Quantization-based simulation of spiking neurons: theoretical properties and performance analysis-Reference-Cited by-同舟云学术

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Quantization-based simulation of spiking neurons: theoretical properties and performance analysis

Published:2023-11-22 Issue: Volume: Page:1-24
ISSN:1747-7778
Container-title:Journal of Simulation
language:en
Short-container-title:Journal of Simulation

Author:

Bergonzi Mariana¹²,Fernández Joaquín¹,Castro Rodrigo³⁴,Muzy Alexandre⁵,Kofman Ernesto¹²

Affiliation:

1. CIFASIS-CONICET, Rosario, Argentina

2. Departamento de Control, FCEIA-UNR, Rosario, Argentina

3. ICC-CONICET, Buenos Aires, Argentina

4. Departamento de Computación, FCEyN-UBA, Buenos Aires, Argentina

5. e I3S Laboratory, Université Côte d’Azur,CNRS, Nice, France

Funder

Agencia Nacional de Promoción Científica y Tecnológica

Consejo Nacional de Investigaciones Científicas y Técnicas

CNRS PRIME eXplAIn research team

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17477778.2023.2284143

Reference47 articles.

1. Simulation of networks of spiking neurons: A review of tools and strategies

2. Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonance

3. A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input

4. Activity of order n in continuous systems

5. Cellier, F., & Kofman, E. (2006). Continuous system simulation. Springer.

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