obtain in animals without a reliable biomarker. However, a hallmark of psychotic states is thought to be the reduced coordination between brain structures, through neuronal synchronization, as demonstrated by steady-state responses and is suggested to be a potential biomarker of psychosis. By building a MATLAB software we were able to analyze the degree of neural synchronization between structures, during an auditory steady-state response, in rats that had been unilaterally lesioned by the 6-Hydroxydopamine model of Parkinson’s Disease, before and after administration of the psychotomimetic drug MK801. These rats had been chronically implanted with 128-channel multi electrode array, enabling us to measure the strength of coherence between several limbic structures, associated with auditory processing, from the sampled local field potential, identifying the degree of synchronization in the animal brain. As our data demonstrate that coherence levels dropped in the psychotic drug state, for structures in both the healthy and the Parkinsonian hemisphere, we are able to further demonstrate the validity of coherence measures as a biomarker for psychosis. These results demonstrate that our software can be used as a tool to assess the therapeutic response of drugs developed, aimed at treating Parkinson’s associated psychosis.
Parkinsons sjukdom drabbar 10 miljoner världen över, där 40% av patienterna utvecklar en associerad psykos vilket har visats vara en av de största stressfaktorerna för deras vårdgivare och är även förknippat med en högre dödlighetsgrad. Denna situation förvärras av det faktum att de vanliga antipsykotiska drogerna kan förvärra många av de motoriska symptom som utgörs av Parkinsons sjukdom och det finns i dagsläget enbart en enda kommersiell drog som kan dämpa bägge symptom samtidigt. Detta problem frammanar vidare utveckling av nya läkemedel som kan behandla dessa symptom, som innebär att de först måste testas på försöksdjur. En komplikation som uppstår i relation till detta är svårigheten att utvärdera om läkemedel har någon terapeutisk effekt på de psykotiska tillstånden, enbart genom att observera försöksdjurens beteenden, och en pålitlig biomarkör krävs istället. En lösning kan dock finnas i det faktum att psykotiska tillstånd karaktäriseras av en reducerad förmåga för olika hjärnområden att koordinera genom neural synkronisering vilket demonstreras av ‘steady- state’ responser. Detta föreslår att ett mått på graden av koordineringsförmåga kan agera som en möjlig biomarkör för psykotiska tillstånd. Genom att konstruera ett MATLAB-program kunde vi analysera graden av synkronicitet mellan hjärnstrukturer, under den auditiva steady- state responsen i råttor som hade blivit ensidigt lesionerade genom 6-Hydroxiddopamin modellen av Parkinsons sjukdom, före och efter administration av den psykotomimetiska drogen MK801. Dessa råttor hade blivit kroniskt implanterade med 128 elektroder vilket möjliggjorde att vi kunde mäta styrkan i koherens i den lokala fält potentialen mellan limbiska strukturer, som är associerade med auditiv processering, vilket möjliggjorde identifiering av3dessa strukturers synkronicitet. Vår data demonstrerar att koherensen minskade under det psykotiska drogtillståndet för limbiska strukturer både i den intakta och den lesionerade hjärnhalvan. Detta är en vidare demonstration av att koherensnivåer kan agera som en biomarkör för det psykotiska tillståndet, liksom att vår mjukvara kan nyttjas som ett verktyg för att utvärdera nya läkemedels behandlingsförmåga på Parkinsons psykos.
3

Christensen, Paul Richard. "Sensory source identification from nerve recordings with multi-channel electrode arrays." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24108.pdf.

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Chao, Ming-Huei, and 趙銘輝. "Application of multi-channel electrode array for flow system analysis." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/18711861275448799850.

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博士
國立中山大學
化學系
87
Electrochemical detection is one of the most versatile and senesitive detection methods used in flow injection and liquid chromatography. Among the various electrochemical techniques applied, amperometric detection, due to the inherient high selectivity and low detection limit, is the most freqently used method. To improve the function of the amperometric detection, varios type of multielectrode detection system have been develope. This paper were divide to three parts. The subject of first part is about the 32-microband electrode array detection system for liquid detection system for liquid chromatography analysis. With this electrode array, both the oxidation and reduction three-dimensional hydrodynamic chromatovolatmmograms of a reversible reaction can be obtained in a single chromatographic run. The versatility of this electrode array was demonstrated by running solutions containing various phenolic compounds with FIA and HPLC system. The subject of the second part is the apllication of a four-material electrode array for flow injection analysis. Difference compounds response to difference material electrode, for a simple sample, the detection system can analsis four compounds at the same time without separation procedure. The subject of the third part is the apllication of a four-material electrode array for liquid chromatography analysis. For a complex sample, there may be more than one compound can resonpse at the same material electrode, to analysis all the componensts in sample, the components were separate by liquid chromatographic column, some un-resolve chromatographic peaks were resolve by difference material electrode.
5

Hung, Pei-Kai, and 洪培凱. "Development of Light-addressable Multi-electrode Arrays Chip and Multi-channel Recording System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/12733994824579024952.

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碩士
中臺科技大學
醫學工程暨材料研究所
95
In this study, a light addressable microelectrode array (LA-MEA) chip and multichannel recording system has been developed to measure electrophysiological signals of neural cells. A sputtered indium tin oxide (ITO) film on a glass is to substitute for metal electrodes and leads in this LA-MEA chip. Hydrogenated amorphous silicon (a-Si:H) is then deposited above the ITO layer and serves as a photoconductor layer. Vertical cavity surface emitting laser (VCSEL) is used as light source and is structured in 8 by 8 arrays with a distance of 200 μm to each other. Each ITO electrode on the chip is addressed by the corresponding VCSEL diode. Meanwhile, the material property of micro-electrode embedded on LA-MEA chip is verified to investigate the optimal fabrication parameters. The result shows the photoconductor micro-electrode of LA-MEA system possesses higher impedance but neural signals are accessible in this system. The specific neural precursor cell line, PC-12, is used in our experiments to measure the electrophysiological signals.

Book chapters on the topic "128-channel multi electrode array":

1

Xie, Hong-Bo, and Tianruo Guo. "Two-Directional Two-Dimensional Principal Component Analysis Based on Wavelet Decomposition for High-Dimensional Biomedical Signals Classification." In Biomedical Engineering, 232–54. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3158-6.ch009.

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Here, we present a multi-scale two-directional two-dimensional principal component analysis (MS2D2PCA) method for the efficient and effective extraction of essential feature information from signals. Time-invariant multi-scale matrices are constructed in the first step. The two-directional two-dimensional principal component analysis then operates on the multi-scale matrices to reduce the dimension, rather than vectors in conventional PCA. Results are presented from an experiment to classify twenty hand motions using 89-channel EMG signals recorded in stroke survivors, which illustrates the efficiency and effectiveness of the proposed method for biomedical signal analysis. With this multi-scale two-directional two-dimensional principal component analysis for high-dimensional signal classification, spatial-time-frequency discriminant information from high-dimensional EMG electrode array can be effectively extracted and reduced using the proposed method. Compared with the time domain feature extraction in conjunction with PCA, MS2D2PCA performed better with higher classification accuracy and less PCs in EMG classification. The efficiency and effectiveness of the method can be further validated by using high-dimensional EEG, MEG, fMRI signals. Although the present study focuses on high-dimensional signal pattern classification, based on the PCs obtained at multiple scales, it is relatively straightforward to expand MS2D2PCA for high-dimensional signal compression, denoising, component extraction, and other related tasks.
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Xie, Hong-Bo, and Tianruo Guo. "Two-Directional Two-Dimensional Principal Component Analysis Based on Wavelet Decomposition for High-Dimensional Biomedical Signals Classification." In Computational Tools and Techniques for Biomedical Signal Processing, 100–122. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0660-7.ch005.

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Here, we present a multi-scale two-directional two-dimensional principal component analysis (MS2D2PCA) method for the efficient and effective extraction of essential feature information from signals. Time-invariant multi-scale matrices are constructed in the first step. The two-directional two-dimensional principal component analysis then operates on the multi-scale matrices to reduce the dimension, rather than vectors in conventional PCA. Results are presented from an experiment to classify twenty hand motions using 89-channel EMG signals recorded in stroke survivors, which illustrates the efficiency and effectiveness of the proposed method for biomedical signal analysis. With this multi-scale two-directional two-dimensional principal component analysis for high-dimensional signal classification, spatial-time-frequency discriminant information from high-dimensional EMG electrode array can be effectively extracted and reduced using the proposed method. Compared with the time domain feature extraction in conjunction with PCA, MS2D2PCA performed better with higher classification accuracy and less PCs in EMG classification. The efficiency and effectiveness of the method can be further validated by using high-dimensional EEG, MEG, fMRI signals. Although the present study focuses on high-dimensional signal pattern classification, based on the PCs obtained at multiple scales, it is relatively straightforward to expand MS2D2PCA for high-dimensional signal compression, denoising, component extraction, and other related tasks.
3

Maffezzoli, A., and E. Wanke. "Explorative Data Analysis of In-Vitro Neuronal Network Behavior Based on an Unsupervised Learning Approach." In Machine Learning, 2068–80. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch812.

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In the present chapter authors want to expose new insights in the field of Computational Neuroscience at regard to the study of neuronal networks grown in vitro. Such kind of analyses can exploit the availability of a huge amount of data thanks to the use of Multi Electrode Arrays (MEA), a multi-channel technology which allows capturing the activity of several different neuronal cells for long time recordings. Given the possibility of simultaneous targeting of various sites, neuroscientists are so applying such recent technology for various researches. The chapter begins by giving a brief presentation of MEA technology and of the data produced in output, punctuating some of the pros and cons of MEA recordings. Then we present an overview of the analytical techniques applied in order to extrapolate the hidden information from available data. Then we shall explain the approach we developed and applied on MEAs prepared in our cell culture laboratory, consisting of statistical methods capturing the main features of the spiking, in particular bursting, activity of various neuron, and performing data dimensionality reduction and clustering, in order to classify neurons according to their spiking properties having showed correlated features. Finally the chapter wants to furnish to neuroscientists an overview about the quantitative analysis of in-vitro spiking activity data recorded via MEA technology and to give an example of explorative analysis applied on MEA data. Such study is based on methods from Statistics and Machine Learning or Computer Science but at the same time strictly related to neurophysiological interpretations of the putative pharmacological manipulation of synaptic connections and mode of firing, with the final aim to extract new information and knowledge about neuronal networks behavior and organization.
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Maffezzoli, A., and E. Wanke. "Explorative Data Analysis of In-Vitro Neuronal Network Behavior Based on an Unsupervised Learning Approach." In Biocomputation and Biomedical Informatics, 241–53. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-768-3.ch017.

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In the present chapter authors want to expose new insights in the field of Computational Neuroscience at regard to the study of neuronal networks grown in vitro. Such kind of analyses can exploit the availability of a huge amount of data thanks to the use of Multi Electrode Arrays (MEA), a multi-channel technology which allows capturing the activity of several different neuronal cells for long time recordings. Given the possibility of simultaneous targeting of various sites, neuroscientists are so applying such recent technology for various researches. The chapter begins by giving a brief presentation of MEA technology and of the data produced in output, punctuating some of the pros and cons of MEA recordings. Then we present an overview of the analytical techniques applied in order to extrapolate the hidden information from available data. Then we shall explain the approach we developed and applied on MEAs prepared in our cell culture laboratory, consisting of statistical methods capturing the main features of the spiking, in particular bursting, activity of various neuron, and performing data dimensionality reduction and clustering, in order to classify neurons according to their spiking properties having showed correlated features. Finally the chapter wants to furnish to neuroscientists an overview about the quantitative analysis of in-vitro spiking activity data recorded via MEA technology and to give an example of explorative analysis applied on MEA data. Such study is based on methods from Statistics and Machine Learning or Computer Science but at the same time strictly related to neurophysiological interpretations of the putative pharmacological manipulation of synaptic connections and mode of firing, with the final aim to extract new information and knowledge about neuronal networks behavior and organization.

Conference papers on the topic "128-channel multi electrode array":

1

McCarthy, P. T., R. Madangopal, K. J. Otto, and M. P. Rao. "Titanium-based multi-channel, micro-electrode array for recording neural signals." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334429.

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Mak, Joseph N. F., Yong Hu, and Keith D. K. Luk. "Mapping surface EMG activation patterns with neuromuscular disorders by an implanted multi-channel electrode array." In 2008 International Conference on Technology and Applications in Biomedicine (ITAB). IEEE, 2008. http://dx.doi.org/10.1109/itab.2008.4570628.

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Theriot, Jeremy J., Neal Prakash, Arthur W. Toga, and Y. Sungtaek Ju. "Microfabricated Electrode Array Compatible With Optical Imaging of Intrinsic Signals During Somatosensory Stimulation and Cortical Spreading Depression." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16086.

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Accurate interpretation of functional brain images requires knowledge of the relationship between neurons and their supporting cells and vasculature. Our understanding of this complex and dynamic system would improve if we measure multiple aspects of brain function simultaneously. We have developed a semi-transparent electrode array which allows for concurrent multi-site electrophysiological recording and high-resolution optical imaging of intrinsic signals. The 8-channel electrode array is fabricated on a transparent glass substrate with platinum recording surfaces. We map stimulus-induced field potentials (evoked potentials) and changes in cerebral blood volume in rat somatosensory cortex. We also examine the evolution of these responses during the neuro-pathological state of cortical spreading depression. We have developed a planar multi-electrode array that is fully compatible with Optical imaging of Intrinsic Signals. It provides a sensitive and reliable tool to use in the study of neurovascular coupling in brain activation.
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Kerns, Douglas, Philip Troyk, and Glenn DeMichele. "A Monolithic Multi-Channel Amplifier for Electrode Arrays." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260843.

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5

Kerns, Douglas, Philip Troyk, and Glenn DeMichele. "A Monolithic Multi-Channel Amplifier for Electrode Arrays." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398072.

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6

Yamagiwa, Shota, Hirohito Sawahata, Makoto Ishida, and Takeshi Kawano. "Micro-electrode arrays for multi-channel motor unit EMG recording." In 2014 IEEE 27th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2014. http://dx.doi.org/10.1109/memsys.2014.6765776.

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7

Xu, Qi, Tao Huang, Jiping He, Yizhao Wang, and Houlun Zhou. "A programmable multi-channel stimulator for array electrodes in transcutaneous electrical stimulation." In 2011 IEEE/ICME International Conference on Complex Medical Engineering - CME 2011. IEEE, 2011. http://dx.doi.org/10.1109/iccme.2011.5876821.

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8

Hu, Yaoxing, Sanjiv Sharma, Jean Weatherwax, Anthony Cass, and Pantelis Georgiou. "A portable multi-channel potentiostat for real-time amperometric measurement of multi-electrode sensor arrays." In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2016. http://dx.doi.org/10.1109/iscas.2016.7527488.

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9

Alfaro, M., I. Chairez, and L. Nino de Rivera. "Adaptive multi-channel portable stimulator based on PWM: A tool for micro-stimulation using multi-array electrodes." In 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2011). IEEE, 2011. http://dx.doi.org/10.1109/iceee.2011.6106616.

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Hu, Yaoxing, Sanjiv Sharma, Jean Weatherwax, Anthony Cass, and Pantelis Georgiou. "Live demonstration: A portable multi-channel potentiostat for real-time amperometric measurement of multi-electrode sensor arrays." In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2016. http://dx.doi.org/10.1109/iscas.2016.7539064.

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