activity
20222024
most citedAn Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

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.AR20231 cited

FPGA Implementation of OTFS Modulation for 6G Communication Systems

Murat Isik, Malvin Nkomo, Anup Das +1

Sixth-generation (6G) communication systems are poised to accommodate high data-rate wireless communication services in highly dynamic channels, with applications including high-sp…

cs.AR2023

Exploiting FPGA Capabilities for Accelerated Biomedical Computing

Kayode Inadagbo, Baran Arig, Nisanur Alici +1

This study presents advanced neural network architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs), a…

cs.AR2023

Design optimization for high-performance computing using FPGA

Murat Isik, Kayode Inadagbo, Hakan Aktas

Reconfigurable architectures like Field Programmable Gate Arrays (FPGAs) have been used for accelerating computations in several domains because of their unique combination of flex…

cs.LG20233 cited

An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA

Murat Isik, Matthew Oldland, Lifeng Zhou

Autoencoders are unsupervised neural networks that are used to process and compress input data and then reconstruct the data back to the original data size. This allows autoencoder…

cs.NE20222 cited

A Coupled Neural Circuit Design for Guillain-Barre Syndrome

Oguzhan Derebasi, Murat Isik, Oguzhan Demirag +2

Guillain-Barre syndrome is a rare neurological condition in which the human immune system attacks the peripheral nervous system. A peripheral nervous system appears as a diffusivel…