Orientation-Selective aVLSI Spiking Neurons

By Shih-Chii Liu, J. Kramer, Giacomo Indiveri, Tobi Delbruck, Rodney J. Douglas. 2001

130 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

Citations in the corpus

• Deep learning in neural networks: An overview (2014, neutral): “…Fieres, Schemmel, & Meier, 2008; Glackin, McGinnity, Maguire, Wu, & Belatreche, 2005; Indiveri et al., 2011; Jin et al., 2010; Khan et al., 2008; Liu et al., 2001; Merolla et al., 2014; Neil & Liu, 2014; Roggen, Hofmann, Thoma, & Floreano, 2003; Schemmel, Grubl,Meier, &Mueller, 2006;…”
• A Survey of Neuromorphic Computing and Neural Networks in Hardware (2017, unknown): “[1711], [1715], [1717], [1718], [1723], [1725], [1727], [1738],”
• Synaptic Dynamics in Analog VLSI (2007, unknown): “Despite these problems and although the CMI cannot be used to linearly sum postsynaptic currents, this circuit was very popular and has been extensively used by the neuromorphic engineering community (Boahen, 1998; Horiuchi & Hynna 2001; Indiveri, 2000; Liu et al., 2001).”
• Neuromorphic Silicon Neuron Circuits (2011, unknown): “The principles used by this design to control spiking thresholds explicitly have been used in analogous SiN implementations (Indiveri, 2000; Indiveri et al., 2001; Liu et al., 2001).”