Search results for "Neural"

showing 10 items of 2783 documents

Immune networks: Multi-tasking capabilities at medium load

2013

Associative network models featuring multi-tasking properties have been introduced recently and studied in the low load regime, where the number $P$ of simultaneously retrievable patterns scales with the number $N$ of nodes as $P\sim \log N$. In addition to their relevance in artificial intelligence, these models are increasingly important in immunology, where stored patterns represent strategies to fight pathogens and nodes represent lymphocyte clones. They allow us to understand the crucial ability of the immune system to respond simultaneously to multiple distinct antigen invasions. Here we develop further the statistical mechanical analysis of such systems, by studying the medium load r…

Statistics and ProbabilityModularity (networks)Theoretical computer scienceDegree (graph theory)Associative networkComputer scienceGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksModeling and SimulationFOS: Biological sciencesCell Behavior (q-bio.CB)Human multitaskingQuantitative Biology - Cell BehaviorRelevance (information retrieval)Cluster analysisImmune Network Statistical Mechanics Hopfield model Parallel RetrievalMathematical Physics
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Random walk approach to the analytic solution of random systems with multiplicative noise—The Anderson localization problem

2006

We discuss here in detail a new analytical random walk approach to calculating the phase-diagram for spatially extended systems with multiplicative noise. We use the Anderson localization problem as an example. The transition from delocalized to localized states is treated as a generalized diffusion with a noise-induced first-order phase transition. The generalized diffusion manifests itself in the divergence of averages of wavefunctions (correlators). This divergence is controlled by the Lyapunov exponent $\gamma$, which is the inverse of the localization length, $\xi=1/\gamma$. The appearance of the generalized diffusion arises due to the instability of a fundamental mode corresponding to…

Statistics and ProbabilityPhase transitionAnderson localizationMathematical analysisFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Lyapunov exponentCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsRandom walkMultiplicative noisesymbols.namesakeBounded functionsymbolsDiffusion (business)Divergence (statistics)MathematicsPhysica A: Statistical Mechanics and its Applications
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Anderson localization problem: An exact solution for 2-D anisotropic systems

2007

Our previous results [J.Phys.: Condens. Matter 14 (2002) 13777] dealing with the analytical solution of the two-dimensional (2-D) Anderson localization problem due to disorder is generalized for anisotropic systems (two different hopping matrix elements in transverse directions). We discuss the mathematical nature of the metal-insulator phase transition which occurs in the 2-D case, in contrast to the 1-D case, where such a phase transition does not occur. In anisotropic systems two localization lengths arise instead of one length only.

Statistics and ProbabilityPhysicsAnderson localizationPhase transitionCondensed matter physicsFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsTransverse planeMatrix (mathematics)Exact solutions in general relativityRandom systemsAnisotropyPhase diagramMathematical physicsPhysica A: Statistical Mechanics and its Applications
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Kardar–Parisi–Zhang scaling in kinetic roughening of fire fronts

1999

Abstract We show that the roughening of fire fronts in slow combustion of paper [7] follows the scaling predictions of the Kardar–Parisi–Zhang equation with thermal noise. By improved experimental accuracy it is now possible to observe the short-time and short-range correlations of the interfaces. These do not adhere to any standard picture, and in particular, do not seem to be related to any of the existing models of front propagation in the presence of quenched disorder.

Statistics and ProbabilityPhysicsFront propagationCondensed Matter::Statistical MechanicsStatistical physicsCondensed Matter PhysicsKinetic energyCombustionCondensed Matter::Disordered Systems and Neural NetworksScalingPhysica A: Statistical Mechanics and its Applications
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Value-at-Risk and Tsallis statistics: risk analysis of the aerospace sector

2004

In this study, we analyze the aerospace stocks prices in order to characterize the sector behavior. The data analyzed cover the period from January 1987 to April 1999. We present a new index for the aerospace sector and we investigate the statistical characteristics of this index. Our results show that this index is well described by Tsallis distribution. We explore this result and modify the standard Value-at-Risk (VaR), financial risk assessment methodology in order to reflect an asset which obeys Tsallis non-extensive statistics.

Statistics and ProbabilityRisk analysisIndex (economics)Actuarial scienceStatistical Finance (q-fin.ST)EconophysicsStatistical Mechanics (cond-mat.stat-mech)Financial riskTsallis statisticsFOS: Physical sciencesQuantitative Finance - Statistical FinanceDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsFOS: Economics and businessEconomicsEconometricsTsallis distributionAsset (economics)Value at riskCondensed Matter - Statistical Mechanics
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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A family of heterometallic wheels containing potentially fourteen hundred siblings

2005

The synthesis and structure of new heterometallic wheels are reported, with preliminary studies of selected compounds.

Stereochemistrymusculoskeletal neural and ocular physiologytechnology industry and agricultureMetals and AlloysMineralogyGeneral ChemistryBiologyCatalysisSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialsbehavior and behavior mechanismsMaterials ChemistryCeramics and Compositeshuman activitiespsychological phenomena and processesChem. Commun.
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An investigation of the neural circuits underlying reaching and reach-to-grasp movements: from planning to execution

2014

Experimental evidence suggests the existence of a sophisticated brain circuit specifically dedicated to reach-to-grasp planning and execution, both in human and non-human primates (Castiello, 2005). Studies accomplished by means of neuroimaging techniques suggest the hypothesis of a dichotomy between a "reach-to-grasp" circuit, involving the anterior intraparietal area, the dorsal and ventral premotor cortices (PMd and PMv - Castiello and Begliomini, 2008; Filimon, 2010) and a "reaching" circuit involving the medial intraparietal area and the superior parieto-occipital cortex (Culham et al., 2006). However, the time course characterizing the involvement of these regions during the planning …

Stimulus (physiology)lcsh:RC321-571Behavioral NeuroscienceNeuroimagingmotor planningBiological neural networkmedicineReach to graspfunctional magnetic resonance imaging; motor execution; motor planning; reach-to-grasp; reachingOriginal Research Articlelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryBrain networkmedicine.diagnostic_testSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaGRASPfunctional magnetic resonance imaging (fMRI)reach-to-graspfunctional magnetic resonance imagingreachingmotor executionNeuropsychology and Physiological PsychologyNeurologyPsychiatry and Mental HealthTime courseFunctional magnetic resonance imagingPsychologyNeuroscienceNeuroscience
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Experimental and numerical study of noise effects in a FitzHugh-Nagumo system driven by a biharmonic signal

2013

Using a nonlinear circuit ruled by the FitzHugh-Nagumo equations, we experimentally investigate the combined effect of noise and a biharmonic driving of respective high and low frequency F and f. Without noise, we show that the response of the circuit to the low frequency can be maximized for a critical amplitude B of the high frequency via the effect of Vibrational Resonance (V.R.). We report that under certain conditions on the biharmonic stimulus, white noise can induce V.R. The effects of colored noise on V.R. are also discussed by considering an Ornstein-Uhlenbeck process. All experimental results are confirmed by numerical analysis of the system response.

Stochastic Resonancenoisevibrational Resonance[PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]neural network[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]nonlinear circuits[SPI.TRON] Engineering Sciences [physics]/Electronics
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Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line

2021

This paper introduces a novel approach to representing continuous inputs in Tsetlin Machines (TMs). Instead of using one Tsetlin Automaton (TA) for every unique threshold found when Booleanizing continuous input, we employ two Stochastic Searching on the Line (SSL) automata to learn discriminative lower and upper bounds. The two resulting Boolean features are adapted to the rest of the clause by equipping each clause with its own team of SSLs, which update the bounds during the learning process. Two standard TAs finally decide whether to include the resulting features as part of the clause. In this way, only four automata altogether represent one continuous feature (instead of potentially h…

Stochastic Searching on the Line automatonBoosting (machine learning)decision support systemTK7800-8360Computer Networks and CommunicationsComputer scienceDiscriminative modelFeature (machine learning)Electrical and Electronic EngineeringArtificial neural networkrule-based learninginterpretable machine learninginterpretable AISparse approximationAutomatonRandom forestSupport vector machineVDP::Teknologi: 500Tsetlin MachineXAIHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsTsetlin automataAlgorithm
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