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FPGA-based biophysically-meaningful modeling of olivocerebellar neurons 14

FPGA-based biophysically-meaningful modeling of olivocerebel...

引用

2014 ACM/SIGDA International Symposium on Field programmable Gate Arrays, FPGA 2014

作者： Smaragdos, Georgios Isaza, Sebastian Van Eijk, Martijn Sourdis, Ioannis Strydis, Christos Dept. of Neuroscience Erasmus Medical Center Rotterdam Netherlands Dept. de Ingeniería Electrónica Universidad de Antioquia UdeA Medellín Colombia Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Dept. of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9781450326711

The Inferior-Olivary nucleus (ION) is a well-charted region of the brain, heavily associated with sensorimotor control of the body. It comprises ION cells with unique properties which facilitate sensory processing and motor-learning skills. Various simulation models of ION-cell networks have been written in an attempt to unravel their mysteries. However, simulations become rapidly intractable when biophysically plausible models and meaningful network sizes (100 cells) are modeled. To overcome this problem, in this work we port a highly detailed ION cell network model, originally coded in Matlab, onto an FPGA chip. It was first converted to ANSI C code and extensively profiled. It was, then, translated to HLS C code for the Xilinx Vivado toolflow and various algorithmic and arithmetic optimizations were applied. The design was implemented in a Virtex 7 (XC7VX485T) device and can simulate a 96-cell network at real-time speed, yielding a speedup of 700 compared to the original Matlab code and 12.5 compared to the reference C implementation running on a Intel Xeon 2.66GHz machine with 20GB RAM. For a 1,056-cell network (non-real-time), an FPGA speedup of 45 against the C code can be achieved, demonstrating the design's usefulness in accelerating neuroscience research. Limited by the available on-chip memory, the FPGA can maximally support a 14,400-cell network (non-real-time) with online parameter configurability for cell state and network size. The maximum throughput of the FPGA IONnetwork accelerator can reach 2.13 GFLOPS.

关键词： Neural networks

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Feature selection algorithms applied to parkinson’s disease 2

引用

2nd International Symposium on Medical Data Analysis, ISMDA 2001

作者： Navío, M. Aguilera, J.J. Del Jesus, M.J. González, R. Herrera, F. Iríbar, C. Ramóny Cajal Hospital Madrid Spain Dept. of Computer Science University of Jaén Jaén23071 Spain Dept. of Medicine University of Granada Granada18071 Spain Dept. of Computer Science and A.I University of Granada Granada18071 Spain Institute of Neuroscience University of Granada Granada18071 Spain

ISBN: (纸本)3540427341

In Parkinson’s Disease an analysis of Medical Data could highlight some symptoms, which can be used as a complementary tool in an early diagnosis. This paper analyses some Filter and Wrapper Feature Selection Algorithms and combinations of them that determine some relevant features in relation to this problem. The experimentation carried out with a data set of patients allows us to determine a set of different premorbid personality traits that can be considered in the early diagnosis of Parkinsonism. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Diagnosis

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Understanding features on evolutionary policy optimizations: Feature learning difference between gradient-based and evolutionary policy optimizations 20

Understanding features on evolutionary policy optimizations:...

引用

35th Annual ACM Symposium on Applied Computing, SAC 2020

作者： Lee, Sangyeop Ha, Myoung Hoon Moon, Byoungro Dept. of Computer Science and Engineering Seoul National University Seoul Korea Republic of Center for Neuroscience-inspired Artificial Intelligence KAIST Daejeon Korea Republic of

ISBN: (纸本)9781450368667

We analyze two deep reinforcement learning algorithms, gradient-based policy optimization and evolutionary one, by a number of visualization techniques and supplement experiments. As such techniques, filter visualization and saliency map are used to examine whether meaningful features properly extracted in the two algorithms. In addition to visual analysis, some experiments are devised to enhance the validity of the analysis. We observed that an evolutionary policy optimization tends to make use of the prior knowledge and learn the prior action distribution of the policy by a powerful exploration ability, which a gradient-based algorithm cannot do easily. © 2020 ACM.

关键词： Reinforcement learning

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Real-time olivary neuron simulations on dataflow computing machines

Real-time olivary neuron simulations on dataflow computing m...

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29th International Supercomputing Conference, ISC 2014

作者： Smaragdos, Georgios Davies, Craig Strydis, Christos Sourdis, Ioannis Ciobanu, CǍtǍlin Mencer, Oskar De Zeeuw, Chris I. Dept. of Neuroscience Erasmus Medical Center Rotterdam Netherlands Netherlands Institute for Neuroscience Amsterdam Netherlands Maxeler Technologies Inc. United Kingdom Imperial College London United Kingdom Dept. of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9783319075174

The Inferior-Olivary nucleus (ION) is a well-charted brain region, heavily associated with the sensorimotor control of the body. It comprises neural cells with unique properties which facilitate sensory processing and motor-learning skills. Simulations of such neurons become rapidly intractable when biophysically plausible models and meaningful network sizes (at least in the order of some hundreds of cells) are modeled. To overcome this problem, we accelerate a highly detailed ION network model using a Maxeler Dataflow Computing Machine. The design simulates a 330-cell network at real-time speed and achieves maximum throughputs of 24.7 GFLOPS. The Maxeler machine, integrating a Virtex-6 FPGA, yields speedups of ×92-102, and ×2-8 compared to a reference-C implementation, running on a Intel Xeon 2.66GHz, and a pure Virtex-7 FPGA implementation, respectively. © 2014 Springer International Publishing.

关键词： Field programmable gate arrays (FPGA)

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A dynamic configuration architecture

A dynamic configuration architecture

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2004 IEEE/IFIP Network Operations and Management Symposium: Managing Next Generation Convergence Networks and Services, NOMS 2004

作者： Aagesen, Finn Arve Anutariya, Chutiporn Shiaa, Mazen Malek Helvik, Bjarne E. Supadulchai, Paramai Dept. of Telematics Norwegian Univ. of Sci. and Technol. Norway Computer Science Program Shinawatra University Thailand

A formal framework for dynamic configuration and reconfiguration of services in Telematics Architecture for Plug-and-Play (TAPAS) systems was developed. It provides representation, computation and reasoning mechanisms for semantic description and matching of required and offered capabilities and status required by a particular service system. The framework employs CIM and recently developed languages for the Semantic Web in order to provide a mechanism for human-readable and machine-comprehensible descriptions of status, capabilities, system reconfiguration plans and exchanging messages. Service installer installs a service into the system by creating corresponding actors for execution of certain roles according to obtained play configuration.

关键词： Telecommunication services

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Identification of Cancer Biomarkers for Multi-class Diagnostics through Network Analysis of RNAseq Data of Tumor-Educated Platelets

Identification of Cancer Biomarkers for Multi-class Diagnost...

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Toccacieli, Ali Petti, Manuela Sapienza University of Rome MSc Program in Engineering in Computer Science Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9781665468190

Tumor-educated platelets (TEPs) are circulating blood cells with a distinct tumor-driven phenotype and act as carriers and protectors of metastases. To date, some studies have shown that the TEPs transcriptome can be used for cancer diagnostics. The objective of this study is to propose a procedure based on differential gene expression and differential gene co-expression analyses to identify a set of key genes for multi-class cancer diagnostics. To reach this aim, we analyzed RNA-seq data (57736 genes) of 130 subjects, of whom 40 patients with glioblastoma multiforme (GBM), 35 patients with pancreatic adenocarcinoma (PAAD), and 55 healthy donors (HC). We focused our analysis on the subset of differentially expressed genes (DEGs), and we used these genes to build and analyze the differential co-expression networks, identifying the hub genes. With this procedure, we obtained a restricted set of DEGs that maximize the accuracy in classifying patients according to their conditions (GBM, PAAD, or HC). Indeed, we validated our results by comparing the achieved classification accuracy with that resulting from random selections of DEGs and we obtained that genes selected by differential co-expression (DCE) network analysis have greater predictive power than any other set of differentially expressed genes, including using all of them. © 2022 IEEE.

关键词： Platelets

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Detecting and Eliminating Cardiac Artifact from Endovascular EEG Signals 46

Detecting and Eliminating Cardiac Artifact from Endovascular...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Sreekantham, Shreya Chetty, Nikole Weber, Douglas J. Carnegie Mellon University Dept. of Computer Science Pittsburgh United States Carnegie Mellon University Dept. of Mechanical Engineering Pittsburgh United States Carnegie Mellon University Dept. of Mechanical Engineering Neuroscience Institute Pittsburgh United States

ISBN: (纸本)9798350371499

Paralysis is a debilitating condition that affects more than 5.4 million people in the U.S. In severe cases, the paralyzed patient is incapable of communication. Restoring this communication is a primary goal of caretakers and is critical to improving the patient's quality of life. Brain-computer interfaces (BCIs) that directly access signals from the motor cortex are a promising method of circumventing the condition causing paralysis, typically using machine learning (ML) to predict motor intent from brain signals. However, BCIs are highly invasive and subjects have primarily been limited to patients with mild to moderate paralysis. The Stentrode is a novel technology that records electroencephalographic (EEG) signals via an electrode array placed endovascularly in the superior sagittal sinus. The first clinical trials of this technology aim to enable digital communication for severely paralyzed patients, translating brain signals from attempted movements into computer control inputs like mouse clicks. However, recordings of EEG are often contaminated with artifacts, including biopotentials arising from other excitable tissues, such as the heart and skeletal muscle. This study characterizes the electrocardiographic (ECG) artifact detected in the Stentrode recordings and proposes an automated Independent Component Analysis (ICA) method for removing this artifact. We compare the effectiveness of this method to previous methods for removal. Quantifying and eliminating the cardiac artifact is critical to accurately decode signals from the motor cortex and restore patients' ability to communicate. © 2024 IEEE.

关键词： Brain computer interface

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1-2PC: The one-two phase atomic commit protocol

1-2PC: The one-two phase atomic commit protocol

引用

Applied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing

作者： Al-Houmaily, Yousef J. Chrysanthis, Panos K. Dept. of Computer Program Institute of Public Administration Riyadh 11141 Saudi Arabia Department of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States

This paper proposes a one-phase, two-phase commit (1-2PC) protocol that can be used to atomically commit Internet transactions distributed across sites in a wide area network. The 1-2PC protocol is characterized by its ability to dynamically select between one-phase and two-phase atomic commit protocols depending on the behavior of transactions and the system requirements. Thus, it offers the performance advantages of the one-phase atomic commit protocol whenever possible, while still providing the wide applicability of the two-phase commit protocol. This is achieved in spite of the incompatibilities between one-phase and two-phase commit protocols that lead to the general practice of having to adopt a single atomic commit protocol in any distributed database system.

关键词： Network protocols

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Feeling the Groove: Identification of Bass patterns from polyphonic audio 22

Feeling the Groove: Identification of Bass patterns from pol...

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22nd IEEE International Conference on Communication Technology, ICCT 2022

作者： Mukherjee, Himadri Marciano, Matteo Dhar, Ankita Roy, Kaushik West Bengal State University Dept. of Computer Science India Music Program New York University Abu Dhabi Gazelien Records Lab Dept. of Arts and Humanities United Arab Emirates Brainware University Dept. of Computational Science India

ISBN: (纸本)9781665470674

Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification. © 2022 IEEE.

关键词： Music

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Improving the recall of context-sensitive spelling correction by loosening the case-particle constraints

Improving the recall of context-sensitive spelling correctio...

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2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014

作者： Choi, Hyun Soo Yoon, Aesun Kwon, Hyuk-Chul Dept. of Computer Science Pusan National University Busan Korea Republic of Dept. of French Interdisciplinary Program for Cognitive Science Pusan National University Busan Korea Republic of School of Electrical and Computer Engineering Pusan National University Busan Korea Republic of

ISBN: (纸本)1601322763

The most common method for detection and correction of spelling errors in Korean Spelling and Grammar Checker (KSGC) depends largely on the linguistic rules. Rule-based methods yield very high precision, but extremely low recall because the constituents of the rules should be matched exactly. In this paper, we propose two novel methods that can loosen the case-particle constraints of KSGC’s existing rules, in order to improve the recall of Context-Sensitive Spelling Correction: (1) substitution of each case-particle by adding auxiliary particles or particle-compounds;(2) omission of case-particles. ©2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP *** right reserved.

关键词： Artificial intelligence

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