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Active Pixel Sensor Multielectrode Array for High Spatiotemporal Resolution

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Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing

Abstract

Among the different methodologies used for electrophysiological measures in the brain, electrodes have played an undisputed role in high-quality intracellular signal recordings from a few neurons and in chronic extracellular measures with electrode-array probes implanted in the brain. Electrode arrays providing multisite extracellular measures have become a key methodology in neuroscience for studying coding and transmission of information by neuronal ensembles [1] and for the development of Brain–Machine Interfaces (BMIs) and neural prosthetics [2–8]. This is mainly because electrode arrays combine the unique features of bidirectionality (i.e., recording and stimulation), long-term stability (up to years), and of a large signal bandwidth that enables recordings of action potentials from multiple neurons as well as low-frequency field potentials (LFPs).

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Authors and Affiliations

  1. NetS3 Laboratory, Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genoa, Italy

    L. Berdondini, A. Bosca, T. Nieus & A. Maccione

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  1. L. Berdondini
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  2. A. Bosca
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  3. T. Nieus
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  4. A. Maccione
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Correspondence to L. Berdondini .

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  1. Dip. Ing. Innovazione - Università del Salento, Center for Biomolecular Nanotechnologies, Istituto Italiano di Tecnologia, Arnesano, Lecce, Italy

    Massimo De Vittorio

  2. Center for Biomolecular Nanotechnologies, Istituto Italiano di Tecnologia, Arnesano, Lecce, Italy

    Luigi Martiradonna

  3. Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia,Trento, Italy and Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA

    John Assad

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Berdondini, L., Bosca, A., Nieus, T., Maccione, A. (2014). Active Pixel Sensor Multielectrode Array for High Spatiotemporal Resolution. In: De Vittorio, M., Martiradonna, L., Assad, J. (eds) Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-8038-0_7

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