Neural Comput - Projective clustering using neural networks with adaptive delay and signal transmission loss.

Tópicos

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

Resumo

We develop a new neural network architecture for projective clustering of data sets that incorporates adaptive transmission delays and signal transmission information loss. The resultant selective output signaling mechanism does not require the addition of multiple hidden layers but instead is based on the assumption that the signal transmission velocity between input processing neurons and clustering neurons is proportional to the similarity between the input pattern and the feature vector (the top-down weights) of the clustering neuron. The mathematical model governing the evolution of the signal transmission delay, the short-term memory traces, and the long-term memory traces represents a new class of large-scale delay differential equations where the evolution of the delay is described by a nonlinear differential equation involving the similarity measure already noted. We give a complete description of the computational performance of the network for a wide range of parameter values.

Resumo Limpo

develop new neural network architectur project cluster data set incorpor adapt transmiss delay signal transmiss inform loss result select output signal mechan requir addit multipl hidden layer instead base assumpt signal transmiss veloc input process neuron cluster neuron proport similar input pattern featur vector topdown weight cluster neuron mathemat model govern evolut signal transmiss delay shortterm memori trace longterm memori trace repres new class largescal delay differenti equat evolut delay describ nonlinear differenti equat involv similar measur alreadi note give complet descript comput perform network wide rang paramet valu

Resumos Similares

Neural Comput - Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons. ( 0,838063262541458 )
Neural Comput - On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks. ( 0,830235873375299 )
Neural Comput - Computing with a canonical neural circuits model with pool normalization and modulating feedback. ( 0,830191193353007 )
Neural Comput - Intrinsic adaptation in autonomous recurrent neural networks. ( 0,830043077749582 )
Neural Comput - Analysis of the stabilized supralinear network. ( 0,829837880091621 )
Neural Comput - Noise tolerance of attractor and feedforward memory models. ( 0,826857108844812 )
Int J Neural Syst - Modeling fluctuations in default-mode brain network using a spiking neural network. ( 0,820765235467412 )
Neural Comput - Anatomical constraints on lateral competition in columnar cortical architectures. ( 0,815705331529127 )
Neural Comput - Fragility in dynamic networks: application to neural networks in the epileptic cortex. ( 0,814563696795852 )
Int J Neural Syst - Hardware implementation of stochastic spiking neural networks. ( 0,813266860698834 )
Comput Math Methods Med - Voxel scale complex networks of functional connectivity in the rat brain: neurochemical state dependence of global and local topological properties. ( 0,809187830055368 )
Neural Comput - How to compress sequential memory patterns into periodic oscillations: general reduction rules. ( 0,807136110357906 )
Int J Neural Syst - Adaptation-dependent synchronization transitions and burst generations in electrically coupled neural networks. ( 0,800855957943078 )
Neural Comput - The competing benefits of noise and heterogeneity in neural coding. ( 0,800771254603162 )
Neural Comput - Dynamical synapses enhance neural information processing: gracefulness, accuracy, and mobility. ( 0,799718831061256 )
Neural Comput - Traveling bumps and their collisions in a two-dimensional neural field. ( 0,798369741054042 )
Neural Comput - Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons. ( 0,798141360349576 )
Neural Comput - Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks. ( 0,794636927403552 )
Neural Comput - Replicating receptive fields of simple and complex cells in primary visual cortex in a neuronal network model with temporal and population sparseness and reliability. ( 0,79351952609615 )
Neural Comput - Neutral stability, rate propagation, and critical branching in feedforward networks. ( 0,789161147546462 )
J Chem Inf Model - New Markov-autocorrelation indices for re-evaluation of links in chemical and biological complex networks used in metabolomics, parasitology, neurosciences, and epidemiology. ( 0,788769504619701 )
Neural Comput - Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactions. ( 0,783901153939661 )
J Chem Inf Model - Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors. ( 0,782743634311907 )
Neural Comput - Neuronal assembly dynamics in supervised and unsupervised learning scenarios. ( 0,780474102802824 )
Neural Comput - Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release. ( 0,778222406877549 )
IEEE Trans Neural Netw Learn Syst - Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov-Krasovskii Functionals. ( 0,776844217712484 )
Neural Comput - Natural gradient learning algorithms for RBF networks. ( 0,771375291778277 )
Neural Comput - Information-geometric measures for estimation of connection weight under correlated inputs. ( 0,771239601766486 )
Neural Comput - Applying the multivariate time-rescaling theorem to neural population models. ( 0,768617871132819 )
Neural Comput - The hippocampus as a stable memory allocator for cortex. ( 0,766129245003152 )
IEEE Trans Neural Netw Learn Syst - Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control. ( 0,765414671341163 )
Neural Comput - Collective stability of networks of winner-take-all circuits. ( 0,765374364752522 )
Brief. Bioinformatics - BioFNet: biological functional network database for analysis and synthesis of biological systems. ( 0,763989626655753 )
Int J Neural Syst - A neuron-based time-optimal controller of horizontal saccadic eye movements. ( 0,762163693563996 )
IEEE Trans Neural Netw Learn Syst - Graph Theory-Based Approach for Stability Analysis of Stochastic Coupled Systems With L?vy Noise on Networks. ( 0,758564519248814 )
Neural Comput - Subthreshold membrane depolarization as memory trace for perceptual learning. ( 0,757611357535512 )
Neural Comput - Sequential activity in asymmetrically coupled winner-take-all circuits. ( 0,756223581177748 )
Comput Math Methods Med - Concentration-invariant odor representation in the olfactory system by presynaptic inhibition. ( 0,754999141303661 )
Comput. Biol. Med. - Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. ( 0,754333999761813 )
IEEE Trans Neural Netw Learn Syst - Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. ( 0,754265693374378 )
Neural Comput - Mechanisms that modulate the transfer of spiking correlations. ( 0,754141769551188 )
Neural Comput - Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoire. ( 0,753163780176134 )
Neural Comput - Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval. ( 0,752305300185679 )
Neural Comput - A low-order model of biological neural networks. ( 0,751818755207346 )
Neural Comput - Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design. ( 0,751759147676563 )
Int J Neural Syst - From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. ( 0,751266483656057 )
Neural Comput - Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons. ( 0,748890958164569 )
Neural Comput - Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function. ( 0,74822462546385 )
Neural Comput - Motor cortex microcircuit simulation based on brain activity mapping. ( 0,746835663416677 )
Neural Comput - Learning rule of homeostatic synaptic scaling: presynaptic dependent or not. ( 0,746791852247931 )
Neural Comput - Subdiffusive dynamics of bump attractors: mechanisms and functional roles. ( 0,746780558797056 )
Int J Neural Syst - Evolving RBF neural networks for adaptive soft-sensor design. ( 0,742335951509699 )
Neural Comput - Facilitation of neuronal responses by intrinsic default mode network activity. ( 0,740770717210117 )
Comput Math Methods Med - A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification. ( 0,73888041906772 )
Int J Neural Syst - Effects of extremely low-frequency magnetic fields on the response of a conductance-based neuron model. ( 0,738366882108082 )
Neural Comput - Design strategies for weight matrices of echo state networks. ( 0,736675651553213 )
Neural Comput - Short-term memory capacity in networks via the restricted isometry property. ( 0,735958348080095 )
Neural Comput - A no-go theorem for one-layer feedforward networks. ( 0,733047022632533 )
IEEE Trans Neural Netw Learn Syst - Complex-Valued Recurrent Correlation Neural Networks. ( 0,732506734839085 )
IEEE Trans Neural Netw Learn Syst - Phase Oscillatory Network and Visual Pattern Recognition. ( 0,731759291133118 )
Neural Comput - Decorrelation by recurrent inhibition in heterogeneous neural circuits. ( 0,72930749364776 )
Neural Comput - A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks. ( 0,728800985859447 )
Neural Comput - Encoding binary neural codes in networks of threshold-linear neurons. ( 0,728732995513076 )
Neural Comput - Neural information processing with feedback modulations. ( 0,728571621602358 )
Med Decis Making - Cost-Effectiveness Uncertainty Analysis Methods: A Comparison of One-Way Sensitivity, Analysis of Covariance, and Expected Value of Partial Perfect Information. ( 0,727699099375515 )
Int J Neural Syst - Optimal sparse approximation with integrate and fire neurons. ( 0,727479542909924 )
Comput Math Methods Med - Analysis of epileptic seizures with complex network. ( 0,727206792617292 )
Neural Comput - A self-organized neural comparator. ( 0,726043194669993 )
Neural Comput - On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses. ( 0,724514931953796 )
Comput Math Methods Med - Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks. ( 0,723262647957036 )
Comput Math Methods Med - Weighted phase lag index and graph analysis: preliminary investigation of functional connectivity during resting state in children. ( 0,723244698778951 )
Neural Comput - A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics. ( 0,722947434318485 )
Neural Comput - Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex. ( 0,719983837278947 )
Neural Comput - Chaotic exploration and learning of locomotion behaviors. ( 0,719795117878715 )
Comput Math Methods Med - Synchronization of coupled different chaotic FitzHugh-Nagumo neurons with unknown parameters under communication-direction-dependent coupling. ( 0,718092326910843 )
Int J Neural Syst - Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow. ( 0,714513691964906 )
Neural Comput - The computational power of interactive recurrent neural networks. ( 0,713532832102086 )
Neural Comput - Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies. ( 0,712683273555128 )
Int J Neural Syst - Relationship between applicability of current-based synapses and uniformity of firing patterns. ( 0,711712323171998 )
Neural Comput - On the continuous differentiability of inter-spike intervals of synaptically connected cortical spiking neurons in a neuronal network. ( 0,711497369867378 )
Neural Comput - Predicting single-neuron activity in locally connected networks. ( 0,711284140079686 )
Neural Comput - Information recall using relative spike timing in a spiking neural network. ( 0,710445341523415 )
Brief. Bioinformatics - Inference of dynamic networks using time-course data. ( 0,710009287294018 )
Neural Comput - Statistical mechanics of reward-modulated learning in decision-making networks. ( 0,709214525023007 )
Neural Comput - A calcium-based simple model of multiple spike interactions in spike-timing-dependent plasticity. ( 0,708517548377469 )
Neural Comput - Statistical computer model analysis of the reciprocal and recurrent inhibitions of the Ia-EPSP in a-motoneurons. ( 0,70678914097458 )
Neural Comput - A bayesian model of polychronicity. ( 0,706123168489757 )
IEEE Trans Neural Netw Learn Syst - A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study. ( 0,705386704199345 )
Comput Methods Programs Biomed - A model of cerebral cortex formation during fetal development using reaction-diffusion-convection equations with Turing space parameters. ( 0,70362633291159 )
Neural Comput - Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons. ( 0,702413139228729 )
Neural Comput - Spike-timing-dependent construction. ( 0,702118397648184 )
Comput Math Methods Med - Robust synchronization of delayed chaotic FitzHugh-Nagumo neurons under external electrical stimulation. ( 0,699063177602282 )
Comput Math Methods Med - Results on a binding neuron model and their implications for modified hourglass model for neuronal network. ( 0,698045094299338 )
Neural Comput - A spike-timing-based integrated model for pattern recognition. ( 0,694806255495978 )
Neural Comput - Synchronization and redundancy: implications for robustness of neural learning and decision making. ( 0,694488996570514 )
Neural Comput - Self-organization of topographic bilinear networks for invariant recognition. ( 0,693820820922646 )
Neural Comput - A self-organized artificial neural network architecture for sensory integration with applications to letter-phoneme integration. ( 0,693458596135575 )
Neural Comput - Tuning low-voltage-activated A-current for silent gain modulation. ( 0,691738490253687 )
Neural Comput - A new supervised learning algorithm for spiking neurons. ( 0,69130093643406 )
Neural Comput - Inhibition in multiclass classification. ( 0,690984663741634 )