Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview

Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview

The rapid expansion of information systems in all areas of society demands more powerful, efficient, and low‐energy consumption computing systems. Neuromorphic engineering has emerged as a solution that attempts to mimic the brain to incorporate its capabilities to solve complex problems in a comput...

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Bibliographic Details
Main Authors: Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Intelligent Systems
Subjects:
analog sequential memory
DYNAP‐SE
hippocampus model
neuromorphic engineering
robustness analysis
spiking neural networks
Online Access:https://doi.org/10.1002/aisy.202400282
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https://doi.org/10.1002/aisy.202400282

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