Neural Comput - An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network.

Tópicos

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

Resumo

Psychological experiments have shown that the capacity of the brain for discriminating visual stimuli as novel or familiar is almost limitless. Neurobiological studies have established that the perirhinal cortex is critically involved in both familiarity discrimination and feature extraction. However, opinion is divided as to whether these two processes are performed by the same neurons. Previously proposed models have been unable to simultaneously extract features and discriminate familiarity for large numbers of stimuli. We show that a well-known model of visual feature extraction, Infomax, can simultaneously perform familiarity discrimination and feature extraction efficiently. This model has a significantly larger capacity than previously proposed models combining these two processes, particularly when correlation exists between inputs, as is the case in the perirhinal cortex. Furthermore, we show that once the model fully extracts features, its ability to perform familiarity discrimination increases markedly.

Resumo Limpo

psycholog experi shown capac brain discrimin visual stimuli novel familiar almost limitless neurobiolog studi establish perirhin cortex critic involv familiar discrimin featur extract howev opinion divid whether two process perform neuron previous propos model unabl simultan extract featur discrimin familiar larg number stimuli show wellknown model visual featur extract infomax can simultan perform familiar discrimin featur extract effici model signific larger capac previous propos model combin two process particular correl exist input case perirhin cortex furthermor show model fulli extract featur abil perform familiar discrimin increas mark

Resumos Similares

Comput Methods Programs Biomed - A new hybrid intelligent system for accurate detection of Parkinson's disease. ( 0,801255998578792 )
Comput Math Methods Med - Comparison of different EHG feature selection methods for the detection of preterm labor. ( 0,800701841928148 )
Comput Math Methods Med - SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds. ( 0,793508875220065 )
J Biomed Inform - Boosting performance of gene mention tagging system by hybrid methods. ( 0,792028059304281 )
J Med Syst - A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. ( 0,791194224278262 )
J Med Syst - SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. ( 0,789568374070027 )
Comput Biol Chem - Information-theoretic approaches to SVM feature selection for metagenome read classification. ( 0,782682932743567 )
Comput. Biol. Med. - An ensemble system for automatic sleep stage classification using single channel EEG signal. ( 0,782490497489882 )
Comput Biol Chem - Derivation of an artificial gene to improve classification accuracy upon gene selection. ( 0,780147565350998 )
Comput. Biol. Med. - A novel class dependent feature selection method for cancer biomarker discovery. ( 0,775153610490978 )
J Am Med Inform Assoc - A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. ( 0,773927851790442 )
Comput Biol Chem - Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm. ( 0,772836114187177 )
Comput. Biol. Med. - Contourlet-based mammography mass classification using the SVM family. ( 0,770734582656054 )
Comput. Biol. Med. - Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. ( 0,768679316889757 )
Artif Intell Med - Texture feature ranking with relevance learning to classify interstitial lung disease patterns. ( 0,766868309180365 )
Comput. Biol. Med. - Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. ( 0,765396818247257 )
Comput. Biol. Med. - Pairwise FCM based feature weighting for improved classification of vertebral column disorders. ( 0,762892204140539 )
Comput. Biol. Med. - Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines. ( 0,75951674511068 )
J Biomed Inform - A fast gene selection method for multi-cancer classification using multiple support vector data description. ( 0,758264855863595 )
J Med Syst - A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases. ( 0,758030038910233 )
J Chem Inf Model - Choosing feature selection and learning algorithms in QSAR. ( 0,756075714090126 )
Int J Comput Assist Radiol Surg - Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images. ( 0,753933002931325 )
Comput. Biol. Med. - A classification system based on a new wrapper feature selection algorithm for the diagnosis of primary and secondary polycythemia. ( 0,752509804608335 )
J Biomed Inform - Automatic figure classification in bioscience literature. ( 0,752152596062741 )
Med Biol Eng Comput - SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. ( 0,752092433149385 )
Int J Comput Assist Radiol Surg - Building an ensemble system for diagnosing masses in mammograms. ( 0,751989484400682 )
J Med Syst - Detection of carotid artery disease by using Learning Vector Quantization Neural Network. ( 0,751770127413176 )
J Med Syst - Usage of case-based reasoning, neural network and adaptive neuro-fuzzy inference system classification techniques in breast cancer dataset classification diagnosis. ( 0,750928228183956 )
Comput Math Methods Med - Discrimination between Alzheimer's disease and mild cognitive impairment using SOM and PSO-SVM. ( 0,749260038357796 )
Artif Intell Med - Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. ( 0,748516657310055 )
Comput Biol Chem - A novel divide-and-merge classification for high dimensional datasets. ( 0,748332199126162 )
Int J Neural Syst - Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification. ( 0,7482540455899 )
Comput Methods Programs Biomed - Automatic cervical cell segmentation and classification in Pap smears. ( 0,746836144608299 )
J Med Syst - A new expert system for diagnosis of lung cancer: GDA-LS_SVM. ( 0,745206302363755 )
Int J Neural Syst - Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy. ( 0,744738792136048 )
J Med Syst - An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method. ( 0,744139125960777 )
Artif Intell Med - Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. ( 0,740334615154166 )
Int J Neural Syst - Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. ( 0,739756740140974 )
Artif Intell Med - An intelligent classifier for prognosis of cardiac resynchronization therapy based on speckle-tracking echocardiograms. ( 0,739061301572819 )
Artif Intell Med - Selective voting in convex-hull ensembles improves classification accuracy. ( 0,735359426029577 )
Comput Methods Programs Biomed - A random forest classifier for lymph diseases. ( 0,734871776519304 )
J Med Syst - A three-stage expert system based on support vector machines for thyroid disease diagnosis. ( 0,734856036845633 )
Comput. Biol. Med. - SVM-based feature selection to optimize sensitivity-specificity balance applied to weaning. ( 0,734464997863196 )
Med Biol Eng Comput - Feature selection and classification of leukocytes using random forest. ( 0,730948381535935 )
Comput Math Methods Med - Comparison of the data classification approaches to diagnose spinal cord injury. ( 0,730694191440069 )
Comput Math Methods Med - An ensemble-of-classifiers based approach for early diagnosis of Alzheimer's disease: classification using structural features of brain images. ( 0,73003090380711 )
J Am Med Inform Assoc - Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. ( 0,727824879492547 )
Neural Comput - The support feature machine: classification with the least number of features and application to neuroimaging data. ( 0,725964797366669 )
Comput. Biol. Med. - Heartbeat classification using disease-specific feature selection. ( 0,725524875917971 )
IEEE Trans Image Process - A novel technique for subpixel image classification based on support vector machine. ( 0,723413672537439 )
Int J Neural Syst - Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis. ( 0,720070218344516 )
Comput Methods Programs Biomed - Functional activity maps based on significance measures and Independent Component Analysis. ( 0,718895768408035 )
J Med Syst - Statistical analysis of textural features for improved classification of oral histopathological images. ( 0,718842958464464 )
Med Biol Eng Comput - CFS-SMO based classification of breast density using multiple texture models. ( 0,717708875267124 )
Neural Comput - Dimensionality of object representations in monkey inferotemporal cortex. ( 0,717110921687898 )
Comput. Biol. Med. - Gene expression microarray classification using PCA-BEL. ( 0,715730281569677 )
Brief. Bioinformatics - Class-imbalanced classifiers for high-dimensional data. ( 0,713177206212701 )
Comput. Biol. Med. - A hybrid feature selection method for DNA microarray data. ( 0,712705277926672 )
Int J Neural Syst - Improved adaptive splitting and selection: the hybrid training method of a classifier based on a feature space partitioning. ( 0,712383320138902 )
J Med Syst - Enhanced cancer recognition system based on random forests feature elimination algorithm. ( 0,710913143030522 )
Comput Methods Programs Biomed - Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis. ( 0,710341775664981 )
Comput Math Methods Med - Feature selection in classification of eye movements using electrooculography for activity recognition. ( 0,708619714462333 )
J Med Syst - Symptomatic vs. asymptomatic plaque classification in carotid ultrasound. ( 0,707826844545231 )
Comput Math Methods Med - Determination of fetal state from cardiotocogram using LS-SVM with particle swarm optimization and binary decision tree. ( 0,705382135580788 )
IEEE Trans Image Process - Efficient HIK SVM learning for image classification. ( 0,704959034508542 )
IEEE J Biomed Health Inform - Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimization. ( 0,7047052335079 )
J Med Syst - Similarity-dissimilarity plot for visualization of high dimensional data in biomedical pattern classification. ( 0,704377281282312 )
J Biomed Inform - An efficient statistical feature selection approach for classification of gene expression data. ( 0,703783743232019 )
Comput Methods Programs Biomed - Performance comparison of machine learning methods for prognosis of hormone receptor status in breast cancer tissue samples. ( 0,702232451312809 )
J Med Syst - Classification of speech dysfluencies using LPC based parameterization techniques. ( 0,700945045719399 )
Artif Intell Med - Selection of effective features for ECG beat recognition based on nonlinear correlations. ( 0,698504160968901 )
J Biomed Inform - A biological continuum based approach for efficient clinical classification. ( 0,69808104698647 )
Comput Math Methods Med - Principal feature analysis: a multivariate feature selection method for fMRI data. ( 0,69692237235477 )
J Med Syst - Automated diagnosis of Alzheimer disease using the scale-invariant feature transforms in magnetic resonance images. ( 0,696189893761403 )
Comput. Biol. Med. - A new feature extraction framework based on wavelets for breast cancer diagnosis. ( 0,695050599112681 )
Comput. Biol. Med. - Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. ( 0,695037671962979 )
Comput Methods Programs Biomed - Classification of the electrocardiogram signals using supervised classifiers and efficient features. ( 0,693377454555516 )
IEEE J Biomed Health Inform - Computer-aided diagnosis in hysteroscopic imaging. ( 0,693375245281536 )
BMC Med Inform Decis Mak - Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. ( 0,691515105771871 )
J Biomed Inform - Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso. ( 0,690525259668992 )
Comput Biol Chem - CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. ( 0,689505101085536 )
Comput Biol Chem - newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation. ( 0,688779605278122 )
IEEE Trans Image Process - 3D+t morphological processing: applications to embryogenesis image analysis. ( 0,687783016490012 )
J Med Syst - Classification of normal and diseased liver shapes based on Spherical Harmonics coefficients. ( 0,687232860932663 )
Comput Methods Programs Biomed - An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. ( 0,685679611650486 )
Comput Methods Programs Biomed - Computer-supported diagnosis for endotension cases in endovascular aortic aneurysm repair evolution. ( 0,68384028870276 )
Comput Methods Programs Biomed - Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set. ( 0,683148344293188 )
Comput. Biol. Med. - A new dataset evaluation method based on category overlap. ( 0,68267731215333 )
Brief. Bioinformatics - Ensemble learning algorithms for classification of mtDNA into haplogroups. ( 0,68103641284885 )
Comput Methods Programs Biomed - Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA). ( 0,680199265997818 )
Artif Intell Med - Improving the accuracy of suicide attempter classification. ( 0,680198880761871 )
IEEE J Biomed Health Inform - Support vector machine classification based on correlation prototypes applied to bone age assessment. ( 0,679642199634778 )
J Med Syst - A new method based for diagnosis of breast cancer cells from microscopic images: DWEE--JHT. ( 0,679463250702378 )
IEEE Trans Image Process - Human detection in images via piecewise linear support vector machines. ( 0,679170491012718 )
Med Biol Eng Comput - Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. ( 0,677102076698894 )
Comput. Biol. Med. - Ant colony optimization-based feature selection method for surface electromyography signals classification. ( 0,676824156749649 )
IEEE Trans Image Process - Maximum Margin Correlation Filter: a new approach for localization and classification. ( 0,67607341372888 )
Artif Intell Med - Subpopulation-specific confidence designation for more informative biomedical classification. ( 0,675922810094289 )
Comput Math Methods Med - An expert system based on Fisher score and LS-SVM for cardiac arrhythmia diagnosis. ( 0,674783135290043 )
J Med Syst - Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons. ( 0,674093557531176 )