Searched for: subject%3A%22Neuron%22
(1 - 20 of 45)

Pages

document
Hettema, Bart (author)
Neuromorphic computing can be used to efficiently implement spiking neural networks.<br/>Such spiking neural networks can be used in edge AI applications, where low power consumption is paramount.<br/>The use of analog components allows for extremely low power implementations.<br/>This thesis contributes the designs of an analog spike generator,...
master thesis 2024
document
van Lith, Niels (author)
The development of neural prostheses, especially those directly targeting the brain, requires extensive research and modelling before clinical trials can be performed. Currently, the resolution of artificial vision is not sufficient for everyday tasks. By studying the expected spatial extent of stimulation, we aim to provide insights to...
master thesis 2024
document
Kuo, Chihao (author)
master thesis 2023
document
Du, Tianyu (author)
Spiking Neural Networks(SNN) have been widely leveraged by neuromorphic systems due to their ability to closely mimic biological neural behavior, where information is exchanged and received between neurons in the form of sparse events(spikes). Such neuromorphic systems are highly energy-efficient because the use of a global clock can be avoided...
master thesis 2023
document
Abunahla, H.N. (author)
contribution to periodical 2023
document
Hoogstrate, Youri (author), Draaisma, Kaspar (author), Barin, N. (author), Taphoorn, Martin J.B. (author), Weyerbrock, Astrid (author), Sanson, Marc (author), Hoeben, Ann (author), Lukacova, Slávka (author), Lombardi, Giuseppe (author), Hanse, Monique (author), Fleischeuer, Ruth E.M. (author), Watts, Colin (author), Angelopoulos, Nicos (author), Gorlia, Thierry (author), Robe, Pierre A. (author), French, P.J. (author)
A better understanding of transcriptional evolution of IDH-wild-type glioblastoma may be crucial for treatment optimization. Here, we perform RNA sequencing (RNA-seq) (n = 322 test, n = 245 validation) on paired primary-recurrent glioblastoma resections of patients treated with the current standard of care. Transcriptional subtypes form an...
journal article 2023
document
Yan, Pumiao (author), Akhoundi, A. (author), Shah, Nishal P. (author), Tandon, Pulkit (author), Muratore, D.G. (author), Chichilnisky, E. J. (author), Murmann, Boris (author)
Future high-density and high channel count neural interfaces that enable simultaneous recording of tens of thousands of neurons will provide a gateway to study, restore and augment neural functions. However, building such technology within the bit-rate limit and power budget of a fully implantable device is challenging. The wired-OR...
journal article 2023
document
Moposita, Tatiana (author), Garzon, Esteban (author), Crupi, Felice (author), Trojman, Lionel (author), Vladimirescu, A. (author), Lanuzza, Marco (author)
This brief deals with the impact of spin-transfer torque magnetic random access memory (STT-MRAM) cell based on double-barrier magnetic tunnel junction (DMTJ) on the performance of a two-layer multilayer perceptron (MLP) neural network. The DMTJ-based cell is benchmarked against the conventional single-barrier MTJ (SMTJ) counterpart by means...
journal article 2023
document
Fonseca Hernandes, V. (author), Greplová, E. (author)
Understanding the information processing in neuronal networks relies on the development of computational models that accurately reproduce their activity data. Machine learning techniques have shown promising results in generating synthetic neuronal data, but interpretability remains an issue due to a large number of parameters requiring...
conference paper 2023
document
Ottati, F. (author), Gao, Chang (author), Chen, Qinyu (author), Brignone, Giovanni (author), Casu, Mario R. (author), Eshraghian, Jason K. (author), Lavagno, Luciano (author)
As deep learning models scale, they become increasingly competitive from domains spanning from computer vision to natural language processing; however, this happens at the expense of efficiency since they require increasingly more memory and computing power. The power efficiency of the biological brain outperforms any large-scale deep...
journal article 2023
document
Eggers, Yvonne (author)
Event cameras and spiking neural networks (SNNs) allow for a highly bio-inspired, low-latency and power efficient implementation of optic flow estimation. Just recently, a hierarchical SNN was proposed in which motion selectivity is learned from raw event data in an unsupervised manner using spike-timing-dependent plasticity (STDP). However,...
master thesis 2022
document
Kostina, Polina (author)
The study of the electrophysiological properties of neurons has reached a new level thanks to recent techniques that combine knowledge from different fields of science. For a method such as all-optical electrophysiology, the quality of cell segmentation in the image has one of the critical roles since the accuracy of illumination and...
bachelor thesis 2022
document
Veldkamp, Dian (author)
The central nervous system has a very limited capacity to regenerate damaged tissue. Therefore, regeneration strategies focus on transplantation of neural stem cells or differentiated neural cells. In order to make such a treatment effective, it is important to understand the mechanisms that enable cell differentiation. It is well known that...
master thesis 2022
document
Batina, Lejla (author), Bhasin, Shivam (author), Jap, Dirmanto (author), Picek, S. (author)
This paper was selected for Top Picks in Hardware and Embedded Security 2020 and it presents a physical side-channel attack aiming at reverse engineering neural networks implemented on an edge device. The attack does not need access to training data and allows for neural network recovery by feeding known random inputs. We successfully reverse...
journal article 2022
document
Castillo Ransanz, Lucía (author), van Altena, P.F.J. (author), Heine, Vivi M. (author), Accardo, A. (author)
The biomechanical properties of the brain microenvironment, which is composed of different neural cell types, the extracellular matrix, and blood vessels, are critical for normal brain development and neural functioning. Stiffness, viscoelasticity and spatial organization of brain tissue modulate proliferation, migration, differentiation, and...
review 2022
document
Tao, Qinghua (author), Li, Zhen (author), Xu, Jun (author), Lin, Shu (author), De Schutter, B.H.K. (author), Suykens, Johan A.K. (author)
Traffic flow (TF) prediction is an important and yet a challenging task in transportation systems, since the TF involves high nonlinearities and is affected by many elements. Recently, neural networks have attracted much attention for TF prediction, but they are commonly black boxes with complex architectures and difficult to be interpreted,...
journal article 2022
document
Revyn, N. (author), Hu, Michel H.Y. (author), Frimat, Jean-Philippe (author), de Wagenaar, B. (author), van den Maagdenberg, Arn M.J.M. (author), Sarro, Pasqualina M (author), Mastrangeli, Massimo (author)
We present preliminary recordings on chip of three-dimensional (3D) electric neuronal activity from cultures of cortical neurons derived from human-induced pluripotent stem cells (hiPSCs). The recordings were obtained through 3D microelectrode arrays (MEAs) composed of truncated, 90 μm-high Si micropyramids endowed with multiple, electrically...
conference paper 2022
document
Varkevisser, F. (author), Rashidi, A. (author), Lopes Marta da Costa, T.M. (author), Giagka, Vasiliki (author), Serdijn, W.A. (author)
This work proposes a guideline for designing more energy-efficient electrical stimulators by analyzing the frequency spectrum of the stimuli. It is shown that the natural low-pass characteristic of the neuron’s membrane limits the energy transfer efficiency from the stimulator to the cell. Thus, to improve the transfer efficiency, it is proposed...
conference paper 2022
document
Wang, H. (author)
The human brain is a natural high-performance computing systemwith outstanding properties, e.g., ultra-low energy consumption, highly parallel information processing, suitability for solving complex tasks, and robustness. As such, numerous attempts have been made to devise neuromorphic systems able to achieve brain-akin computation abilities,...
doctoral thesis 2021
document
del Rivero Cortázar, Aitor (author)
The need to understand how the brain works has sparked interest in electrode arrays to record neural signals. Intracellular recordings with nanoelectrodes that penetrate the cell allow better signal quality and additional functions such as voltage clamping to set the neuron's transmembrane voltage. The voltage clamp aims to facilitate the...
master thesis 2021
Searched for: subject%3A%22Neuron%22
(1 - 20 of 45)

Pages