Neuromorphic Silicon Neuron Circuitsстатья из журнала
Аннотация: Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain-machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements. In this paper we describe the most common building blocks and techniques used to implement these circuits, and present an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin-Huxley models to bi-dimensional generalized adaptive integrate and fire models. We compare the different design methodologies used for each silicon neuron design described, and demonstrate their features with experimental results, measured from a wide range of fabricated VLSI chips.
Год издания: 2011
Авторы: Giacomo Indiveri, B. Linares-Barranco, Tara Julia Hamilton, André van Schaik, Ralph Etienne‐Cummings, Tobi Delbrück, Shih‐Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud, Johannes Schemmel, Gert Cauwenberghs, John V. Arthur, K.M. Hynna, Fopefolu Folowosele, Sylvain Saïghi, Teresa Serrano‐Gotarredona, Jayawan Wijekoon, Yingxue Wang, Kwabena Boahen
Издательство: Frontiers Media
Источник: Frontiers in Neuroscience
Ключевые слова: Advanced Memory and Neural Computing, Neural dynamics and brain function, Ferroelectric and Negative Capacitance Devices
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Frontiers in Neuroscience (HTML)
HAL (Le Centre pour la Communication Scientifique Directe) (HTML)
HAL (Le Centre pour la Communication Scientifique Directe) (HTML)
DOAJ (DOAJ: Directory of Open Access Journals) (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
Zurich Open Repository and Archive (University of Zurich) (HTML)
DIGITAL.CSIC (Spanish National Research Council (CSIC)) (PDF)
DIGITAL.CSIC (Spanish National Research Council (CSIC)) (HTML)
Repository for Publications and Research Data (ETH Zurich) (PDF)
Repository for Publications and Research Data (ETH Zurich) (HTML)
eScholarship (California Digital Library) (PDF)
eScholarship (California Digital Library) (HTML)
PubMed Central (HTML)
PubMed (HTML)
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