Luis Garcia

Orcid: 0000-0002-4942-0546

Affiliations:
  • Instituto Politécnico Nacional (IPN), ESIME, Mexico City, Mexico


According to our database1, Luis Garcia authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Spiking neural P systems with myelin and dendritic spines.
Neurocomputing, October, 2023

A high-precision distributed neural processor for efficient computation of a new distributed FxSMAP-L algorithm applied to real-time active noise control systems.
Neurocomputing, 2023

2022
A compact neuromorphic architecture with dynamic multiplexing to efficiently compute a nearest Kronecker product decomposition based RLS-NLMS algorithm for active noise control headphones.
Neurocomputing, 2022

An ultra-compact and high-speed FFT-based large-integer multiplier for fully homomorphic encryption using a dual spike-based arithmetic circuit over GF(p).
Neurocomputing, 2022

A biologically inspired spiking neural P system in selective visual attention for efficient feature extraction from human motion.
Frontiers Robotics AI, 2022

A high-precision multi-arithmetic neural circuit for the efficient computation of the new filtered-X Kronecker product APL-NLMS algorithm applied to active noise control.
Expert Syst. Appl., 2022

2021
Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback.
Neural Networks, 2021

High-performance and ultra-compact spike-based architecture for real-time acoustic echo cancellation.
Appl. Soft Comput., 2021

2020
A compact neuromorphic architecture with dynamic routing to efficiently simulate the FXECAP-L algorithm for real-time active noise control.
Appl. Soft Comput., 2020

2019
A highly scalable parallel spike-based digital neuromorphic architecture for high-order fir filters using LMS adaptive algorithm.
Neurocomputing, 2019

2018
A new scalable parallel adder based on spiking neural P systems, dendritic behavior, rules on the synapses and astrocyte-like control to compute multiple signed numbers.
Neurocomputing, 2018


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