SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks

Author:

Branquinho Henrique1ORCID,Lourenço Nuno1ORCID,Costa Ernesto1ORCID

Affiliation:

1. CISUC, DEI, University of Coimbra, Coimbra, Portugal

Funder

Foundation for Science and Technology

Center for Informatics and Systems of the University of Coimbra

Portuguese Recovery and Resilience Plan

Publisher

ACM

Reference43 articles.

1. DENSER: deep evolutionary network structured representation

2. Fast-DENSER: Fast Deep Evolutionary Network Structured Representation

3. Thomas Bäck and Hans-Paul Schwefel . 1993. An overview of evolutionary algorithms for parameter optimization. Evolutionary computation 1, 1 ( 1993 ), 1--23. Thomas Bäck and Hans-Paul Schwefel. 1993. An overview of evolutionary algorithms for parameter optimization. Evolutionary computation 1, 1 (1993), 1--23.

4. Alejandro Baldominos , Yago Saez , and Pedro Isasi . 2020. On the automated, evolutionary design of neural networks: past, present, and future. Neural computing and applications 32 ( 2020 ), 519--545. Alejandro Baldominos, Yago Saez, and Pedro Isasi. 2020. On the automated, evolutionary design of neural networks: past, present, and future. Neural computing and applications 32 (2020), 519--545.

5. Error-backpropagation in temporally encoded networks of spiking neurons

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