26 citations · 84 across the 10 of their papers we have counts for
10 papers
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer +6
Electrophysiological recordings of neural activity in a mouse's brain are very popular among neuroscientists for understanding brain function. One particular area of interest is ac…
Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis
Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema +1
Challenging the Nvidia monopoly, dedicated AI-accelerator chips have begun emerging for tackling the computational challenge that the inference and, especially, the training of mod…
Improving the Security of the IEEE 802.15.6 Standard for Medical BANs
Muhammad Ali Siddiqi, Georg Hahn, Said Hamdioui +2
A Medical Body Area Network (MBAN) is an ensemble of collaborating, potentially heterogeneous, medical devices located inside, on the surface of or around the human body with the o…
EDEN: A high-performance, general-purpose, NeuroML-based neural simulator
Sotirios Panagiotou, Harry Sidiropoulos, Mario Negrello +2
Modern neuroscience employs in silico experimentation on ever-increasing and more detailed neural networks. The high modelling detail goes hand in hand with the need for high model…
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Stefan Zwaard, Henk-Jan Boele, Hani Alers +3
Distributed machine learning is becoming a popular model-training method due to privacy, computational scalability, and bandwidth capacities. In this work, we explore scalable dist…
Real-Time Face and Landmark Localization for Eyeblink Detection
Paul Bakker, Henk-Jan Boele, Zaid Al-Ars +1
Pavlovian eyeblink conditioning is a powerful experiment used in the field of neuroscience to measure multiple aspects of how we learn in our daily life. To track the movement of t…
IMDfence: Architecting a Secure Protocol for Implantable Medical Devices
Muhammad Ali Siddiqi, Christian Doerr, Christos Strydis
Over the past decade, focus on the security and privacy aspects of implantable medical devices (IMDs) has intensified, driven by the multitude of cybersecurity vulnerabilities foun…
Towards Realistic Battery-DoS Protection of Implantable Medical Devices
Muhammad Ali Siddiqi, Christos Strydis
Modern Implantable Medical Devices (IMDs) feature wireless connectivity, which makes them vulnerable to security attacks. Particular to IMDs is the battery Denial-of-Service attack…
IMD Security vs. Energy: Are We Tilting at Windmills?: POSTER
Muhammad Ali Siddiqi, Christos Strydis
Implantable Medical Devices (IMDs) such as pacemakers and neurostimulators are highly constrained in terms of energy. In addition, the wireless-communication facilities of these de…
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations
Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja +8
Objective: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of suc…