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Showing 1 to 20 of 55 for “"SNN"”.
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Multiparticle Correlations In Pb--Pb Collisions At \snn=2.76 Tev
<p>Quantum Chromodynamics, which describe the interactions of quarks and gluons, have been found not to violate global parity symmetry. However, the possibility</p> <p> of local parity violations due to transitions in the vacuum state of QCD is not excluded. The effects of these parity violations …
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Design-Space Exploration of Biologically-Inspired SNN Models for Application-Specific Many-Core Systems
In recent years, Spiking Neural Networks (SNNs) have drawn significant attention as a promising route for advancing machine learning models. SNNs are different from traditional neural network architectures in that they replicate the spiking behavior of biological neurons. This research study …
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Direct Jet Reconstruction in Proton-Proton and Copper-Copper Collisions at √sNN = 200 GeV
Collision of heavy nuclei at the Relativistic Heavy Ion Collider (RHIC) recreates the state of high temperature quark-gluon plasma that existed shortly after the Big Bang. Measurement using single particle spectra and two-particle correlation shows that this medium is largely opaque to the transit …
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Measurement of Neutral Mesons in p-Pb collisions at √sNN = 8.16TeV with the ALICE detector
… η mesons are presented for p-Pb collisions at √ sNN = 8.16 TeV using the photon conversion method for the signal extraction. This method uses the tracking and particle identification capabilities of the central barrel detectors of ALICE. Signal extracted down to 0.3 GeV/c and 0.7 GeV/c for π 0 …
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Photoproduction of ηc mesons in ultra-peripheral Pb+Pb collisions at √sNN= 5.02 TeV at the LHC
… generated at CERN's Large Hadron Collider at √sNN = 5:02 TeV provide new data which has been predicted to have a reconstructable signal for the ηc meson. Analysis of ALICE's Run 2 Pb+Pb collision data for evidence of ηc production was performed using nine decay channels of the ηc. STARlight and …
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Estimating Cold Nuclear Matter Effects Using Jets In P-Pb Collisions At √snn = 5.02 Tev With The Alice Detector
… not producing a QGP at this collision energy (√sNN = 5.02 TeV). Presented in this defense are the first measurements of charged + neutral jets in p-Pb collisions using the ALICE detector at the LHC.</p> <p>Measurements of CNM effects are done via the nuclear modification factor for jets: RpPb, …
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Spike-Based Classification of UCI Datasets with Multi-Layer Resume-Like Tempotron
… investigations, spiking neural networks (SNN) can be applied to machine learning problems such as classification and regression. SNN are computationally more powerful per neuron than traditional neural networks. Though training time is slow on general purpose computers, spike-based …
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Developing digital and analog spiking neural Networks for interacting with biological Tissues in the Case Study of temporal lobe Epilepsy
… specifically designing a spiking neural network (SNN) using CMOS integrated circuits (ICs) with memristors to demonstrate its potential for pattern recognition tasks. To facilitate the implementation of the SNN, memristors were chosen as synaptic components due to their emerging properties and …
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Dijet azimuthal correlations and conditional yields in pp and p+Pb collisions at q SNN = 5.02 TeV with the atlas detector
Made available in DSpace on 2019-02-06T19:32:46Z (GMT). No. of bitstreams: 3 KULINICH-DISSERTATION-2018.pdf: 26745656 bytes, checksum: 7acb4d53a1b82cca55823e33dbe232e0 (MD5) LICENSE.txt: 4211 bytes, checksum: 2e3ebeee53f50b60c80be6dcd5685af1 (MD5) PROQUEST_LICENSE.txt: 4557 bytes, checksum: …
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Algorithm Hardware Codesign for High Performance Neuromorphic Computing
… computing and Spiking Neural Network (SNN) have drawn attention as alternative solutions for energy-efficient machine intelligence.</p><p>Though believed promising, neuromorphic computing are hardly used for real world applications. A major problem is that the performance of SNN is …
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(Anti)deuteron production in and out of jets in p–Pb collisions at sqrt(sNN) = 5.02 TeV with the ALICE detector at the LHC [Produzione di (anti)deuteroni dentro e fuori dai jet in collisioni p-Pb a sqrt(sNN) = 5.02 TeV con il detector ALICE a LHC]
Le collisioni tra ioni pesanti ad energie ultra relativistiche sono uno degli strumenti fondamentali per esplorare le condizioni estreme della materia nucleare. Infatti, in queste collisioni, è creato uno stato deconfinato di quark e gluoni, il Quark-Gluon Plasma (QGP). Questo stato della materia …
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Fluctuating Open Heavy Flavour Energy Loss in a Strongly Coupled Plasma with Observables from RHIC and the LHC
… are presented for collision energies √ sNN = 2.76 TeV for central collisions and √ sNN = 5.5 TeV for various centrality classes. There are some uncertainties in terms of how we phenomenologicaly apply energy loss calculations computed in AdS/CFT. One uncertainty is related to how the …
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Comprehensive Study of Identified Hadron Spectra, π± , K± and p(p̄) in PbPb Collisions at √sNN= 5.36 TeV with the ALICE Detector at CERN
… at a center √of mass energy per nucleon pair of sNN = 5.36 TeV. A dedicated analysis framework was developed to extract particle yields by employing information from the Time Projection Chamber (TPC) and Time of Flight (TOF) detectors, enabling robust particle species separation over a broad …
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Spiking Neural Network Framework for Brain Computer Interfaces
… focus of this thesis. Spiking neural network (SNN) communicates via spikes and is a suitable model to study the spiking aspect of EEG-based BCI systems. Electroencephalography recordings are often time consuming, and artifacts cause further rejection of these recorded samples. To overcome this, …
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DIRECTED AND ELLIPTIC FLOW MEASUREMENTS: A COMPARISON BETWEEN THE PARTICIPANT AND SPECTATOR PLANES IN Pb+Pb COLLISIONS AT √sNN = 5.02 TeV WITH CMS AT THE LHC
… (η) in ultra-relativistic PbPb collisions at √sNN = 5.02 TeV with the Large Hadron Collider (LHC) at CERN. The reaction plane (RP) angle is approximated using participants and spectator neutrons measured with the Compact Muon Solenoid (CMS) detector and the newly installed Spectator Reaction …
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Energy-efficient Neuromorphic Computing for Resource-constrained Internet of Things Devices
… the construction of a spiking neural network (SNN) capable of being deployed onto the designated neuromorphic hardware. This dissertation presents a range of methodologies aimed at enhancing the precision and energy efficiency of SNNs. To be more precise, these advancements are achieved by …
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A Back Propagation Based Spiking Neural Network Approach for Intelligent Link Decisions In Satellite Communication
A Spiking Neural Network (SNN) with neuromorphic architecture for optimal link decisions is put forward in this paper. SNNs can adapt to the various changes in the working environment quickly, for maintenance or advancement of the selected performance metrics. Such results can be appealing for …
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Spiking neural networks and their applications
… now under development. Spiking neural networks (SNNs) seek to improve on previous generations in two ways: by using a more biologically-inspired neuron, they are shown to be capable of more complex calculations; incorporating polychronous properties of highly-recurrent networks with delays of …
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Spiking Neural Networks for Low-Power Medical Applications
… of continuous values, spiking neural networks (SNN) may be the right model architecture to address these concerns. This work investigates the proposed advantages of SNNs compared to more traditional architectures when tested on various medical datasets. We compare the energy efficiency of SNN …
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Efficient Implementation of Stochastic Inference on Heterogeneous Clusters and Spiking Neural Networks
… and by developing spiking neural networks (SNN) for native and ultra-low power implementation. In this regard, an extendable high-performance computing (HPC) framework and optimizations are proposed for heterogeneous clusters to modularize complex neuromorphic applications in a distributed …
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