24 citations · 43 across the 9 of their papers we have counts for
9 papers
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…
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…
A Survey of Spiking Neural Network Accelerator on FPGA
Murat Isik
Due to the ability to implement customized topology, FPGA is increasingly used to deploy SNNs in both embedded and high-performance applications. In this paper, we survey state-of-…
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…
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…
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…
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity
Mali Halac, Murat Isik, Hasan Ayaz +1
Reconstructing perceived images from human brain activity monitored by functional magnetic resonance imaging (fMRI) is hard, especially for natural images. Existing methods often r…
A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks
Murat Işık, Ankita Paul, M. Lakshmi Varshika +1
We propose a design methodology to facilitate fault tolerance of deep learning models. First, we implement a many-core fault-tolerant neuromorphic hardware design, where neuron and…
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review
Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul +3
Recently, both industry and academia have proposed several different neuromorphic systems to execute machine learning applications that are designed using Spiking Neural Networks (…