Which model to use for cortical spiking neurons?
By Eugene M. Izhikevich. IEEE Transactions on Neural Networks, 2004
2,551 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/c629de70d0c1fd636e3a8fe16c883bdce3ae1097
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Jürgen Kurths
- Changsong Zhou
- Mikhail I. Rabinovich
- Allen I. Selverston
- Pablo Varona
- Henry D. I. Abarbanel
- D. Bulsara
- Viet-Khoa Vo-Ho
In Electrical and Electronic Engineering
- Garrick Orchard
- Ryad Benosman
- Nitish V. Thakor
- Changsong Zhou
- L. Zemanova
- Jürgen Kurths
- Liam P. Maguire
- Ammar Belatreche
In Statistical and Nonlinear Physics
- Jürgen Kurths
- Changsong Zhou
- L. Zemanova
- Georgina Cosma
- Liam P. Maguire
- Aboozar Taherkhani
- Yuhua Li
- Ammar Belatreche
Citations in the corpus
- Spin-Torque and Spin-Hall Nano-Oscillators (2015, background): “5) Neuromorphic Computing: Neurons can be modeled as nonlinear oscillators that vary their rhythms based on incoming signals [29], [252], [253].”
- The benefits of noise in neural systems: bridging theory and experiment (2011, background): “Although these neurons simulate the dynamics of real neuron”
- Spiking Neural Networks and Their Applications: A Review (2022, background): “A comparison of spiking neuron models in terms of implementation cost and biological plausibility (adopted from [33]).”
- A review of learning in biologically plausible spiking neural networks (2019, positive): “…computing paradigm and are potentially capable of modelling complex information processing in the brain (Brette, R. et al., 2007; Gerstner, Wulfram & Kistler, 2002; Hodgkin & Huxley, 1952; Izhikevich, 2004; Izhikevich, 2006; Kasabov, Dhoble, Nuntalid, & Indiveri, 2013; Maass & Zador, 1999).”
- Colloquium: Criticality and dynamical scaling in living systems (2017, background): “…of neuronal assemblies (Hertz et al., 1991; Hopfield, 1982), a large and disparate number of modeling approaches have been proposed to scrutinize neural dynamics (Amit, 1992; Amit and Brunel, 1997; Dayan and Abbott, 2006; Izhikevich, 2004, 2007; Kandel et al., 2000; Mattia and Sanchez-Vives, 2012).”
- TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip (2015, methodology): “Striking a balance, the implementation complexity is less than the Hodgkin–Huxley or Izhikevich neuron models, however, by combining 1–3 simple neurons, we are able to replicate all 20 of the biologically observed spiking neuron behaviors cataloged by Izhikevich [25].”