Comput Math Methods Med - Results on a binding neuron model and their implications for modified hourglass model for neuronal network.

Tópicos

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

Resumo

The classical models of single neuron like Hodgkin-Huxley point neuron or leaky integrate and fire neuron assume the influence of postsynaptic potentials to last till the neuron fires. Vidybida (2008) in a refreshing departure has proposed models for binding neurons in which the trace of an input is remembered only for a finite fixed period of time after which it is forgotten. The binding neurons conform to the behaviour of real neurons and are applicable in constructing fast recurrent networks for computer modeling. This paper develops explicitly several useful results for a binding neuron like the firing time distribution and other statistical characteristics. We also discuss the applicability of the developed results in constructing a modified hourglass network model in which there are interconnected neurons with excitatory as well as inhibitory inputs. Limited simulation results of the hourglass network are presented.

Resumo Limpo

classic model singl neuron like hodgkinhuxley point neuron leaki integr fire neuron assum influenc postsynapt potenti last till neuron fire vidybida refresh departur propos model bind neuron trace input rememb finit fix period time forgotten bind neuron conform behaviour real neuron applic construct fast recurr network comput model paper develop explicit sever use result bind neuron like fire time distribut statist characterist also discuss applic develop result construct modifi hourglass network model interconnect neuron excitatori well inhibitori input limit simul result hourglass network present

Resumos Similares

IEEE Trans Neural Netw Learn Syst - Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. ( 0,794503688046617 )
Neural Comput - Neutral stability, rate propagation, and critical branching in feedforward networks. ( 0,791527202165389 )
Neural Comput - Neural associative memory with optimal Bayesian learning. ( 0,777962945362296 )
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. ( 0,771166748842209 )
IEEE Trans Neural Netw Learn Syst - Complex-Valued Recurrent Correlation Neural Networks. ( 0,766887550339095 )
Neural Comput - Fragility in dynamic networks: application to neural networks in the epileptic cortex. ( 0,764057886906512 )
Neural Comput - Dynamical synapses enhance neural information processing: gracefulness, accuracy, and mobility. ( 0,763493586284538 )
Neural Comput - Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks. ( 0,762385162701911 )
Neural Comput - Noise tolerance of attractor and feedforward memory models. ( 0,754492945601257 )
Neural Comput - Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons. ( 0,753222440829148 )
Comput Math Methods Med - Analysis of epileptic seizures with complex network. ( 0,744969883730007 )
Neural Comput - How to compress sequential memory patterns into periodic oscillations: general reduction rules. ( 0,741668185871439 )
Comput Math Methods Med - Concentration-invariant odor representation in the olfactory system by presynaptic inhibition. ( 0,740522957358388 )
Neural Comput - Learning quadratic receptive fields from neural responses to natural stimuli. ( 0,73993453921057 )
Int J Neural Syst - Hardware implementation of stochastic spiking neural networks. ( 0,73431168230196 )
Neural Comput - Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons. ( 0,729856532810694 )
Neural Comput - Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactions. ( 0,729836057136391 )
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. ( 0,72951597956776 )
J Chem Inf Model - Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors. ( 0,729002125771168 )
Int J Neural Syst - Modeling fluctuations in default-mode brain network using a spiking neural network. ( 0,727771735103803 )
Neural Comput - Computing with a canonical neural circuits model with pool normalization and modulating feedback. ( 0,718791972209972 )
Neural Comput - Analysis of the stabilized supralinear network. ( 0,716953622343472 )
Int J Neural Syst - Adaptation-dependent synchronization transitions and burst generations in electrically coupled neural networks. ( 0,712993633144436 )
Neural Comput - Traveling bumps and their collisions in a two-dimensional neural field. ( 0,711063858846844 )
Neural Comput - Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release. ( 0,710424913211983 )
Neural Comput - Design strategies for weight matrices of echo state networks. ( 0,70719779307876 )
J Med Syst - Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron. ( 0,707051198833711 )
Neural Comput - Decorrelation of spiking variability and improved information transfer through feedforward divisive normalization. ( 0,705398813965853 )
Neural Comput - Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval. ( 0,703114132892798 )
Neural Comput - Subdiffusive dynamics of bump attractors: mechanisms and functional roles. ( 0,702635923240564 )
Neural Comput - Intrinsic adaptation in autonomous recurrent neural networks. ( 0,701886103946347 )
Neural Comput - Efficient sensory encoding and Bayesian inference with heterogeneous neural populations. ( 0,699396195964224 )
Neural Comput - Projective clustering using neural networks with adaptive delay and signal transmission loss. ( 0,698045094299338 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,697651766742977 )
Int J Neural Syst - Evolving RBF neural networks for adaptive soft-sensor design. ( 0,697055238091832 )
Neural Comput - Anatomical constraints on lateral competition in columnar cortical architectures. ( 0,695427282999443 )
Neural Comput - The competing benefits of noise and heterogeneity in neural coding. ( 0,694967893705885 )
Neural Comput - Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoire. ( 0,693587057716821 )
Comput Math Methods Med - Voxel scale complex networks of functional connectivity in the rat brain: neurochemical state dependence of global and local topological properties. ( 0,69168356999938 )
Neural Comput - Information-geometric measures for estimation of connection weight under correlated inputs. ( 0,690155423780249 )
Neural Comput - Neuronal assembly dynamics in supervised and unsupervised learning scenarios. ( 0,688315235634275 )
Neural Comput - Natural gradient learning algorithms for RBF networks. ( 0,686625062766988 )
Neural Comput - A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks. ( 0,686538512317939 )
Neural Comput - Supervised learning in multilayer spiking neural networks. ( 0,685436437565034 )
Neural Comput - Collective stability of networks of winner-take-all circuits. ( 0,684935338575487 )
Neural Comput - Chaotic exploration and learning of locomotion behaviors. ( 0,682197665287774 )
Comput Math Methods Med - A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification. ( 0,680833264648832 )
Neural Comput - Short-term memory capacity in networks via the restricted isometry property. ( 0,679703434975561 )
Comput. Biol. Med. - Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. ( 0,677733001765051 )
Neural Comput - How the brain generates movement. ( 0,677699020617439 )
Neural Comput - Facilitation of neuronal responses by intrinsic default mode network activity. ( 0,676757489595269 )
Neural Comput - Motor cortex microcircuit simulation based on brain activity mapping. ( 0,676468274302199 )
Neural Comput - Predicting single-neuron activity in locally connected networks. ( 0,675982030906866 )
J Biomed Inform - FALCON or how to compute measures time efficiently on dynamically evolving dense complex networks? ( 0,674105297645824 )
Comput Math Methods Med - Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks. ( 0,671930987025868 )
Comput. Biol. Med. - Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. ( 0,67171519425679 )
Neural Comput - Bayesian active learning of neural firing rate maps with transformed gaussian process priors. ( 0,67077438835373 )
Neural Comput - Self-organization of topographic bilinear networks for invariant recognition. ( 0,670510043756921 )
Neural Comput - Mechanisms that modulate the transfer of spiking correlations. ( 0,669565217391304 )
IEEE Trans Neural Netw Learn Syst - Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control. ( 0,667988026803302 )
Neural Comput - On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses. ( 0,666831336711581 )
Neural Comput - Decorrelation by recurrent inhibition in heterogeneous neural circuits. ( 0,666597054111015 )
Neural Comput - Encoding through patterns: regression tree-based neuronal population models. ( 0,663770997169769 )
Neural Comput - Synchronization and redundancy: implications for robustness of neural learning and decision making. ( 0,663770884748355 )
Neural Comput - Discovering functional neuronal connectivity from serial patterns in spike train data. ( 0,663650625611982 )
Int J Neural Syst - Effects of extremely low-frequency magnetic fields on the response of a conductance-based neuron model. ( 0,662354961869 )
Brief. Bioinformatics - BioFNet: biological functional network database for analysis and synthesis of biological systems. ( 0,660439341819976 )
Neural Comput - Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains. ( 0,65996375195336 )
IEEE Trans Neural Netw Learn Syst - Phase Oscillatory Network and Visual Pattern Recognition. ( 0,658470434485906 )
Neural Comput - Approximate, computationally efficient online learning in Bayesian spiking neurons. ( 0,658242628763012 )
Neural Comput - Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. ( 0,657684387223029 )
Neural Comput - Encoding binary neural codes in networks of threshold-linear neurons. ( 0,656301544192548 )
Int J Neural Syst - Perceptual suppression revealed by adaptive multi-scale entropy analysis of local field potential in monkey visual cortex. ( 0,655938669536146 )
Neural Comput - A new supervised learning algorithm for spiking neurons. ( 0,65590877176841 )
Int J Neural Syst - A neuron-based time-optimal controller of horizontal saccadic eye movements. ( 0,652189249110383 )
Neural Comput - Neuronal responses below firing threshold for subthreshold cross-modal enhancement. ( 0,65216547912394 )
Neural Comput - Subthreshold membrane depolarization as memory trace for perceptual learning. ( 0,65133479932744 )
Neural Comput - Regulation of ambient GABA levels by neuron-glia signaling for reliable perception of multisensory events. ( 0,648771120596055 )
Neural Comput - A bayesian model of polychronicity. ( 0,646058282469799 )
Neural Comput - Dissociable forms of repetition priming: a computational model. ( 0,645979736109216 )
IEEE Trans Neural Netw Learn Syst - Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. ( 0,6457286475982 )
Neural Comput - The hippocampus as a stable memory allocator for cortex. ( 0,641833430769433 )
Neural Comput - A self-organized artificial neural network architecture for sensory integration with applications to letter-phoneme integration. ( 0,64177383834398 )
Neural Comput - Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons. ( 0,641445409277086 )
Neural Comput - Competition through selective inhibitory synchrony. ( 0,641439396055222 )
J Integr Bioinform - An integrative approach to modeling biological networks. ( 0,640650330561395 )
Neural Comput - Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex. ( 0,638731568747182 )
Neural Comput - On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks. ( 0,637714484893996 )
Comput Math Methods Med - Functional magnetic resonance imaging for imaging neural activity in the human brain: the annual progress. ( 0,637510084659486 )
Neural Comput - Formation and regulation of dynamic patterns in two-dimensional spiking neural circuits with spike-timing-dependent plasticity. ( 0,633844850583919 )
Neural Comput - Spike-timing-dependent construction. ( 0,633293584996977 )
Neural Comput - Dynamical regimes in neural network models of matching behavior. ( 0,633258723345021 )
Neural Comput - Spike-based probabilistic inference in analog graphical models using interspike-interval coding. ( 0,632417896698648 )
Comput Math Methods Med - A computationally efficient, exploratory approach to brain connectivity incorporating false discovery rate control, a priori knowledge, and group inference. ( 0,631172907196332 )
IEEE Trans Neural Netw Learn Syst - Context Dependent Encoding Using Convolutional Dynamic Networks. ( 0,629932789252969 )
Neural Comput - Neural information processing with feedback modulations. ( 0,629847083092671 )
Neural Comput - Fisher and Shannon information in finite neural populations. ( 0,629404620209318 )
Neural Comput - Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons. ( 0,627225883412465 )
Int J Neural Syst - A new work mechanism on neuronal activity. ( 0,627217150250612 )
Brief. Bioinformatics - Validation of gene regulatory networks: scientific and inferential. ( 0,626867051690645 )