Energy-efficient neuromorphic classifiers

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Martí, Daniel; Rigotti, Mattia; Seok, Mingoo; Fusi, Stefano;
(2015)
  • Subject: Quantitative Biology - Neurons and Cognition | Computer Science - Neural and Evolutionary Computing

Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and compact devices that mimic the synaptic and neural machinery of the brain. Neuromorphic engine... View more
  • References (51)
    51 references, page 1 of 6

    1. Mead C (1989) Analog VLSI implementation of neural systems (Addison Wesley Publishing Company).

    2. Indiveri G, et al. (2011) Neuromorphic silicon neuron circuits. Front. Neurosci. 5.

    3. Livi P, Indiveri G (2009) A current-mode conductance-based silicon neuron for address-event neuromorphic systems pp 2898{2901.

    4. Rangan V, Ghosh A, Aparin V, Cauwenberghs G (2010) A subthreshold aVLSI implementation of the Izhikevich simple neuron model pp 4164{4167.

    5. Chicca E, Stefanini F, Indiveri G (2014) Neuromorphic electronic circuits for building autonomous cognitive systems. Proceedings of the IEEE PP:1{22.

    6. Merolla PA, et al. (2014) A million spiking-neuron integrated circuit with a scalable communication network and interface. Science 345:668{673.

    7. Jaeger H, Haas H (2004) Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304:78{80.

    8. Buonomano DV, Maass W (2009) State-dependent computations: spatiotemporal processing in cortical networks. Nat Rev Neurosci 10:113{125.

    9. Barak O, Rigotti M, Fusi S (2013) The sparseness of mixed selectivity neurons controls the generalization{discrimination trade-o . J. Neurosci. 33:3844{3856.

    10. Arthur JV, et al. (2012) Building block of a programmable neuromorphic substrate: A digital neurosynaptic core (IEEE), pp 1{8.

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