Liquid state machine on loihi: Memory metric for performance prediction

[PDF] arxiv.org

Exploring liquid neural networks on loihi-2

WA Pawlak, M Isik, D Le, IC Dikmen - arXiv preprint arXiv:2407.20590, 2024 - arxiv.org
This study investigates the realm of liquid neural networks (LNNs) and their deployment on
neuromorphic hardware platforms. It provides an in-depth analysis of Liquid State Machines …
被引用次数：1 相关文章 所有 2 个版本

Memristor Based Liquid State Machine with Method for In-Situ Training

A Henderson, C Yakopcic, C Merkel… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Spiking neural network (SNN) hardware has gained significant interest due to its ability to
process complex data in size, weight, and power (SWaP) constrained environments …
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[PDF] arxiv.org

Neuromorphic on-chip reservoir computing with spiking neural network architectures

S Karki, DC Arana, A Sornborger… - arXiv preprint arXiv …, 2024 - arxiv.org
Reservoir computing is a promising approach for harnessing the computational power of
recurrent neural networks while dramatically simplifying training. This paper investigates the …
相关文章 所有 2 个版本