activity
20232026
most citedExploring Liquid Neural Networks on Loihi-2

7 citations · 12 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.LG2024

HPCNeuroNet: A Neuromorphic Approach Merging SNN Temporal Dynamics with Transformer Attention for FPGA-based Particle Physics

Murat Isik, Hiruna Vishwamith, Jonathan Naoukin +1

This paper presents the innovative HPCNeuroNet model, a pioneering fusion of Spiking Neural Networks (SNNs), Transformers, and high-performance computing tailored for particle phys…

cs.LG2024★ 2 cited

Multimodal LLM for Intelligent Transportation Systems

Dexter Le, Aybars Yunusoglu, Karn Tiwari +2

In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various a…

cs.AR2024

NeuroVM: Dynamic Neuromorphic Hardware Virtualization

Murat Isik, Jonathan Naoukin, I. Can Dikmen

This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends tr…

cs.AR2024★ 2 cited

Accelerating Sensor Fusion in Neuromorphic Computing: A Case Study on Loihi-2

Murat Isik, Karn Tiwari, Muhammed Burak Eryilmaz +1

In our study, we utilized Intel's Loihi-2 neuromorphic chip to enhance sensor fusion in fields like robotics and autonomous systems, focusing on datasets such as AIODrive, Oxford R…

cs.ET2024★ 7 cited

Exploring Liquid Neural Networks on Loihi-2

Wiktoria Agata Pawlak, Murat Isik, Dexter Le +1

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 Machine…

cs.CR2024★ 1 cited

NEUROSEC: FPGA-Based Neuromorphic Audio Security

Murat Isik, Hiruna Vishwamith, Yusuf Sur +2

Neuromorphic systems, inspired by the complexity and functionality of the human brain, have gained interest in academic and industrial attention due to their unparalleled potential…