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C. Strydis

14 records found

Accelerating Real-Time Voltage Imaging

A Modular, GPU-Accelerated Framework for High-Speed Neural Signal Extraction

This thesis addresses the critical challenge of real-time spike extraction from high- throughput voltage imaging data, often overwhelming existing analysis pipelines de- spite advancements in genetically encoded voltage indicators and imaging hardware. A novel hybrid processing p ...

Identifying and Modulating Pathological Brain Connectivity: A Computational Approach

Patient-Specific, Virtual Brain Twins and Network Neuromodulation

Neuromodulation is a promising treatment methodology for disorders of the brain. However, current clinical applications are primarily focused on a rudimentary form of neuromodulation, exclusively targeting individual regions in the brain. This has led to limitations in effective ...

Extending the Computing Capabilities of Neural Interfaces

GPU Integration to the ONIX Electrophysiology System

The exponential growth in the scale and complexity of neural recording systems demands increasingly efficient computational frameworks to manage the vast data generated by modern multi-electrode ar- rays. This thesis explores the feasibility of integrating Graphics Processing Uni ...
The human brain is arguably the most complex system we know of. For centuries, understanding the brain and the way it works has been of great concern to scientists. In 1952, the first mathematical model of a neuron was developed by Hodgkin and Huxley. This work pioneered the fiel ...
This thesis aims to evaluate the viability of using a Field Programmable Gate Array (FPGA) in a neural Implantable Medical Device (IMD). The primary motivation for incorporating FPGAs is their potential to support future functionalities, such as running neural networks for medica ...
Functional ultrasound is by now a well-established technique in the neuroscience community to measure brain activity. However, the transcranial application of functional ultrasound on humans, with the exception of the acoustic windows in the skull, remains a huge challenge becaus ...
Medical Body Area Networks (MBANs) are a cluster of possibly heterogeneous devices, communicating with each other in, on or around the human body. Through these devices, medical data is collected, processed in some way and transferred outside of the network. The IEEE 802.15.6 sta ...
Epilepsy is a medical condition which is caused by excessive or synchronous neuronal activity of the brain cells. These activities can lead to attacks where the patient can lose conciseness or experiences random muscle cramps at seemingly any point in time. Using implantable on b ...
Whisker tracking in rodents is an ongoing research in neuroscience. Neuroscientists have recorded experiments with high-speed cameras in which untrimmed, head-restrained mice are provided with air stimuli. These videos required the development of algorithms to reliably track whis ...
Absence seizures have a real-life impact on epileptic subjects, as day-to-day tasks can by suddenly interrupted making for dangerous situations. Though a lot of work has been done on seizure detection, to limit the impact on epileptic patients, the true necessity lies in timely p ...
In the field of computational neuroscience, complex mathematical models are used to replicate brain behavior with the goal of understanding the biological processes involved. The simulation of such models are computationally expensive and therefore, in recent years, high-performa ...
The increasing transistor density of Integrated Circuits (ICs) ever since their introduction, has scaled the computational performance of microprocessors. As a consequence of the gain in transistor density, the power dissipation density has also increased to a degree that has bec ...

Full-Whisker Tracking System

A new algorithm for accurate whisker tracking in untrimmed head-fixed mice.

The movement of whiskers in head-fixed mice is of high interest for neurological research, as it allows scientists to learn more about learning processes during active touch. However, manual tracking of whiskers in thousands of frames is not feasible, and reliable tracking of ind ...
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 the eyelid during an experiment, researchers traditionally made use of potentiometers or electromyogr ...