Theory of correlation in a network with synaptic depression
Yasuhiko Igarashi, Masafumi Oizumi, and Masato Okada
Synaptic depression affects not only the mean responses of neurons but also the correlation of response variability in neural populations. Although previous studies have constructed a theory of correlation in a spiking neuron model by using the mean-field theory framework, synaptic depression has no ... [Phys. Rev. E 85, 016108 ] published .
Cross-section Effects in the Super-Kamiokande Tau Appearance Analysis
Christopher Walter Super-Kamiokande Collaboration
In this talk, I explain the search for tau neutrino appearance in the atmospheric neutrino flux at Super-Kamiokande with a particular emphasis on the effect deep inelastic cross section uncertainties have on interpreting the result. In particular, I explain why the normalization of the DIS cross-sec ... [AIP Conf. Proc. 1405, 186 (2011)] published Tue Nov 29, 2011.
A neural network circuit using persistent interfacial conducting heterostructures
Michihito Ueda, Yukihiro Kaneko, Yu Nishitani, and Eiji Fujii
The FeFET, based on epitaxial perovskite heterostructures, is termed an OxiM. It showed persistent interfacial conduction even when the ferroelectric polarization curve was swinging on a minor loop and also showed good controllability of drain current using pulse voltages. A neuron circuit composed ... [J. Appl. Phys. 110, 086104 (2011)] published Tue Oct 25, 2011.
Development of Computer Tomography System for the Soft X-ray Microscope at Ritsumeikan University
T. Ohigashi, H. Fujii, K. Usui, H. Namba, H. Mizutani et al.
A synchrotron-based full-field imaging soft x-ray microscope was tuned appropriately to perform computer tomography. The contrast and focal depth of the optical system were evaluated by using a Fresnel zone plate as a test object of variable spatial frequency. A focal depth of 15 [mu]m was obtained ... [AIP Conf. Proc. 1365, 124 (2011)] published Fri Sep 16, 2011.
Two-photon exchange effect studied with neural networks
Krzysztof M. Graczyk
An approach to the extraction of the two-photon exchange (TPE) correction from elastic ep scattering data is presented. The cross-section, polarization transfer (PT), and charge asymmetry data are considered. It is assumed that the TPE correction to the PT data is negligible. The form factors and TP ... [Phys. Rev. C 84, 034314 ] published .
Mathematical Model and Artificial Intelligent Techniques Applied to a Milk Industry through DSM
P. Ravi Babu and V. P. Sree Divya
The resources for electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances, the option left is optimal utilization of available energy resources. The main objective of this chapter is to discuss about the Peak load manag ... [AIP Conf. Proc. 1373, 44 (2011)] published Mon Aug 29, 2011.
Laser spot detection-based computer interface system using autoassociative multilayer perceptron with input-to-output mapping-sensitive error back propagation learning algorithm
Sungmoon Jeong, Chanwoong Jung, Cheol-Su Kim, Jae Hoon Shim, and Minho Lee
This paper presents a new computer interface system based on laser spot detection and moving pattern analysis of the detected laser spots in real-time processing. We propose a systematic method that uses either the frame difference of successive input images or an autoassociative multilayer perceptr ... [Opt. Eng. 50, 084302 (2011)] published Wed Aug 10, 2011.
Emergent multistability and frustration in phase-repulsive networks of oscillators
Zoran Levnajic
The collective dynamics of oscillator networks with phase-repulsive coupling is studied, considering various network sizes and topologies. The notion of link frustration is introduced to characterize and quantify the network dynamical states. In opposition to widely studied phase-attractive case, th ... [Phys. Rev. E 84, 016231 ] published .
AUGMENTED LAGRANGE HOPFIELD NETWORK FOR ECONOMIC DISPATCH WITH MULTIPLE FUEL OPTIONS
Vo Ngoc Dieu, Weerakorn Ongsakul, and Jirawadee Polprasert
This paper proposes an augmented Lagrange Hopfield network (ALHN) for solving economic dispatch (ED) problem with multiple fuel options. The proposed ALHN method is a continuous Hopfield neural network with its energy function based on augmented Lagrangian function. The advantages of ALHN over the c ... [AIP Conf. Proc. 1337, 93 (2011)] published Wed Jun 29, 2011.
Spiking computation and stochastic amplification in a neuron-like semiconductor microstructure
A. S. Samardak, A. Nogaret, N. B. Janson, A. Balanov, I. Farrer et al.
We have demonstrated the proof of principle of a semiconductor neuron, which has dendrites, axon, and a soma and computes information encoded in electrical pulses in the same way as biological neurons. Electrical impulses applied to dendrites diffuse along microwires to the soma. The soma is the act ... [J. Appl. Phys. 109, 102408 (2011)] published Tue May 31, 2011.
Neural Network Modeling of Degradation of Solar Cells
Himanshu Gupta, Bahniman Ghosh, and Sanjay K. Banerjee
Neural network modeling has been used to predict the degradation in conversion efficiency of solar cells in this work. The model takes intensity of light, temperature and exposure time as inputs and predicts the conversion efficiency of the solar cell. Backpropagation algorithm has been used to trai ... [AIP Conf. Proc. 1341, 249 (2011)] published Tue May 31, 2011.
Inference and learning in sparse systems with multiple states
A. Braunstein, A. Ramezanpour, R. Zecchina, and P. Zhang
We discuss how inference can be performed when data are sampled from the nonergodic phase of systems with multiple attractors. We take as a model system the finite connectivity Hopfield model in the memory phase and suggest a cavity method approach to reconstruct the couplings when the data are sepa ... [Phys. Rev. E 83, 056114 ] published .
Sequentially firing neurons confer flexible timing in neural pattern generators
Alexander Urban and Bard Ermentrout
Neuronal networks exhibit a variety of complex spatiotemporal patterns that include sequential activity, synchrony, and wavelike dynamics. Inhibition is the primary means through which such patterns are implemented. This behavior is dependent on both the intrinsic dynamics of the individual neurons ... [Phys. Rev. E 83, 051914 ] published .
Prediction of Cutting Forces Using ANNs Approach in Hard Turning of AISI 52100 steel
Souad Makhfi, Malek Habak, Raphael Velasco, Kamel Haddouche, and Pascal Vantomme
In this study, artificial neural networks (ANNs) was used to predict cutting forces in the case of machining the hard turning of AISI 52100 bearing steel using cBN cutting tool. Cutting forces evolution is considered as the key factors which affect machining. Predicting cutting forces evolution allo ... [AIP Conf. Proc. 1353, 669 (2011)] published Mon Apr 25, 2011.
Quality Parameters Defined by Chebyshev Polynomials in Cold Rolling Process Chain
Mika Judin, Jari Nylander, Jari Larkiola, and Martti Verho
The thickness profile of hot strip is of importance to profile, flatness and shape of the final cold rolled product. In this work, strip thickness and flatness profiles are decomposed into independent components by solving Chebyshev polynomials coefficients using matrix calculation. Four terms are u ... [AIP Conf. Proc. 1353, 368 (2011)] published Mon Apr 25, 2011.
Nonlinear dynamical system approaches towards neural prosthesis
Hiroyuki Torikai and Sho Hashimoto
An asynchronous discrete-state spiking neurons is a wired system of shift registers that can mimic nonlinear dynamics of an ODE-based neuron model. The control parameter of the neuron is the wiring pattern among the registers and thus they are suitable for on-chip learning. In this paper an asynchro ... [AIP Conf. Proc. 1339, 78 (2011)] published Tue Apr 19, 2011.
Enhanced memory performance thanks to neural network assortativity
S. de Franciscis, S. Johnson, and J. J. Torres
The behaviour of many complex dynamical systems has been found to depend crucially on the structure of the underlying networks of interactions. An intriguing feature of empirical networks is their assortativityi.e., the extent to which the degrees of neighbouring nodes are correlated. However, until ... [AIP Conf. Proc. 1332, 271 (2011)] published Tue Mar 29, 2011.
A non-equilibrium potential function to study competition in neural systems
Jorge F. Mejias
In this work, I overview some novel results concerning the theoretical calculation of a non-equilibrium potential function for a biologically motivated model of a neural network. Such model displays competition between different populations of excitatory and inhibitory neurons, which is known to ori ... [AIP Conf. Proc. 1332, 243 (2011)] published Tue Mar 29, 2011.
Enhancing neural-network performance via assortativity
Sebastiano de Franciscis, Samuel Johnson, and Joaquin J. Torres
The performance of attractor neural networks has been shown to depend crucially on the heterogeneity of the underlying topology. We take this analysis a step further by examining the effect of degree-degree correlationsassortativityon neural-network behavior. We make use of a method recently put for ... [Phys. Rev. E 83, 036114 ] published .
Comparative analysis of collaboration networks
Tatiana Progulova and Bahruz Gadjiev
In this paper we carry out a comparative analysis of the word network as the collaboration network based on the novel by M. Bulgakov Master and Margarita, the synonym network of the Russian language as well as the Russian movie actor network. We have constructed one-mode projections of these network ... [AIP Conf. Proc. 1305, 415 (2011)] published Mon Mar 21, 2011.
Implementation of an integrated op-amp based chaotic neuron model and observation of its chaotic dynamics
Jinwoo Jung, Jewon Lee, and Hanjung Song
This paper presents a fully integrated circuit implementation of an operational amplifier (op-amp) based chaotic neuron model with a bipolar output function, experimental measurements, and analyses of its chaotic behavior. The proposed chaotic neuron model integrated circuit consists of several op-a ... [Chaos 21, 013105 (2011)] published Mon Mar 14, 2011.
Strong resilience of topological codes to depolarization. (arXiv:1202.1852v1 [quant-ph])
ePrint arXiv http://arXiv.org/
Short-time domain-wall dynamics in the random-field Ising model with a driving field. (arXiv:1202.1885v1 [cond-mat.stat-mech])
ePrint arXiv http://arXiv.org/
Magnetic properties and critical behavior of disordered Fe_{1-x}Ru_x alloys: a Monte Carlo approach. (arXiv:1202.2104v1 [cond-mat.stat-mech])
ePrint arXiv http://arXiv.org/
Effect of Strong Disorder in a 3-Dimensional Topological Insulator: Phase Diagram and Maps of the Z2 Invariant. (arXiv:1202.2108v1 [cond-mat.dis-nn])
ePrint arXiv http://arXiv.org/
Bethe-Peierls approximation and the inverse Ising model. (arXiv:1112.3501v2 [cond-mat.dis-nn] UPDATED)
ePrint arXiv http://arXiv.org/