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Search · four archives
26 papers · ranked by Valyu relevance
Shawn M. Willett, Jennifer M. Groh
How we distinguish multiple simultaneous stimuli is uncertain, particularly given that such stimuli sometimes recruit largely overlapping populations of neurons. One commonly proposed hypothesis is that the sharpness of tuning curves might change to limit the number of stimuli driving any given neuron when multiple…
Simon R. Blackburn⋆
K.A.S. Immink and J.H. Weber recently defined and studied a channel with both gain and offset mismatch, modelling the behaviour of charge-leakage in flash memory. They proposed a decoding measure for this channel based on minimising Pearson distance (a notion from cluster analysis). The paper derives a formula for…
Lior Galanti, Dennis Shasha, Kristin C. Gunsalus
Output from high throughput sequencing instruments often exceeds what is necessary to assay a single sample. To better utilize this capacity, multiple samples are independently tagged with a unique “barcode” sequence and are then pooled, or “multiplexed”, and sequenced together. Classifying, or “demultiplexing”, the…
Marwan Jalaleddine, Jiajie Li, Syed Mohsin Abbas, Warren J. Gross
The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has limited its practical use for decades. Because the complexity grows exponentially with the message length, researchers have spent years developing algorithms like Ordered Statistics Decoding (OSD), Partial Ordered…
Yan Yuan, Péter Scheepers, Lydia Tasiou, Yunus Can Gültekin + 2 more
Decoders Authors: ['Yan Yuan' 'Péter Scheepers' 'Lydia Tasiou' 'Yunus Can Gültekin' 'Federico Corradi' 'Alex Alvarado'] Abstract—This paper analyzes the design and competitiveness of four neural network (NN) architectures recently proposed as decoders for forward error correction (FEC) codes. We first consider the…
Pavel Rybin, Kirill Andreev, Victor Zyablov, Balazs Matuz + 2 more
'Alexey Frolov' 'Aaron Gulliver'] This paper deals with the specific construction of binary low-density parity-check (LDPC) codes. We derive lower bounds on the error exponents for these codes transmitted over the memoryless binary symmetric channel (BSC) for both the well-known maximum-likelihood (ML) and proposed…
David Kracht, Steffen Schober
Background Barcode multiplexing is a key strategy for sharing the rising capacity of next-generation sequencing devices: Synthetic DNA tags, called barcodes, are attached to natural DNA fragments within the library preparation procedure. Different libraries, can individually be labeled with barcodes for a joint…
Nicholas Chancellor, Szilard Szoke, Walter Vinci, Gabriel Aeppli + 1 more
'Paul A. Warburton'] Optimisation problems typically involve finding the ground state (i.e. the minimum energy configuration) of a cost function with respect to many variables. If the variables are corrupted by noise then this maximises the likelihood that the solution is correct. The maximum entropy solution on the…
Christian Franck
The surprising discovery of Turbo-codes [1] in the early 90's was a major breakthrough in the field of digital communication. Two simple codes combined with an interleaver can be decoded in a nearly optimal way with loopy beliefpropagation (BP) [10], [9] so that they operate close to Shannon's channel capacity [11].…
Ilya Dumer
New soft- and hard decision decoding algorithms are presented for general Reed-Muller codes m r of length 2m and distance 2m−r . We use Plotkin (u, u + v) construction and decompose code m r onto subblocks u ∈ m−1 r and v ∈ n m−1 r−1 o . In decoding, we first try to find a subblock v from the better protected code and…
Jason Hays, Fabian A. Soto
The use of population encoding models has come to dominate the study of human visual neuroscience, serving as a primary tool for making inferences about neural code changes based on indirect measurements. A popular approach in computational neuroimaging is to use such models to obtain estimates of neural population…
Aaqib Patel, Abdul Mateen Ahmed, Mohammed Zafar Ali Khan
—Block codes are typically not used for fading channels as soft decision decoding is computationally intensive and hard decision decoding results in performance loss. In this paper we propose a diversity preserving hard decision decoding scheme for parity check codes (PCC) over Rayleigh fading channels. The proposed…
Tom Putzeys, Matthias Bethge, Felix Wichmann, Johan Wagemans + 2 more
'Robbe Goris' 'Konrad P. Kording'] Several studies have reported optimal population decoding of sensory responses in two-alternative visual discrimination tasks. Such decoding involves integrating noisy neural responses into a more reliable representation of the likelihood that the stimuli under consideration evoked…
W. Jeffrey Johnston, Stephanie E. Palmer, David J. Freedman
Neuronal activity in the brain is variable, yet both perception and behavior are generally reliable. How does the brain achieve this? Here, we show that the conjunctive coding of multiple stimulus features, commonly known as nonlinear mixed selectivity, may be used by the brain to support reliable information…
M. Sravan Kumar
This is to certify that the work contained in the dissertation titled "Finite State Markov Modeling of Fading Channels Towards Decoding of LDPC Codes" by Mohit Kumar (2008EEE3223) in partial fulfillment of the course work requirement of M.Tech program in the Department of Electrical Engineering has been carried out…
Tae-Kyoung Kim, Xianpeng Wang, Fangqing Wen, Liangtian Wan + 1 more
This study considers an improved likelihood probability in multi-input multi-output (MIMO) systems using one-bit analog-to-digital converters (ADCs). MIMO systems using one-bit ADCs are known to exhibit from performance degradation because of inaccurate likelihood probabilities. To overcome this degradation, the…
Mohamed Marey, Ahmed Sedik, Hala Mostafa, Hsiao-Chun Wu
A radio is adaptive if it can autonomously analyze the communications environment and instantly modify its settings to achieve the best possible efficiency. In orthogonal frequency division multiplexing (OFDM) transmissions, identifying the space frequency block coding (SFBC) category utilized is one of the most…
Authors not listed
Knowledge of the reaction rate constants can be vital in understanding electrochemical reaction mechanisms and their rate-determining processes. Although first-principles methods, such as density functional theory (DFT), provide valuable insight into reaction free energies and rate constants, they commonly use…
Abed Ghanbari, Ian Stevenson
Neural responses to repeated presentations of an identical stimulus often show substantial trial-to-trial variability. Although the mean firing rate in response to different stimuli or during different movements (tuning curves) have been extensively modeled, the variability of neural responses can also have clear…
Shuiyin Liu, Yi Hong, Emanuele Viterbo, Alessia Marelli + 1 more
'Rino Micheloni'] Abstract—Low density lattice codes (LDLC) are a family of lattice codes that can be decoded efficiently using a messagepassing algorithm. In the original LDLC decoder, the message exchanged between variable nodes and check nodes are continuous functions, which must be approximated in practice. A…
Van N. T. La, Stanley Nicholson, Amna Haneef, Lulu Kang + 1 more
Some data are just underappreciated. Maybe they look different or come from a different background than most other data. Maybe they don't fit neatly into common notions of what data on a ``curve'' should look like. Whatever the case, they are pigeonholed into a restricted role that limits their contributions. But if…
Il Memming Park, Jonathan W. Pillow
The efficient coding hypothesis, which proposes that neurons are optimized to maximize information about the environment, has provided a guiding theoretical framework for sensory and systems neuroscience. More recently, a theory known as the Bayesian Brain hypothesis has focused on the brain’s ability to integrate…
Authors not listed
This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Jürgen Köfinger, Gerhard Hummer
The proper balancing of information from experiment and theory is a long-standing problem in the analysis of noisy and incomplete data. Viewed as a Pareto optimization problem, improved agreement with the experimental data comes at the expense of growing inconsistencies with the theoretical reference model. Here, we…
Jürgen Köfinger, Gerhard Hummer
The proper balancing of information from experiment and theory is a long-standing problem in the analysis of noisy and incomplete data. Viewed as a Pareto optimization problem, improved agreement with the experimental data comes at the expense of growing inconsistencies with the theoretical reference model. Here, we…
Chenxi Sui, Ziyang Jiang, Genesis Higueros, David Carlson + 1 more
High-performance batteries are poised for electrification of vehicles and therefore mitigate greenhouse gas emissions, which, in turn, promote a sustainable future. However, the design of optimized batteries is challenging due to the nonlinear governing physics and electrochemistry. Recent advancements have…