Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks
Frontiers in Computational Neuroscience, 2018 Recurrent networks of spiking neurons can be in an asynchronous state characterized by low or absent cross-correlations and spike statistics which resemble those of cortical neurons. Although spatial correlations are negligible in this state, neurons can
Rodrigo F. O. Pena +7 more
doaj +1 more source
Exact BER Performance of Asynchronous DS-CDMA Systems using Quadriphase Spreading and QPSK Modulation over Rayleigh Channels [PDF]
, 2006 An accurate closed-form expression is derived for calculating the average BER in an asynchronous DS-CDMA system using random complex-valued spreading sequences for transmission over Rayleigh channels. This accurate solution is based on the Characteristic
Liu, X., L. Hanzo, Hanzo, L., Xiang Liu
core +1 more source
Exact BER of Rectangular-Constellation QAM Subjected to Asynchronous Co-Channel Interference and Nakagami-m Fading [PDF]
, 2006 The exact average bit error ratio (BER) of the rectangular quadrature amplitude modulation (QAM) constellation is studied in the context of asynchronous co-channel interference (CCI) and Nakagami-m fading.
Liu, X. +3 more
core +1 more source
Exact BER Calculation of Asynchronous DS-CDMA Systems Communicating over Hoyt Channels [PDF]
, 2006 An asynchronous binary DS-CDMA system using random spreading sequences is considered in flat Hoyt fading channels. A new closed-form expression is derived for the conditional characteristic function of the multiple access interference.
Liu, X. +3 more
core +1 more source
Asynchronous stochastic approximation [PDF]
, 1998 The asymptotic behavior of a distributed, asynchronous stochastic approximation scheme is analyzed in terms of a limiting nonautonomous dierential equation. The relation between the latter and the relative values of suitably rescaled relative frequencies
Borkar, Vivek S.
core +2 more sources
EVENT-DRIVEN STOCHASTIC APPROXIMATION [PDF]
, 2016 We consider a Robbins-Monro type iteration wherein noisy measurements are event-driven and therefore arrive asynchronously. We propose a modification of step-sizes that ensures desired asymptotic behaviour regardless of this aspect.
VARDHAN, MA, SAHASRABUDHE, N, BORKAR, VS
core +1 more source
Accurate BER Analysis of Asynchronous DS-CDMA Systems in Ricean Channels [PDF]
, 2006 The accurate Bit Error Rate (BER) calculation of an asynchronous Ricean-faded DS-CDMA system using random spreading sequences and BPSK modulation is studied in this paper.
Liu, X. +3 more
core +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Asynchronous Doubly Stochastic Sparse Kernel Learning [PDF]
, 2018 Kernel methods have achieved tremendous success in the past two decades. In the current big data era, data collection has grown tremendously. However, existing kernel methods are not scalable enough both at the training and predicting steps.
Xin, Miao +3 more
core +1 more source
Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping
Advanced Intelligent Systems, EarlyView.This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler +5 more
wiley +1 more source