Compact silicon neuron circuit with spiking and bursting behaviour
By Jayawan H. B. Wijekoon, Piotr Dudek. Neural Networks, 2008
331 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ef7b94d878251be71147493a371537bb89d5cb3a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Giacomo Indiveri
- Shih-Chii Liu
- A. van Schaik
- John V. Arthur
- Johannes Schemmel
- Gert Cauwenberghs
- Fabio Stefanini
- Tobi Delbruck
In Electrical and Electronic Engineering
- Giacomo Indiveri
- Shih-Chii Liu
- Fabio Stefanini
- B. Linares‐Barranco
- Tobi Delbruck
- T. Serrano‐Gotarredona
- Chiara Bartolozzi
- Elisabetta Chicca
Citations in the corpus
- Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems (2014, background): “…can be integrated to form multi-chip spiking recurrent and WinnerTake-All neural networks, which in turn have been proposed as neural models for explaining pattern recognition [24], [25], working memory [9], [26], decision making [27], [28] and state-dependent computation [29], [30] in the brain.”
- Artificial neural networks in hardware: A survey of two decades of progress (2010, unknown): “The silicon realization of Izhikevich's model has been presented in a recent work by Wijekoon and Dudek [136].”
- Neuromorphic Silicon Neuron Circuits (2011, methodology): “The quadratic I&F neuron circuit (Wijekoon and Dudek, 2008), shown in Figure 16A , is an example of an above-threshold generalized I&F circuit.”