Neural Comput - Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoire.

Tópicos

{ network(2748) neural(1063) input(814) }
{ data(3008) multipl(1320) sourc(1022) }
{ detect(2391) sensit(1101) algorithm(908) }
{ model(2220) cell(1177) simul(1124) }
{ compound(1573) activ(1297) structur(1058) }
{ take(945) account(800) differ(722) }
{ model(3480) simul(1196) paramet(876) }
{ bind(1733) structur(1185) ligand(1036) }
{ imag(1947) propos(1133) code(1026) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ analysi(2126) use(1163) compon(1037) }
{ result(1111) use(1088) new(759) }
{ can(774) often(719) complex(702) }
{ measur(2081) correl(1212) valu(896) }
{ imag(2830) propos(1344) filter(1198) }
{ howev(809) still(633) remain(590) }
{ cost(1906) reduc(1198) effect(832) }
{ use(976) code(926) identifi(902) }
{ model(3404) distribut(989) bayesian(671) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ framework(1458) process(801) describ(734) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ studi(1410) differ(1259) use(1210) }
{ research(1085) discuss(1038) issu(1018) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ ehr(2073) health(1662) electron(1139) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ inform(2794) health(2639) internet(1427) }
{ imag(1057) registr(996) error(939) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ 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) }
{ 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) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ 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) }
{ 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) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ 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) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

A recent model of intrinsic plasticity coupled to Hebbian synaptic plasticity proposes that adaptation of a neuron's threshold and gain in a sigmoidal response function to achieve a sparse, exponential output firing rate distribution facilitates the discovery of heavy-tailed or super- gaussian sources in the neuron's inputs. We show that the exponential output distribution is irrelevant to these dynamics and that, furthermore, while sparseness is sufficient, it is not necessary. The intrinsic plasticity mechanism drives the neuron's threshold large and positive, and we prove that in such a regime, the neuron will find supergaussian sources; equally, however, if the threshold is large and negative (an antisparse regime), it will also find supergaussian sources. Away from such extremes, the neuron can also discover subgaussian sources. By examining a neuron with a fixed sigmoidal nonlinearity and considering the synaptic strength fixed-point structure in the two-dimensional parameter space defined by the neuron's threshold and gain, we show that this space is carved up into sub- and supergaussian-input-finding regimes, possibly with regimes of simultaneous stability of sub- and supergaussian sources or regimes of instability of all sources; a single gaussian source may also be stabilized by the presence of a nongaussian source. A neuron's operating point (essentially its threshold and gain coupled with its input statistics) therefore critically determines its computational repertoire. Intrinsic plasticity mechanisms induce trajectories in this parameter space but do not fundamentally modify it. Unless the trajectories cross critical boundaries in this space, intrinsic plasticity is irrelevant and the neuron's nonlinearity may be frozen with identical receptive field refinement dynamics.

Resumo Limpo

recent model intrins plastic coupl hebbian synapt plastic propos adapt neuron threshold gain sigmoid respons function achiev spars exponenti output fire rate distribut facilit discoveri heavytail super gaussian sourc neuron input show exponenti output distribut irrelev dynam furthermor spars suffici necessari intrins plastic mechan drive neuron threshold larg posit prove regim neuron will find supergaussian sourc equal howev threshold larg negat antispars regim will also find supergaussian sourc away extrem neuron can also discov subgaussian sourc examin neuron fix sigmoid nonlinear consid synapt strength fixedpoint structur twodimension paramet space defin neuron threshold gain show space carv sub supergaussianinputfind regim possibl regim simultan stabil sub supergaussian sourc regim instabl sourc singl gaussian sourc may also stabil presenc nongaussian sourc neuron oper point essenti threshold gain coupl input statist therefor critic determin comput repertoir intrins plastic mechan induc trajectori paramet space fundament modifi unless trajectori cross critic boundari space intrins plastic irrelev neuron nonlinear may frozen ident recept field refin dynam

Resumos Similares

Neural Comput - Fragility in dynamic networks: application to neural networks in the epileptic cortex. ( 0,854264303902566 )
Int J Neural Syst - Modeling fluctuations in default-mode brain network using a spiking neural network. ( 0,848203126803477 )
Int J Neural Syst - Adaptation-dependent synchronization transitions and burst generations in electrically coupled neural networks. ( 0,835900228429578 )
Neural Comput - Neutral stability, rate propagation, and critical branching in feedforward networks. ( 0,835600657214654 )
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. ( 0,823600949235539 )
Neural Comput - Analysis of the stabilized supralinear network. ( 0,822274502216393 )
Neural Comput - Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactions. ( 0,819611862341468 )
J Chem Inf Model - Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors. ( 0,817769872026133 )
Neural Comput - Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons. ( 0,816487084706326 )
Neural Comput - Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks. ( 0,816082190801836 )
Neural Comput - Noise tolerance of attractor and feedforward memory models. ( 0,814936902420315 )
Neural Comput - The competing benefits of noise and heterogeneity in neural coding. ( 0,811468343354409 )
Neural Comput - Subthreshold membrane depolarization as memory trace for perceptual learning. ( 0,807403320642341 )
Neural Comput - Regulation of ambient GABA levels by neuron-glia signaling for reliable perception of multisensory events. ( 0,802457998013005 )
Neural Comput - Dynamical synapses enhance neural information processing: gracefulness, accuracy, and mobility. ( 0,800727967855397 )
Neural Comput - Motor cortex microcircuit simulation based on brain activity mapping. ( 0,798165342886867 )
Neural Comput - Intrinsic adaptation in autonomous recurrent neural networks. ( 0,797411246532573 )
Neural Comput - Anatomical constraints on lateral competition in columnar cortical architectures. ( 0,796651517979533 )
Neural Comput - Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons. ( 0,792766208203633 )
Comput Math Methods Med - Voxel scale complex networks of functional connectivity in the rat brain: neurochemical state dependence of global and local topological properties. ( 0,791801207717172 )
Neural Comput - Synchronization and redundancy: implications for robustness of neural learning and decision making. ( 0,789812726616998 )
Neural Comput - Facilitation of neuronal responses by intrinsic default mode network activity. ( 0,787338586327881 )
Neural Comput - Computing with a canonical neural circuits model with pool normalization and modulating feedback. ( 0,782122896731856 )
Neural Comput - Design strategies for weight matrices of echo state networks. ( 0,782037413178591 )
Neural Comput - Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex. ( 0,780592718774162 )
Neural Comput - How to compress sequential memory patterns into periodic oscillations: general reduction rules. ( 0,780278989640981 )
Comput Math Methods Med - Concentration-invariant odor representation in the olfactory system by presynaptic inhibition. ( 0,77965903171043 )
IEEE Trans Neural Netw Learn Syst - Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. ( 0,776727948838222 )
Neural Comput - Traveling bumps and their collisions in a two-dimensional neural field. ( 0,774439136647008 )
Neural Comput - Collective stability of networks of winner-take-all circuits. ( 0,774176997413719 )
Neural Comput - Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release. ( 0,773292641899177 )
Neural Comput - Natural gradient learning algorithms for RBF networks. ( 0,770975792044053 )
Neural Comput - Tuning low-voltage-activated A-current for silent gain modulation. ( 0,767606322319797 )
Neural Comput - Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval. ( 0,765312003240761 )
Neural Comput - Short-term memory capacity in networks via the restricted isometry property. ( 0,764092863374596 )
Neural Comput - Information-geometric measures for estimation of connection weight under correlated inputs. ( 0,763609518516978 )
Int J Neural Syst - A neuron-based time-optimal controller of horizontal saccadic eye movements. ( 0,76326989620012 )
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. ( 0,762480757301754 )
Neural Comput - Mechanisms that modulate the transfer of spiking correlations. ( 0,76118125629666 )
Neural Comput - A no-go theorem for one-layer feedforward networks. ( 0,760635548794762 )
Neural Comput - Encoding binary neural codes in networks of threshold-linear neurons. ( 0,759737791413519 )
Neural Comput - Chaotic exploration and learning of locomotion behaviors. ( 0,759034152531436 )
Neural Comput - On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks. ( 0,758246594127472 )
Brief. Bioinformatics - BioFNet: biological functional network database for analysis and synthesis of biological systems. ( 0,754686728458491 )
Int J Neural Syst - Hardware implementation of stochastic spiking neural networks. ( 0,753941337469614 )
Neural Comput - Projective clustering using neural networks with adaptive delay and signal transmission loss. ( 0,753163780176133 )
IEEE Trans Neural Netw Learn Syst - Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov-Krasovskii Functionals. ( 0,752205649542178 )
Comput Math Methods Med - A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification. ( 0,751973564310658 )
Neural Comput - Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function. ( 0,748441373880512 )
Comput Math Methods Med - Analysis of epileptic seizures with complex network. ( 0,748088005281585 )
Neural Comput - Subdiffusive dynamics of bump attractors: mechanisms and functional roles. ( 0,747129486658608 )
Int J Neural Syst - Evolving RBF neural networks for adaptive soft-sensor design. ( 0,746869534910518 )
Int J Neural Syst - Effects of extremely low-frequency magnetic fields on the response of a conductance-based neuron model. ( 0,746660023843181 )
Neural Comput - A bayesian model of polychronicity. ( 0,742211080579907 )
Comput Math Methods Med - Predicting tooth surface loss using genetic algorithms-optimized artificial neural networks. ( 0,740345575254835 )
IEEE Trans Neural Netw Learn Syst - Complex-Valued Recurrent Correlation Neural Networks. ( 0,739915566277715 )
Neural Comput - Decorrelation by recurrent inhibition in heterogeneous neural circuits. ( 0,73575907959142 )
Neural Comput - Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. ( 0,734898477806257 )
Neural Comput - Spike-timing-dependent construction. ( 0,734776891202223 )
Neural Comput - Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons. ( 0,734202783194355 )
Neural Comput - Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons. ( 0,728637816236478 )
Int J Neural Syst - Optimal sparse approximation with integrate and fire neurons. ( 0,728453046044292 )
Neural Comput - Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design. ( 0,728316802369101 )
IEEE Trans Neural Netw Learn Syst - Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control. ( 0,728151193260392 )
Neural Comput - Neuronal assembly dynamics in supervised and unsupervised learning scenarios. ( 0,727243793729899 )
Int J Neural Syst - From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. ( 0,723860631539287 )
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. ( 0,723782490264696 )
J Biomed Inform - FALCON or how to compute measures time efficiently on dynamically evolving dense complex networks? ( 0,723302337749531 )
Int J Neural Syst - A new work mechanism on neuronal activity. ( 0,720452723389225 )
Neural Comput - Predicting single-neuron activity in locally connected networks. ( 0,718794790960919 )
IEEE Trans Neural Netw Learn Syst - Phase Oscillatory Network and Visual Pattern Recognition. ( 0,718131274366185 )
Neural Comput - Applying the multivariate time-rescaling theorem to neural population models. ( 0,717853364956004 )
Neural Comput - Dissociable forms of repetition priming: a computational model. ( 0,716307945243599 )
Comput Math Methods Med - Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks. ( 0,714968409354242 )
Comput Methods Programs Biomed - Introducing treatment strategy for cerebellar ataxia in mutant med mice: combination of acetazolamide and 4-aminopyridine. ( 0,714026677090434 )
Comput. Biol. Med. - Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. ( 0,712128314632533 )
Neural Comput - Neural information processing with feedback modulations. ( 0,710843752396504 )
Neural Comput - A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks. ( 0,710334267272414 )
Neural Comput - Broken symmetries in a location-invariant word recognition network. ( 0,710217903183727 )
IEEE Trans Neural Netw Learn Syst - Graph Theory-Based Approach for Stability Analysis of Stochastic Coupled Systems With L?vy Noise on Networks. ( 0,710005406295679 )
Neural Comput - Sequential activity in asymmetrically coupled winner-take-all circuits. ( 0,708994421639335 )
Neural Comput - A self-organized artificial neural network architecture for sensory integration with applications to letter-phoneme integration. ( 0,708931714429499 )
Neural Comput - Learning rule of homeostatic synaptic scaling: presynaptic dependent or not. ( 0,707720949575728 )
Neural Comput - Discovering functional neuronal connectivity from serial patterns in spike train data. ( 0,702712078041554 )
J. Comput. Biol. - Exactly computing the parsimony scores on phylogenetic networks using dynamic programming. ( 0,69975646999024 )
Neural Comput - On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses. ( 0,699460500883245 )
Neural Comput - A new supervised learning algorithm for spiking neurons. ( 0,698571886487602 )
Int J Neural Syst - Relationship between applicability of current-based synapses and uniformity of firing patterns. ( 0,69823419360712 )
Neural Comput - Statistical computer model analysis of the reciprocal and recurrent inhibitions of the Ia-EPSP in a-motoneurons. ( 0,697952309810507 )
Neural Comput - What is the limit of redundancy reduction with divisive normalization? ( 0,694785774701291 )
Int J Neural Syst - Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow. ( 0,694697348348736 )
Neural Comput - Information recall using relative spike timing in a spiking neural network. ( 0,694587005503141 )
Neural Comput - Noise facilitation in associative memories of exponential capacity. ( 0,694531356394707 )
Comput Math Methods Med - Results on a binding neuron model and their implications for modified hourglass model for neuronal network. ( 0,693587057716821 )
Neural Comput - Decorrelation of spiking variability and improved information transfer through feedforward divisive normalization. ( 0,693107864463914 )
Med Decis Making - Cost-Effectiveness Uncertainty Analysis Methods: A Comparison of One-Way Sensitivity, Analysis of Covariance, and Expected Value of Partial Perfect Information. ( 0,69192917987343 )
Int J Neural Syst - Perceptual suppression revealed by adaptive multi-scale entropy analysis of local field potential in monkey visual cortex. ( 0,690523209347869 )
IEEE Trans Vis Comput Graph - A Modular Degree-of-Interest Specification for the Visual Analysis of Large Dynamic Networks. ( 0,688879036404898 )
IEEE Trans Image Process - Multifeature-based surround inhibition improves contour detection in natural images. ( 0,688438961266597 )
Neural Comput - Self-organization of topographic bilinear networks for invariant recognition. ( 0,686883623092061 )