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Articles de revues sur le sujet « Local decoding »

Auteur : Grafiati

Publié le 25 mai 2024

Mis à jour le 31 juillet 2025

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1

Zhu, Kun, and Hongwen Yang. "Two-Phase Globally Coupled Low-Density Parity Check Decoding Aided with Early Termination and Forced Convergence." Sensors 24, no. 21 (2024): 6893. http://dx.doi.org/10.3390/s24216893.

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To enhance the decoding efficiency of Globally Coupled (GC) LDPC codes, we incorporated Early Termination (ET) and Forced Convergence (FC) into the local/global two-phase decoding algorithm to expedite the decoding process. The two-phase decoding scheme integrates the ET technique to halt unnecessary iterations in the local decoding phase while employing the FC technique to accelerate convergence in the global phase decoding. The application of ET technology in the local decoding of GC-LDPC codes will not cause performance loss as in traditional block codes and will cause considerable complexi

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Jackson, Andrew, and Thomas M. Hall. "Decoding Local Field Potentials for Neural Interfaces." IEEE Transactions on Neural Systems and Rehabilitation Engineering 25, no. 10 (2017): 1705–14. http://dx.doi.org/10.1109/tnsre.2016.2612001.

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Scruby, T. R., and K. Nemoto. "Local Probabilistic Decoding of a Quantum Code." Quantum 7 (August 29, 2023): 1093. http://dx.doi.org/10.22331/q-2023-08-29-1093.

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flip is an extremely simple and maximally local classical decoder which has been used to great effect in certain classes of classical codes. When applied to quantum codes there exist constant-weight errors (such as half of a stabiliser) which are uncorrectable for this decoder, so previous studies have considered modified versions of flip, sometimes in conjunction with other decoders. We argue that this may not always be necessary, and present numerical evidence for the existence of a threshold for flip when applied to the looplike syndromes of a three-dimensional toric code on a cubic lattice

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Hu, Lehua. "Coding and Decoding Optimization of Remote Video Surveillance Systems." International Journal of Grid and High Performance Computing 15, no. 2 (2023): 1–15. http://dx.doi.org/10.4018/ijghpc.318405.

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In order to solve the problems of high distortion rate and low decoding efficiency of the decoded video when the current coding and decoding methods are used to encode and decode the remote video monitoring system, considering the local area network, research on the optimization method of the coding and decoding of the remote video monitoring system is proposed. The local area network is used to collect image information, to process, and to output the image information. By preprocessing the remote video monitoring system, the low frame rate remote video monitoring system is decoded in parallel

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Islam, Mohammad S., Khondaker A. Mamun, and Hai Deng. "Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks." Computational Intelligence and Neuroscience 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/5151895.

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Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. This study explores using recorded deep brain local field potentials (LFPs) for robust movement decoding of Parkinson’s disease (PD) and Dystonia patients. The LFP data from voluntary movement activities such as left and right hand index finger clicking were recorded from patients who underwent surgeries for implantation of deep brain stimulation ele

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Escolà-Farràs, Llorenç, Jaròn Has, Maris Ozols, Christian Schaffner, and Mehrdad Tahmasbi. "Parallel repetition of local simultaneous state discrimination." Quantum 9 (April 15, 2025): 1706. https://doi.org/10.22331/q-2025-04-15-1706.

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Local simultaneous state discrimination (LSSD) is a recently introduced problem in quantum information processing. Its classical version is a non-local game played by non-communicating players against a referee. Based on a known probability distribution, the referee generates one input for each of the players and keeps one secret value. The players have to guess the referee&apos;s value and win if they all do so. For this game, we investigate the advantage of no-signalling strategies over classical ones. We show numerically that for three players and binary values, no-signalling strategies

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Adjemov, S. S., A. I. Kostogryzov, and A. O. Atakishchev. "METAGRAMMATICAL MODEL AND METHOD OF DECODING THE VIDEOGRAPHICAL INFORMATION WITH PREFIX COMPRESSION CODES." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 24–33. http://dx.doi.org/10.14489/vkit.2020.07.pp.024-033.

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In the article, a metagrammatic model and the local-frequency decoding method are proposed to solve the problem of decoding videographic information with prefix compression codes. The metagrammatic model is presented as a five – level stochastic metagrammatics that allows us to take into account the structural and statistical features of prefix coded data and use them to improve the decoding efficiency. It is shown that only regular Chomsky grammars can be used in the proposed stochastic metagrammatics. The model uses a combined metagrammatics scheme with matching rules such as “terminal – ini

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Adjemov, S. S., A. I. Kostogryzov, and A. O. Atakishchev. "METAGRAMMATICAL MODEL AND METHOD OF DECODING THE VIDEOGRAPHICAL INFORMATION WITH PREFIX COMPRESSION CODES." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 24–33. http://dx.doi.org/10.14489/vkit.2020.07.pp.024-033.

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In the article, a metagrammatic model and the local-frequency decoding method are proposed to solve the problem of decoding videographic information with prefix compression codes. The metagrammatic model is presented as a five – level stochastic metagrammatics that allows us to take into account the structural and statistical features of prefix coded data and use them to improve the decoding efficiency. It is shown that only regular Chomsky grammars can be used in the proposed stochastic metagrammatics. The model uses a combined metagrammatics scheme with matching rules such as “terminal – ini

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Wang, Yong, Yuting Wang, and Yuyan Han. "A Variant Iterated Greedy Algorithm Integrating Multiple Decoding Rules for Hybrid Blocking Flow Shop Scheduling Problem." Mathematics 11, no. 11 (2023): 2453. http://dx.doi.org/10.3390/math11112453.

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This paper studies the hybrid flow shop scheduling problem with blocking constraints (BHFSP). To better understand the BHFSP, we will construct its mixed integer linear programming (MILP) model and use the Gurobi solver to demonstrate its correctness. Since the BHFSP exists parallel machines in some processing stages, different decoding strategies can obtain different makespan values for a given job sequence and multiple decoding strategies can assist the algorithm to find the optimal value. In view of this, we propose a hybrid decoding strategy that combines both forward decoding and backward

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Wang, Haidong, Jianhua Zhang, Qia Shan, Pengfei Xiao, and Ao Liu. "Visual Information Decoding Based on State-Space Model with Neural Pathways Incorporation." Electronics 14, no. 11 (2025): 2245. https://doi.org/10.3390/electronics14112245.

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In contemporary visual decoding models, traditional neural network-based methods have made some advancements; however, their performance in addressing complex visual tasks remains constrained. This limitation is primarily due to the restrictions of local receptive fields and their inability to effectively capture visual information, resulting in the loss of essential contextual details. Visual processing in the brain initiates in the retina, where information is transmitted via the optic nerve to the lateral geniculate nucleus (LGN) and subsequently progresses along the ventral pathway for lay

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Baranov, Pavel V., John F. Atkins, and Martina M. Yordanova. "Augmented genetic decoding: global, local and temporal alterations of decoding processes and codon meaning." Nature Reviews Genetics 16, no. 9 (2015): 517–29. http://dx.doi.org/10.1038/nrg3963.

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Prakash, Surya S., J. Patrick Mayo, and Supratim Ray. "Decoding of attentional state using local field potentials." Current Opinion in Neurobiology 76 (October 2022): 102589. http://dx.doi.org/10.1016/j.conb.2022.102589.

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Gur, Tom, and Oded Lachish. "On the Power of Relaxed Local Decoding Algorithms." SIAM Journal on Computing 50, no. 2 (2021): 788–813. http://dx.doi.org/10.1137/19m1307834.

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Hanks, Michael, William J. Munro, and Kae Nemoto. "Decoding Quantum Error Correction Codes With Local Variation." IEEE Transactions on Quantum Engineering 1 (2020): 1–8. http://dx.doi.org/10.1109/tqe.2020.2967890.

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Didier, Gilles, Ivan Laprevotte, Maude Pupin, and Alain Hénaut. "Local Decoding of Sequences and Alignment-Free Comparison." Journal of Computational Biology 13, no. 8 (2006): 1465–76. http://dx.doi.org/10.1089/cmb.2006.13.1465.

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Battineni, Sudiksha, Sophia Solomon, Meghan Leonard, Lauren Yu, and Emily Brissenden. "Decoding the Diet of a Local Owl Population." Morganton Scientific 1 (June 27, 2024): 10–14. http://dx.doi.org/10.62329/ekrd3854.

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Populations of owl species are in danger due to declining habitat. Owls play an essential role in maintaining the local rodent population, which aids in preventing the spread of disease. To better understand the local rodent population and its potential for disease transmission, owl pellets were collected from an abandoned building that was soon to undergo renovation in Burke County, NC. Over two years, 12 pellets were dissected, with eight pellets dissected in the first year and the remaining four in the second year. These pellets were dissected under a biological safety cabinet, resulting in

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Levy, N., and S. Shamai. "Clustered Local Decoding for Wyner-Type Cellular Models." IEEE Transactions on Information Theory 55, no. 11 (2009): 4967–85. http://dx.doi.org/10.1109/tit.2009.2030472.

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Esmaeili, M., A. Alampour, and T. A. Gulliver. "Decoding Binary Linear Block Codes Using Local Search." IEEE Transactions on Communications 61, no. 6 (2013): 2138–45. http://dx.doi.org/10.1109/tcomm.2013.041113.120057.

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Paddison, Ronan. "Decoding Decentralisation: The Marketing of Urban Local Power?" Urban Studies 36, no. 1 (1999): 107–19. http://dx.doi.org/10.1080/0042098993763.

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Bafna, Mitali, Srikanth Srinivasan, and Madhu Sudan. "Local decoding and testing of polynomials over grids." Random Structures & Algorithms 57, no. 3 (2020): 658–94. http://dx.doi.org/10.1002/rsa.20933.

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Geng, Junhao, Dongyao Jia, Zihao He, Nengkai Wu, and Ziqi Li. "Enhanced Conformer-Based Speech Recognition via Model Fusion and Adaptive Decoding with Dynamic Rescoring." Applied Sciences 14, no. 24 (2024): 11583. https://doi.org/10.3390/app142411583.

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Speech recognition is widely applied in fields like security, education, and healthcare. While its development drives global information infrastructure and AI strategies, current models still face challenges such as overfitting, local optima, and inefficiencies in decoding accuracy and computational cost. These issues cause instability and long response times, hindering AI’s competitiveness. Therefore, addressing these technical bottlenecks is critical for advancing national scientific progress and global information infrastructure. In this paper, we propose improvements to the model structure

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Kovalev, Alexey A., and Leonid P. Pryadko. "Spin glass reflection of the decoding transition for quantum error correcting codes." Quantum Information and Computation 15, no. 9&10 (2015): 825–52. http://dx.doi.org/10.26421/qic15.9-10-5.

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We study the decoding transition for quantum error correcting codes with the help of a mapping to random-bond Wegner spin models. Families of quantum low density parity-check (LDPC) codes with a finite decoding threshold lead to both known models (e.g., random bond Ising and random plaquette $\Z2$ gauge models) as well as unexplored earlier generally non-local disordered spin models with non-trivial phase diagrams. The decoding transition corresponds to a transition from the ordered phase by proliferation of ``post-topological'' extended defects which generalize the notion of domain walls to n

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Deng, Li, Zhiping Shi, Yixin Wang, Xiaoxi Yu, Yong Liang Guan, and Zhiping Xu. "Hybrid Window Decoding for Joint Source Channel Anytime Coding System." Entropy 26, no. 11 (2024): 940. http://dx.doi.org/10.3390/e26110940.

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Joint source channel anytime coding (JSCAC) is a kind of joint source channel coding (JSCC) systems based on the causal spatially coupled coding and joint expanding window decoding (JEWD) techniques. JSCAC demonstrates greatly improved error correction performance, as well as higher decoding complexity. This work proposes a joint hybrid window decoding (JHWD) algorithm for JSCAC systems, aiming to reduce the decoding complexity while maintaining comparable error correction performance with the state of the art. Unlike the traditional JEWD technique and its variants, the proposed JHWD algorithm

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Kopylov, Dmitriy, Mark Mendelson, Vadim Egorov, and Vladimir Lyutin. "Decoding LDPC Codes with a Regular Check Matrix Structure Using the Bit Flip Method." Telecom IT 12, no. 1 (2024): 40–56. http://dx.doi.org/10.31854/2307-1303-2024-12-1-40-56.

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Problem statement: low-density LDPC codes have become very popular in modern communication systems, which make it possible to implement decoders for them in practice. In conditions of severe limitations of equipment performance, the task of searching and researching the characteristics of decoding algorithms for these codes is urgent. The aim of the work is to find a simplified algorithm for decoding LDPC codes and to study the noise immunity of the proposed algorithm. The methods used: to solve this problem computer simulation is used to compare the noise immunity of known decoding algorithms

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Liu, Xin, Chi Ren, Zhisheng Huang, et al. "Decoding of cortex-wide brain activity from local recordings of neural potentials." Journal of Neural Engineering 18, no. 6 (2021): 066009. http://dx.doi.org/10.1088/1741-2552/ac33e7.

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Abstract Objective. Electrical recordings of neural activity from brain surface have been widely employed in basic neuroscience research and clinical practice for investigations of neural circuit functions, brain–computer interfaces, and treatments for neurological disorders. Traditionally, these surface potentials have been believed to mainly reflect local neural activity. It is not known how informative the locally recorded surface potentials are for the neural activities across multiple cortical regions. Approach. To investigate that, we perform simultaneous local electrical recording and w

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Halabi, Nissim, and Guy Even. "On Decoding Irregular Tanner Codes With Local-Optimality Guarantees." IEEE Transactions on Information Theory 60, no. 1 (2014): 191–211. http://dx.doi.org/10.1109/tit.2013.2284912.

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Flint, Robert D., Christian Ethier, Emily R. Oby, Lee E. Miller, and Marc W. Slutzky. "Local field potentials allow accurate decoding of muscle activity." Journal of Neurophysiology 108, no. 1 (2012): 18–24. http://dx.doi.org/10.1152/jn.00832.2011.

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Local field potentials (LFPs) in primary motor cortex include significant information about reach target location and upper limb movement kinematics. Some evidence suggests that they may be a more robust, longer-lasting signal than action potentials (spikes). Here we assess whether LFPs can also be used to decode upper limb muscle activity, a complex movement-related signal. We record electromyograms from both proximal and distal upper limb muscles from monkeys performing a variety of reach-to-grasp and isometric wrist force tasks. We show that LFPs can be used to decode activity from both pro

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Even, Guy, and Nissim Halabi. "Local-Optimality Guarantees Based on Paths for Optimal Decoding." SIAM Journal on Discrete Mathematics 27, no. 4 (2013): 2049–63. http://dx.doi.org/10.1137/120886674.

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Didier, Gilles, Eduardo Corel, Ivan Laprevotte, Alex Grossmann, and Claudine Landès-Devauchelle. "Variable length local decoding and alignment-free sequence comparison." Theoretical Computer Science 462 (November 2012): 1–11. http://dx.doi.org/10.1016/j.tcs.2012.08.005.

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Marletto, Chiara, Alastair Kay, and Artur Ekert. "How to counteract systematic errors in quantum state transfer." Quantum Information and Computation 12, no. 7&8 (2012): 648–60. http://dx.doi.org/10.26421/qic12.7-8-9.

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In the absence of errors, the dynamics of a spin chain, with a suitably engineered local Hamiltonian, allow the perfect, coherent transfer of a quantum state over large distances. Here, we propose encoding and decoding procedures to recover perfectly from low rates of systematic errors. The encoding and decoding regions, located at opposite ends of the chain, are small compared to the length of the chain, growing linearly with the size of the error. We also describe how these errors can be identified, again by only acting on the encoding and decoding regions.

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Lu, Yiqin, Weiyue Su, and Jiancheng Qin. "LDPC Decoding on GPU for Mobile Device." Mobile Information Systems 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7048482.

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A flexible software LDPC decoder that exploits data parallelism for simultaneous multicode words decoding on the mobile device is proposed in this paper, supported by multithreading on OpenCL based graphics processing units. By dividing the check matrix into several parts to make full use of both the local memory and private memory on GPU and properly modify the code capacity each time, our implementation on a mobile phone shows throughputs above 100 Mbps and delay is less than 1.6 millisecond in decoding, which make high-speed communication like video calling possible. To realize efficient so

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Bansal, Arjun K., Carlos E. Vargas-Irwin, Wilson Truccolo, and John P. Donoghue. "Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices." Journal of Neurophysiology 105, no. 4 (2011): 1603–19. http://dx.doi.org/10.1152/jn.00532.2010.

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A prominent feature of motor cortex field potentials during movement is a distinctive low-frequency local field potential ( lf-LFP) (<4 Hz), referred to as the movement event-related potential (mEP). The lf-LFP appears to be a global signal related to regional synaptic input, but its relationship to nearby output signaled by single unit spiking activity (SUA) or to movement remains to be established. Previous studies comparing information in primary motor cortex (MI) lf-LFPs and SUA in the context of planar reaching tasks concluded that lf-LFPs have more information than spikes about moveme

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Massarczyk, M., T. Rudack, J. Schlitter, J. Kuhne, C. Kötting, and K. Gerwert. "Local Mode Analysis: Decoding IR Spectra by Visualizing Molecular Details." Journal of Physical Chemistry B 121, no. 15 (2017): 3483–92. http://dx.doi.org/10.1021/acs.jpcb.6b09343.

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deMarti iOlius, Antonio, Patricio Fuentes, Román Orús, Pedro M. Crespo, and Josu Etxezarreta Martinez. "Decoding algorithms for surface codes." Quantum 8 (October 10, 2024): 1498. http://dx.doi.org/10.22331/q-2024-10-10-1498.

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Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods. Unfortunately, the unstable nature of quantum information makes it prone to errors. For this reason, quantum error correction is an invaluable tool to make quantum information reliable and enable the ultimate goal of fault-tolerant quantum computing. Surface codes currently stand as the most promising candidates to build near term error corrected qubits given their two-dimensional architecture, the requirement of only local oper

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Zhang, Ji, Baoming Bai, Xijin Mu, Hengzhou Xu, Zhen Liu, and Huaan Li. "Construction and Decoding of Rate-Compatible Globally Coupled LDPC Codes." Wireless Communications and Mobile Computing 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/4397671.

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This paper presents a family of rate-compatible (RC) globally coupled low-density parity-check (GC-LDPC) codes, which is constructed by combining algebraic construction method and graph extension. Specifically, the highest rate code is constructed using the algebraic method and the codes of lower rates are formed by successively extending the graph of the higher rate codes. The proposed rate-compatible codes provide more flexibility in code rate and guarantee the structural property of algebraic construction. It is confirmed, by numerical simulations over the AWGN channel, that the proposed co

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Lei, Yanchao, Meilin He, Huina Song, et al. "A Deep-Neural-Network-Based Decoding Scheme in Wireless Communication Systems." Electronics 12, no. 13 (2023): 2973. http://dx.doi.org/10.3390/electronics12132973.

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With the flourishing development of wireless communication, further challenges will be introduced by the future demands of emerging applications. However, in the face of more complex communication scenarios, favorable decoding results may not be yielded by conventional channel decoding schemes based on mathematical models. The remarkable contributions of deep neural networks (DNNs) in various fields have garnered widespread recognition, which has ignited our enthusiasm for their application in wireless communication systems. Therefore, a reliable DNN-based decoding scheme designed for wireless

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Rodnina, Marina V., Niels Fischer, Cristina Maracci, and Holger Stark. "Ribosome dynamics during decoding." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1716 (2017): 20160182. http://dx.doi.org/10.1098/rstb.2016.0182.

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Elongation factors Tu (EF-Tu) and SelB are translational GTPases that deliver aminoacyl-tRNAs (aa-tRNAs) to the ribosome. In each canonical round of translation elongation, aa-tRNAs, assisted by EF-Tu, decode mRNA codons and insert the respective amino acid into the growing peptide chain. Stop codons usually lead to translation termination; however, in special cases UGA codons are recoded to selenocysteine (Sec) with the help of SelB. Recruitment of EF-Tu and SelB together with their respective aa-tRNAs to the ribosome is a multistep process. In this review, we summarize recent progress in und

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O'Leary, John G., and Nicholas G. Hatsopoulos. "Early Visuomotor Representations Revealed From Evoked Local Field Potentials in Motor and Premotor Cortical Areas." Journal of Neurophysiology 96, no. 3 (2006): 1492–506. http://dx.doi.org/10.1152/jn.00106.2006.

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Local field potentials (LFPs) recorded from primary motor cortex (MI) have been shown to be tuned to the direction of visually guided reaching movements, but MI LFPs have not been shown to be tuned to the direction of an upcoming movement during the delay period that precedes movement in an instructed-delay reaching task. Also, LFPs in dorsal premotor cortex (PMd) have not been investigated in this context. We therefore recorded LFPs from MI and PMd of monkeys ( Macaca mulatta) and investigated whether these LFPs were tuned to the direction of the upcoming movement during the delay period. In

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Huang, Jiye, Shanggang Xie, Tongdong Guo, and Zhijin Zhao. "Hardware Decoding Accelerator of (73, 37, 13) QR Code for Power Line Carrier in UPIoT." Journal of Sensors 2021 (March 16, 2021): 1–13. http://dx.doi.org/10.1155/2021/6699555.

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The proposal of the ubiquitous power Internet of Things (UPIoT) has increased the demand for communication coverage and data collection of smart grid; the quantity and quality of communication networks are facing greater challenges. This brief applies (73, 37, 13) quadratic residue (QR) codes to power line carrier technology to improve the quality of local data communication in UPIoT. In order to improve the decoding performance of the QR codes, an induction method for the error pattern is proposed, which can divide the originally coupled error pattern into six parts and reuse the same module

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Пирогов, А. А., М. В. Хорошайлова, and Э. В. Сёмка. "Development of a neural network decoding architecture based on gating and weight distribution systems." Proceedings in Cybernetics 23, no. 3 (2024): 46–55. http://dx.doi.org/10.35266/1999-7604-2024-3-6.

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The research analyzes the working architecture for a neural network decoding algorithm based on belief propagation. It is found that the weight distribution and an effi cient computational graph determine the number of trainable parameters and computations in the neural network. The weight distribution involves calculating the weighted sum of the output signals of the neurons of a layer, multiplied by the corresponding weights, and adding the biases. The data region extraction method involves applying a nonlinear activation function to the output signals of neurons. After several iterations of

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Fırat, Orhan, Mete Özay, Itır Önal, Ilke Öztekin, and Fatoş T. Yarman Vural. "Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 3 (2013): 46–57. http://dx.doi.org/10.4018/ijcini.2013070103.

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The authors propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. The distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connectivity matrices are constructed. Then, the local mesh for each voxel is formed

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Kamenev, Mikhail. "On Decoding of Reed-Muller Codes Using a Local Graph Search." IEEE Transactions on Communications 70, no. 2 (2022): 739–48. http://dx.doi.org/10.1109/tcomm.2021.3128541.

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Angjelichinoski, Marko, John Choi, Taposh Banerjee, Bijan Pesaran, and Vahid Tarokh. "Cross-subject decoding of eye movement goals from local field potentials." Journal of Neural Engineering 17, no. 1 (2020): 016067. http://dx.doi.org/10.1088/1741-2552/ab6df3.

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Chen, Yan, Xinyu Liu, Shan Li, and Hong Wan. "Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials." Computational Intelligence and Neuroscience 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/3505371.

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Recent studies indicate that the local field potential (LFP) carries information about an animal’s behavior, but issues regarding whether there are any relationships between the LFP functional networks and behavior tasks as well as whether it is possible to employ LFP network features to decode the behavioral outcome in a single trial remain unresolved. In this study, we developed a network-based method to decode the behavioral outcomes in pigeons by using the functional connectivity strength values among LFPs recorded from the nidopallium caudolaterale (NCL). In our method, the functional con

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Seif, Zahra, and Mohammad Reza Daliri. "Evaluation of local field potential signals in decoding of visual attention." Cognitive Neurodynamics 9, no. 5 (2015): 509–22. http://dx.doi.org/10.1007/s11571-015-9336-2.

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Sudharsan, V., and B. Yamuna. "Support Vector Machine based Decoding Algorithm for BCH Codes." Journal of Telecommunications and Information Technology, no. 2 (June 30, 2016): 108–12. http://dx.doi.org/10.26636/jtit.2016.2.728.

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Modern communication systems require robust, adaptable and high performance decoders for efficient data transmission. Support Vector Machine (SVM) is a margin based classification and regression technique. In this paper, decoding of Bose Chaudhuri Hocquenghem codes has been approached as a multi-class classification problem using SVM. In conventional decoding algorithms, the procedure for decoding is usually fixed irrespective of the SNR environment in which the transmission takes place, but SVM being a machinelearning algorithm is adaptable to the communication environment. Since the construc

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Klaudi Klausen, Kurt. "Models of structural design in Danish local government." Politica 53, no. 3 (2021): 325. http://dx.doi.org/10.7146/politica.v53i3.130463.

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Danish local governments are using a multitude of governance paradigms, primarily NPM and NPG. It is argued that governance takes the form of packages of design and steering mechanisms that materialize in various models such as the classic bureaucratic organization, the business model, and the corporate model of local government. The historical development of successive packages is explained as attempts to achieve strategic design fit and as isomorphic processes of symbolic adapting. Managers have to be capable of decoding the mix of paradigms, live with the ambiguities and inconsistencies and

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Ji, Tianbo, Chenyang Lyu, Zhichao Cao, and Peng Cheng. "Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism." Entropy 23, no. 11 (2021): 1449. http://dx.doi.org/10.3390/e23111449.

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Neural auto-regressive sequence-to-sequence models have been dominant in text generation tasks, especially the question generation task. However, neural generation models suffer from the global and local semantic semantic drift problems. Hence, we propose the hierarchical encoding–decoding mechanism that aims at encoding rich structure information of the input passages and reducing the variance in the decoding phase. In the encoder, we hierarchically encode the input passages according to its structure at four granularity-levels: [word, chunk, sentence, document]-level. Second, we progressivel

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Sari, Herlinda Maya Kumala, and Rejekining Randusiwi. "Decoding Marketing Mix Effects: Insights from Indonesia." Journal of Business and Halal Industry 1, no. 4 (2024): 1–14. http://dx.doi.org/10.47134/jbhi.v1i4.260.

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This study investigates the efficacy of the marketing mix strategy in boosting sales to customers in the Sidoarjo area, addressing a gap in understanding its impact on local consumer behavior. Utilizing a descriptive quantitative approach, data was gathered from 96 respondents through a structured questionnaire offering five response options, analyzed using SmartPLS 3.0 software. The results indicate that product quality significantly enhances consumer acceptance, positively influencing sales. Additionally, the study confirms that other marketing mix elements such as place (access), price, and

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Natarajan, Rama, Quentin J. M. Huys, Peter Dayan, and Richard S. Zemel. "Encoding and Decoding Spikes for Dynamic Stimuli." Neural Computation 20, no. 9 (2008): 2325–60. http://dx.doi.org/10.1162/neco.2008.01-07-436.

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Naturally occurring sensory stimuli are dynamic. In this letter, we consider how spiking neural populations might transmit information about continuous dynamic stimulus variables. The combination of simple encoders and temporal stimulus correlations leads to a code in which information is not readily available to downstream neurons. Here, we explore a complex encoder that is paired with a simple decoder that allows representation and manipulation of the dynamic information in neural systems. The encoder we present takes the form of a biologically plausible recurrent spiking neural network wher

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