Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory-Reference-Cited by-同舟云学术

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Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory

Published:2024-10 Issue: Volume:178 Page:106474
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Casanueva-Morato Daniel^ORCID,Ayuso-Martinez Alvaro^ORCID,Dominguez-Morales Juan P.^ORCID,Jimenez-Fernandez Angel^ORCID,Jimenez-Moreno Gabriel^ORCID

Funder

Gobierno de España Ministerio de Ciencia, Innovación y Universidades

Publisher

Elsevier BV

Reference48 articles.

1. Brain-inspired spiking neural networks;Ahmed,2020

2. Spike timing–dependent plasticity: a Hebbian learning rule;Caporale;Annual Review of Neuroscience,2008

3. A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model;Casanueva-Morato,2022

4. Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker;Casanueva-Morato,2022

5. Bioinspired spike-based hippocampus and posterior parietal cortex models for robot navigation and environment pseudomapping;Casanueva-Morato;Advanced Intelligent Systems,2023

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