Neural Comput - Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count.

Tópicos

{ model(3404) distribut(989) bayesian(671) }
{ imag(2830) propos(1344) filter(1198) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ detect(2391) sensit(1101) algorithm(908) }
{ imag(1057) registr(996) error(939) }
{ method(1219) similar(1157) match(930) }
{ network(2748) neural(1063) input(814) }
{ problem(2511) optim(1539) algorithm(950) }
{ howev(809) still(633) remain(590) }
{ can(981) present(881) function(850) }
{ patient(2315) diseas(1263) diabet(1191) }
{ sampl(1606) size(1419) use(1276) }
{ take(945) account(800) differ(722) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ result(1111) use(1088) new(759) }
{ control(1307) perform(991) simul(935) }
{ perform(999) metric(946) measur(919) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ method(1969) cluster(1462) data(1082) }
{ can(774) often(719) complex(702) }
{ error(1145) method(1030) estim(1020) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ activ(1138) subject(705) human(624) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ estim(2440) model(1874) function(577) }
{ process(1125) use(805) approach(778) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2675) segment(2577) method(1081) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
{ health(3367) inform(1360) care(1135) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

The unitary events (UE) method is one of the most popular and efficient methods used over the past decade to detect patterns of coincident joint spike activity among simultaneously recorded neurons. The detection of coincidences is usually based on binned coincidence count (Gr?n, 1996 ), which is known to be subject to loss in synchrony detection (Gr?n, Diesmann, Grammont, Riehle, & Aertsen, 1999 ). This defect has been corrected by the multiple shift coincidence count (Gr?n et al., 1999 ). The statistical properties of this count have not been further investigated until this work, the formula being more difficult to deal with than the original binned count. First, we propose a new notion of coincidence count, the delayed coincidence count, which is equal to the multiple shift coincidence count when discretized point processes are involved as models for the spike trains. Moreover, it generalizes this notion to nondiscretized point processes, allowing us to propose a new gaussian approximation of the count. Since unknown parameters are involved in the approximation, we perform a plug-in step, where unknown parameters are replaced by estimated ones, leading to a modification of the approximating distribution. Finally the method takes the multiplicity of the tests into account via a Benjamini and Hochberg approach (Benjamini & Hochberg, 1995 ), to guarantee a prescribed control of the false discovery rate. We compare our new method, MTGAUE (multiple tests based on a gaussian approximation of the unitary events) and the UE method proposed in Gr?n et al. ( 1999 ) over various simulations, showing that MTGAUE extends the validity of the previous method. In particular, MTGAUE is able to detect both profusion and lack of coincidences with respect to the independence case and is robust to changes in the underlying model. Furthermore MTGAUE is applied on real data.

Resumo Limpo

unitari event ue method one popular effici method use past decad detect pattern coincid joint spike activ among simultan record neuron detect coincid usual base bin coincid count grn known subject loss synchroni detect grn diesmann grammont riehl aertsen defect correct multipl shift coincid count grn et al statist properti count investig work formula difficult deal origin bin count first propos new notion coincid count delay coincid count equal multipl shift coincid count discret point process involv model spike train moreov general notion nondiscret point process allow us propos new gaussian approxim count sinc unknown paramet involv approxim perform plugin step unknown paramet replac estim one lead modif approxim distribut final method take multipl test account via benjamini hochberg approach benjamini hochberg guarante prescrib control fals discoveri rate compar new method mtgaue multipl test base gaussian approxim unitari event ue method propos grn et al various simul show mtgaue extend valid previous method particular mtgaue abl detect profus lack coincid respect independ case robust chang under model furthermor mtgaue appli real data

Resumos Similares

AMIA Annu Symp Proc - Testing the calibration of classification models from first principles. ( 0,734127289592273 )
Res Synth Methods - Random-effects meta-analysis of time-to-event data using the expectation-maximisation algorithm and shrinkage estimators. ( 0,723714765508785 )
IEEE Trans Image Process - Blind separation of time/position varying mixtures. ( 0,71800992253467 )
IEEE Trans Pattern Anal Mach Intell - Modeling Natural Images Using Gated MRFs. ( 0,710128777057562 )
Comput Methods Programs Biomed - Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health. ( 0,69628056833022 )
IEEE Trans Image Process - Bayesian robust principal component analysis. ( 0,692836749044659 )
IEEE Trans Image Process - A Bayesian framework for image segmentation with spatially varying mixtures. ( 0,687329669019205 )
Comput Math Methods Med - Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements. ( 0,686925579308484 )
IEEE Trans Neural Netw Learn Syst - Robust Novelty Detection via Worst Case CVaR Minimization. ( 0,686637229892891 )
Neural Comput - A semiparametric Bayesian model for detecting synchrony among multiple neurons. ( 0,685433993886501 )
Comput Math Methods Med - Inference for ecological dynamical systems: a case study of two endemic diseases. ( 0,685365948485034 )
Spat Spatiotemporal Epidemiol - Goodness-of-fit measures for individual-level models of infectious disease in a Bayesian framework. ( 0,680938827478625 )
IEEE Trans Pattern Anal Mach Intell - Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? ( 0,679046298853607 )
IEEE Trans Image Process - Bayesian technique for image classifying registration. ( 0,661859815662528 )
Comput. Biol. Med. - Expectation-maximization technique for fibro-glandular discs detection in mammography images. ( 0,653673188178533 )
IEEE Trans Image Process - Automatic image equalization and contrast enhancement using Gaussian mixture modeling. ( 0,650783360466664 )
IEEE Trans Neural Netw Learn Syst - Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. ( 0,647694624591575 )
Artif Intell Med - On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. ( 0,646412549146372 )
Lifetime Data Anal - Bayesian nonparametric models for ranked set sampling. ( 0,645687740666994 )
Med Decis Making - Calibration of complex models through Bayesian evidence synthesis: a demonstration and tutorial. ( 0,643536347034594 )
IEEE Trans Image Process - Posterior-mean super-resolution with a causal Gaussian Markov random field prior. ( 0,642940556686497 )
Neural Comput - Simple deterministically constructed cycle reservoirs with regular jumps. ( 0,64260785344705 )
Comput Math Methods Med - An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models. ( 0,641904670080302 )
J. Comput. Biol. - On the inference of dirichlet mixture priors for protein sequence comparison. ( 0,640746252855767 )
Lifetime Data Anal - Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis. ( 0,632437965000021 )
Res Synth Methods - A Bayesian nonparametric meta-analysis model. ( 0,631168538894166 )
IEEE Trans Image Process - Variational Bayesian method for Retinex. ( 0,630467300953733 )
J. Comput. Biol. - A spatial haplotype copying model with applications to genotype imputation. ( 0,628599937151554 )
Med Decis Making - Bayesian calibration of a natural history model with application to a population model for colorectal cancer. ( 0,626416327335319 )
Lifetime Data Anal - Bayesian local influence for survival models. ( 0,622578278257448 )
Med Decis Making - Not simply more of the same: distinguishing between patient heterogeneity and parameter uncertainty. ( 0,622037232371225 )
Methods Inf Med - Evaluating strategies for marker ranking in genome-wide association studies of complex traits. ( 0,621515104739392 )
IEEE Trans Pattern Anal Mach Intell - Negative Binomial Process Count and Mixture Modeling. ( 0,620542714140824 )
Res Synth Methods - Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity. ( 0,615893694255436 )
IEEE Trans Image Process - A study of multiplicative watermark detection in the contourlet domain using alpha-stable distributions. ( 0,613786192023383 )
IEEE Trans Image Process - Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery. ( 0,611821665576697 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,611140205561404 )
J. Comput. Biol. - Expectation-maximization algorithm for determining natural selection of Y-linked genes through two-sex branching processes. ( 0,608490172284478 )
Brief. Bioinformatics - Iteratively reweighted LASSO for mapping multiple quantitative trait loci. ( 0,607675913377013 )
Neural Comput - Bayesian community detection. ( 0,606047833647623 )
Med Decis Making - Assessing uncertainties surrounding combined endpoints for use in economic models. ( 0,604770584674125 )
J. Comput. Biol. - Computational methods for a class of network models. ( 0,602868054629779 )
Neural Comput - Bayesian sparse partial least squares. ( 0,602188818384631 )
Neural Comput - Efficient Markov chain Monte Carlo methods for decoding neural spike trains. ( 0,601734004117 )
Comput. Biol. Med. - Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis. ( 0,601298242474836 )
Comput Methods Programs Biomed - A Bayesian multilevel model for fMRI data analysis. ( 0,600927827108768 )
IEEE Trans Vis Comput Graph - Visualizing the Variability of Gradients in Uncertain 2D Scalar Fields. ( 0,599637204756289 )
IEEE Trans Image Process - Bayesian inference of models and hyperparameters for robust optical-flow estimation. ( 0,598706344360014 )
J. Comput. Biol. - Bayesian blind source separation for data with network structure. ( 0,596087318346161 )
Spat Spatiotemporal Epidemiol - A Bayesian space-time model for discrete spread processes on a lattice. ( 0,594517270071236 )
Comput Math Methods Med - Bayesian inference of the Weibull model based on interval-censored survival data. ( 0,593917093836606 )
Neural Comput - Efficient sensory encoding and Bayesian inference with heterogeneous neural populations. ( 0,59269861151798 )
IEEE Trans Pattern Anal Mach Intell - Single Image Haze Removal Using Dark Channel Prior. ( 0,590847147414073 )
IEEE Trans Image Process - Shape-based normalized cuts using spectral relaxation for biomedical segmentation. ( 0,590612743759196 )
IEEE Trans Neural Netw Learn Syst - Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. ( 0,58972762195031 )
IEEE Trans Image Process - A Bayesian hierarchical factorization model for vector fields. ( 0,585381981937716 )
Med Biol Eng Comput - A poisson process model for hip fracture risk. ( 0,585151053876555 )
Artif Intell Med - Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors. ( 0,582435826672792 )
J. Comput. Biol. - The 5'-3' distance of RNA secondary structures. ( 0,582435206036491 )
Lifetime Data Anal - Proportional hazards models with discrete frailty. ( 0,58177447388274 )
Neural Comput - The dependence of spike field coherence on expected intensity. ( 0,580701767923287 )
Neural Comput - Estimation of time-dependent input from neuronal membrane potential. ( 0,579631650860038 )
Res Synth Methods - Bayesian model selection for meta-analysis of diagnostic test accuracy data: Application to Ddimer for deep vein thrombosis. ( 0,577377481513502 )
Artif Intell Med - Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. ( 0,575058389139514 )
Res Synth Methods - A basic introduction to fixed-effect and random-effects models for meta-analysis. ( 0,57437018472523 )
Comput Methods Programs Biomed - The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates. ( 0,57429804957019 )
IEEE Trans Neural Netw Learn Syst - Generalized multiple kernel learning with data-dependent priors. ( 0,573445385739036 )
IEEE Trans Image Process - Computationally tractable stochastic image modeling based on symmetric Markov mesh random fields. ( 0,57316523540729 )
Methods Inf Med - Optimal two-stage designs for single-arm phase II oncology trials with two binary endpoints. ( 0,569879812840763 )
Spat Spatiotemporal Epidemiol - The detection of spatially localised outbreaks in campylobacteriosis notification data. ( 0,569022276228513 )
IEEE Trans Pattern Anal Mach Intell - Non-Rigid Object Detection with Local Interleaved Sequential Alignment (LISA). ( 0,568674765398001 )
Comput Math Methods Med - A computationally efficient, exploratory approach to brain connectivity incorporating false discovery rate control, a priori knowledge, and group inference. ( 0,567594931354288 )
Comput Math Methods Med - A general framework for modeling sub- and ultraharmonics of ultrasound contrast agent signals with MISO volterra series. ( 0,565097088414654 )
Neural Comput - Causal discovery via reproducing kernel Hilbert space embeddings. ( 0,563953336748656 )
Med Decis Making - Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide. ( 0,563936611556271 )
Neural Comput - Impact of spike train autostructure on probability distribution of joint spike events. ( 0,563054777149669 )
IEEE Trans Image Process - Counting people with low-level features and Bayesian regression. ( 0,562672540453987 )
AMIA Annu Symp Proc - Learning to predict post-hospitalization VTE risk from EHR data. ( 0,562586117601053 )
BMC Med Inform Decis Mak - A simulation model of colorectal cancer surveillance and recurrence. ( 0,562436794924949 )
IEEE Trans Image Process - Single-image refocusing and defocusing. ( 0,562236937865194 )
Comput Methods Programs Biomed - NIMROD: a program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. ( 0,56033279595814 )
IEEE Trans Image Process - Cross-camera knowledge transfer for multiview people counting. ( 0,559381293530182 )
Comput Methods Programs Biomed - Life prediction of different commercial dental implants as influence by uncertainties in their fatigue material properties and loading conditions. ( 0,558173609336146 )
IEEE Trans Image Process - Rate-distortion analysis of dead-zone plus uniform threshold scalar quantization and its application--part II: two-pass VBR coding for H.264/AVC. ( 0,556427341648902 )
Comput Methods Programs Biomed - Multivariate Bayesian modeling of known and unknown causes of events--an application to biosurveillance. ( 0,555420228852686 )
Comput Math Methods Med - A statistical method for synthesizing meta-analyses. ( 0,554865353521119 )
IEEE Trans Image Process - Analyzing image deblurring through three paradigms. ( 0,553092253063131 )
Spat Spatiotemporal Epidemiol - Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data. ( 0,55258972492219 )
IEEE Trans Image Process - This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms--theory and practice. ( 0,551627000071232 )
IEEE Trans Pattern Anal Mach Intell - Monotonicity and Error Type Differentiability in Performance Measures for Target Detection and Tracking in Video. ( 0,550606820827346 )
Comput Methods Programs Biomed - On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: a monotone systems approach. ( 0,550174908292767 )
IEEE Trans Image Process - Self-similar anisotropic texture analysis: the hyperbolic wavelet transform contribution. ( 0,549605969207366 )
Neural Comput - Universal approximation depth and errors of narrow belief networks with discrete units. ( 0,549125178386915 )
Comput. Biol. Med. - BootstRatio: A web-based statistical analysis of fold-change in qPCR and RT-qPCR data using resampling methods. ( 0,5485343183555 )
J. Comput. Biol. - Continuous-time Markov chain-based flux analysis in metabolism. ( 0,547401509432792 )
IEEE Trans Image Process - Single image defogging by multiscale depth fusion. ( 0,546811111793797 )
Med Decis Making - The combined analysis of uncertainty and patient heterogeneity in medical decision models. ( 0,545716686106652 )
IEEE Trans Pattern Anal Mach Intell - Simultaneous Tensor Decomposition and Completion Using Factor Priors. ( 0,54547832126552 )
IEEE Trans Image Process - Probabilistic image modeling with an extended chain graph for human activity recognition and image segmentation. ( 0,544173619081149 )
IEEE Trans Pattern Anal Mach Intell - Causal Inference on Discrete Data using Additive Noise Models. ( 0,544041599813301 )