activity
20232026
most citedAstrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2026

A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration

Aybars Yunusoglu, Talha Coskun, Hiruna Vishwamith +2

Artificial intelligence (AI) is increasingly deployed in real-time and energy-constrained environments, driving demand for hardware platforms that can deliver high performance and…

cs.AR2024

Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units

Murat Isik, Sols Miziev, Wiktoria Pawlak +1

This paper introduces a groundbreaking digital neuromorphic architecture that innovatively integrates Brain Code Unit (BCU) and Fundamental Code Unit (FCU) using mixedsignal design…

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…

eess.AS2023

HPCNeuroNet: Advancing Neuromorphic Audio Signal Processing with Transformer-Enhanced Spiking Neural Networks

Murat Isik, Hiruna Vishwamith, Kayode Inadagbo +1

This paper presents a novel approach to neuromorphic audio processing by integrating the strengths of Spiking Neural Networks (SNNs), Transformers, and high-performance computing (…

cs.LG2023

Harnessing FPGA Technology for Enhanced Biomedical Computation

Nisanur Alici, Kayode Inadagbo, Murat Isik

This research delves into sophisticated neural network frameworks like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs)…

cs.NE2023★ 1 cited

Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks

Murat Isik, Kayode Inadagbo

This paper presents an innovative methodology for improving the robustness and computational efficiency of Spiking Neural Networks (SNNs), a critical component in neuromorphic comp…