Neural Comput - Stochastic optimal control as a theory of brain-machine interface operation.

Tópicos

{ network(2748) neural(1063) input(814) }
{ control(1307) perform(991) simul(935) }
{ model(2341) predict(2261) use(1141) }
{ model(3404) distribut(989) bayesian(671) }
{ data(2317) use(1299) case(1017) }
{ cost(1906) reduc(1198) effect(832) }
{ activ(1138) subject(705) human(624) }
{ framework(1458) process(801) describ(734) }
{ first(2504) two(1366) second(1323) }
{ research(1218) medic(880) student(794) }
{ patient(1821) servic(1111) care(1106) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ featur(3375) classif(2383) classifi(1994) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ clinic(1479) use(1117) guidelin(835) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ howev(809) still(633) remain(590) }
{ import(1318) role(1303) understand(862) }
{ structur(1116) can(940) graph(676) }
{ estim(2440) model(1874) function(577) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ method(1219) similar(1157) match(930) }
{ motion(1329) object(1292) video(1091) }
{ chang(1828) time(1643) increas(1301) }
{ perform(999) metric(946) measur(919) }
{ compound(1573) activ(1297) structur(1058) }
{ health(3367) inform(1360) care(1135) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ implement(1333) system(1263) develop(1122) }
{ activ(1452) weight(1219) physic(1104) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ 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) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ 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) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ visual(1396) interact(850) tool(830) }
{ 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) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ 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) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }

Resumo

The closed-loop operation of brain-machine interfaces (BMI) provides a framework to study the mechanisms behind neural control through a restricted output channel, with emerging clinical applications to stroke, degenerative disease, and trauma. Despite significant empirically driven improvements in closed-loop BMI systems, a fundamental, experimentally validated theory of closed-loop BMI operation is lacking. Here we propose a compact model based on stochastic optimal control to describe the brain in skillfully operating canonical decoding algorithms. The model produces goal-directed BMI movements with sensory feedback and intrinsically noisy neural output signals. Various experimentally validated phenomena emerge naturally from this model, including performance deterioration with bin width, compensation of biased decoders, and shifts in tuning curves between arm control and BMI control. Analysis of the model provides insight into possible mechanisms underlying these behaviors, with testable predictions. Spike binning may erode performance in part from intrinsic control-dependent constraints, regardless of decoding accuracy. In compensating decoder bias, the brain may incur an energetic cost associated with action potential production. Tuning curve shifts, seen after the mastery of a BMI-based skill, may reflect the brain's implementation of a new closed-loop control policy. The direction and magnitude of tuning curve shifts may be altered by decoder structure, ensemble size, and the costs of closed-loop control. Looking forward, the model provides a framework for the design and simulated testing of an emerging class of BMI algorithms that seek to directly exploit the presence of a human in the loop.

Resumo Limpo

closedloop oper brainmachin interfac bmi provid framework studi mechan behind neural control restrict output channel emerg clinic applic stroke degen diseas trauma despit signific empir driven improv closedloop bmi system fundament experiment valid theori closedloop bmi oper lack propos compact model base stochast optim control describ brain skill oper canon decod algorithm model produc goaldirect bmi movement sensori feedback intrins noisi neural output signal various experiment valid phenomena emerg natur model includ perform deterior bin width compens bias decod shift tune curv arm control bmi control analysi model provid insight possibl mechan under behavior testabl predict spike bin may erod perform part intrins controldepend constraint regardless decod accuraci compens decod bias brain may incur energet cost associ action potenti product tune curv shift seen masteri bmibas skill may reflect brain implement new closedloop control polici direct magnitud tune curv shift may alter decod structur ensembl size cost closedloop control look forward model provid framework design simul test emerg class bmi algorithm seek direct exploit presenc human loop

Resumos Similares

Neural Comput - Adaptive decoding for brain-machine interfaces through Bayesian parameter updates. ( 0,700862382067187 )
Neural Comput - Neural information processing with feedback modulations. ( 0,700453117765428 )
Neural Comput - Dissociable forms of repetition priming: a computational model. ( 0,687419624738322 )
IEEE Trans Neural Netw Learn Syst - Adaptive Output-Feedback Neural Control of Switched Uncertain Nonlinear Systems With Average Dwell Time. ( 0,686226369780313 )
Neural Comput - Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex. ( 0,685842698038512 )
Neural Comput - Predicting single-neuron activity in locally connected networks. ( 0,683338865375819 )
Comput. Biol. Med. - Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. ( 0,682646597708537 )
Neural Comput - Chaotic exploration and learning of locomotion behaviors. ( 0,678837207229197 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,677847440693955 )
Neural Comput - Fragility in dynamic networks: application to neural networks in the epileptic cortex. ( 0,677440017597852 )
IEEE Trans Neural Netw Learn Syst - Adaptive neural control of nonlinear MIMO systems with time-varying output constraints. ( 0,663610549724953 )
Int J Neural Syst - A neuron-based time-optimal controller of horizontal saccadic eye movements. ( 0,65823653796027 )
Neural Comput - Competition through selective inhibitory synchrony. ( 0,648721027548222 )
Int J Neural Syst - A new work mechanism on neuronal activity. ( 0,647134970408966 )
Neural Comput - Neutral stability, rate propagation, and critical branching in feedforward networks. ( 0,646114637293545 )
Brief. Bioinformatics - Validation of gene regulatory networks: scientific and inferential. ( 0,645958563321339 )
Comput Math Methods Med - Analysis of epileptic seizures with complex network. ( 0,64480751317962 )
Neural Comput - Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release. ( 0,64329389783845 )
Neural Comput - Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. ( 0,641851737389515 )
IEEE Trans Neural Netw Learn Syst - Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. ( 0,639229411748829 )
Int J Neural Syst - Real-time EEG-based detection of fatigue driving danger for accident prediction. ( 0,638042953281146 )
Neural Comput - Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design. ( 0,637165208970327 )
IEEE Trans Neural Netw Learn Syst - Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions. ( 0,637159538967103 )
J Chem Inf Model - Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors. ( 0,636919489148607 )
Int J Neural Syst - Principal dynamic mode analysis of the Hodgkin-Huxley equations. ( 0,63551273644715 )
Neural Comput - Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. ( 0,63317728999467 )
Artif Intell Med - Multilevel Bayesian networks for the analysis of hierarchical health care data. ( 0,63207791483165 )
Neural Comput - How the brain generates movement. ( 0,630980605444342 )
Neural Comput - Synchronization and redundancy: implications for robustness of neural learning and decision making. ( 0,627807481836979 )
Neural Comput - New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end points. ( 0,623882437311871 )
Neural Comput - Spike-based probabilistic inference in analog graphical models using interspike-interval coding. ( 0,622275478573249 )
Int J Neural Syst - Evolving RBF neural networks for adaptive soft-sensor design. ( 0,62223436903991 )
Neural Comput - Learning quadratic receptive fields from neural responses to natural stimuli. ( 0,62190361158554 )
Neural Comput - Dynamical synapses enhance neural information processing: gracefulness, accuracy, and mobility. ( 0,62064716807893 )
IEEE Trans Neural Netw Learn Syst - Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. ( 0,619819625523621 )
Neural Comput - Bayesian active learning of neural firing rate maps with transformed gaussian process priors. ( 0,619439660821331 )
Neural Comput - Tuning low-voltage-activated A-current for silent gain modulation. ( 0,619345438888164 )
Neural Comput - Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactions. ( 0,619146239926173 )
Neural Comput - Neural associative memory with optimal Bayesian learning. ( 0,618927976784594 )
Neural Comput - Computing with a canonical neural circuits model with pool normalization and modulating feedback. ( 0,61862165255737 )
Neural Comput - Noise tolerance of attractor and feedforward memory models. ( 0,61696541183815 )
Int J Neural Syst - Hardware implementation of stochastic spiking neural networks. ( 0,615340848392044 )
Comput Math Methods Med - Concentration-invariant odor representation in the olfactory system by presynaptic inhibition. ( 0,614782209286061 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,613886657698509 )
Neural Comput - Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks. ( 0,613525086825345 )
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. ( 0,613404782146672 )
Neural Comput - Emergence of optimal decoding of population codes through STDP. ( 0,613093243981425 )
Neural Comput - Decorrelation of spiking variability and improved information transfer through feedforward divisive normalization. ( 0,612231616354811 )
Neural Comput - Fisher and Shannon information in finite neural populations. ( 0,610368385119285 )
Neural Comput - Design of charge-balanced time-optimal stimuli for spiking neuron oscillators. ( 0,610053396050782 )
Neural Comput - Risk-aware control. ( 0,609363988609477 )
Int J Neural Syst - Relationship between applicability of current-based synapses and uniformity of firing patterns. ( 0,608947251570779 )
Neural Comput - Inhibition in multiclass classification. ( 0,606445716374663 )
Comput Math Methods Med - Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks. ( 0,604964772243775 )
Comput Math Methods Med - Functional magnetic resonance imaging for imaging neural activity in the human brain: the annual progress. ( 0,604941216754267 )
Int J Neural Syst - Reactive control of epileptiform discharges in realistic computational neuronal models with bistability. ( 0,603950073039724 )
Int J Neural Syst - Adaptation-dependent synchronization transitions and burst generations in electrically coupled neural networks. ( 0,603939705309506 )
Neural Comput - Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons. ( 0,603360516803967 )
Comput Methods Programs Biomed - Characterizing electrical signals evoked by acupuncture through complex network mapping: a new perspective on acupuncture. ( 0,602764464937281 )
Comput. Biol. Med. - Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. ( 0,60150390184185 )
Neural Comput - Analysis of the stabilized supralinear network. ( 0,601473643690052 )
Neural Comput - Short-term memory capacity in networks via the restricted isometry property. ( 0,601002670503733 )
Neural Comput - Sample skewness as a statistical measurement of neuronal tuning sharpness. ( 0,600343261005266 )
Neural Comput - The competing benefits of noise and heterogeneity in neural coding. ( 0,600040888054942 )
IEEE Trans Neural Netw Learn Syst - Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov-Krasovskii Functionals. ( 0,599471382575488 )
Neural Comput - What is the limit of redundancy reduction with divisive normalization? ( 0,598928801435799 )
Comput Math Methods Med - A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification. ( 0,598627648228131 )
Neural Comput - Collective stability of networks of winner-take-all circuits. ( 0,597944362578291 )
Neural Comput - Design strategies for weight matrices of echo state networks. ( 0,597790485749757 )
Neural Comput - ANUBIS: artificial neuromodulation using a Bayesian inference system. ( 0,597265152285155 )
Neural Comput - Discovering functional neuronal connectivity from serial patterns in spike train data. ( 0,595370047878368 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,594882322956685 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,593980186165656 )
Neural Comput - Information-geometric measures for estimation of connection weight under correlated inputs. ( 0,593676064062303 )
Neural Comput - Subdiffusive dynamics of bump attractors: mechanisms and functional roles. ( 0,593314182099009 )
Neural Comput - A no-go theorem for one-layer feedforward networks. ( 0,59306861592433 )
Neural Comput - Traveling bumps and their collisions in a two-dimensional neural field. ( 0,592333766825408 )
IEEE Trans Neural Netw Learn Syst - Complex-Valued Recurrent Correlation Neural Networks. ( 0,592048773183012 )
Neural Comput - Decorrelation by recurrent inhibition in heterogeneous neural circuits. ( 0,592012565983401 )
Neural Comput - Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function. ( 0,591880703096885 )
Neural Comput - Neuronal assembly dynamics in supervised and unsupervised learning scenarios. ( 0,591644453875102 )
Neural Comput - Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. ( 0,59119496751518 )
Neural Comput - A neural mass model with direct and indirect excitatory feedback loops: identification of bifurcations and temporal dynamics. ( 0,590711950477109 )
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. ( 0,590236069559804 )
Neural Comput - A spike-timing-based integrated model for pattern recognition. ( 0,588535198301419 )
Neural Comput - Natural gradient learning algorithms for RBF networks. ( 0,588079657270009 )
Neural Comput - Anatomical constraints on lateral competition in columnar cortical architectures. ( 0,58791196476113 )
AMIA Annu Symp Proc - COPD Hospitalization Risk Increased with Distinct Patterns of Multiple Systems Comorbidities Unveiled by Network Modeling. ( 0,587690788831076 )
Comput Math Methods Med - Results on a binding neuron model and their implications for modified hourglass model for neuronal network. ( 0,586779993457923 )
Neural Comput - Intrinsic adaptation in autonomous recurrent neural networks. ( 0,585480680927084 )
Neural Comput - Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval. ( 0,585049041048853 )
IEEE Trans Neural Netw Learn Syst - Learning-Regulated Context Relevant Topographical Map. ( 0,584528838660116 )
IEEE Trans Neural Netw Learn Syst - Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems. ( 0,582998074962116 )
Comput Math Methods Med - Robust synchronization of delayed chaotic FitzHugh-Nagumo neurons under external electrical stimulation. ( 0,582949279699701 )
Int J Neural Syst - Modeling fluctuations in default-mode brain network using a spiking neural network. ( 0,581849938018275 )
Neural Comput - Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons. ( 0,580657376940771 )
Neural Comput - Statistical computer model analysis of the reciprocal and recurrent inhibitions of the Ia-EPSP in a-motoneurons. ( 0,57987302652367 )
Neural Comput - Noise facilitation in associative memories of exponential capacity. ( 0,577977915364014 )
Neural Comput - Motor cortex microcircuit simulation based on brain activity mapping. ( 0,577597192058848 )
Int J Neural Syst - From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. ( 0,577320963913939 )