DISCURSIVE PARTICLES AND THEIR STRATEGICAL INTERACTION FUNCTION

In earlier work we presented a stochastic model of spike-timing-dependent plasticity (STDP) in which STDP emerges only at the level of temporal or spatial synaptic ensembles. We derived the two-spike interaction function from this model and showed that it exhibits an STDP-like form. Here, we extend this work by examining the general n-spike interaction functions that may be derived from the model. A comparison between the two-spike interaction function and the higher-order interaction functions reveals profound differences. In particular, we show that the two-spike interaction function cannot support stable, competitive synaptic plasticity, such as that seen during neuronal development, without including modifications designed specifically to stabilize its behavior. In contrast, we show that all the higher-order interaction functions exhibit a fixed-point structure consistent with the presence of competitive synaptic dynamics. This difference originates in the unification of our proposed “switch” mechanism for synaptic plasticity, coupling synaptic depression and synaptic potentiation processes together. While three or more spikes are required to probe this coupling, two spikes can never do so. We conclude that this coupling is critical to the presence of competitive dynamics and that multispike interactions are therefore vital to understanding synaptic competition.

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Comparison between Optimization Method and Experience-Based Method in Soil Conservation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.726-731.3811 ◽

2013 ◽

Vol 726-731 ◽

pp. 3811-3817

Author(s):

Yuan Feng ◽

Ji Xian Wang

Keyword(s):

Slope Stability ◽

Soil Conservation ◽

Computer Aided Design ◽

Optimization Methods ◽

Optimization Method ◽

Interaction Function ◽

The Standard Model ◽

Computer Aided ◽

Slice Method ◽

Aided Design

The analysis of the slope stability is important in soil conservation. To analyze the slope stability, optimization methods were coded and compared with the traditional experience-based methods. Furthermore, the results were visualized in the program, so that the user can easily check the results and can designate an area, in which the program seeks the center and radius of the most hazardous slide arc. Moreover, the graphic interaction function was implemented in the program. In addition, the Standard Model One, recommended by ACAD (The Association for Computer Aided Design), was calculated by the program, of which the results (safety factor Ks=0.95~0.96) were smaller than the official recommend value (Ks=1). It is because that the traditional slice method, which neglects the normal stress and shear stress between the slices, was applied for calculation of Ks.

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PENGGUNAAN BAHASA INDONESIA DALAM INTERAKSI KELAS MATA PELAJARAN BAHASA INDONESIA (STUDI KASUS DI SMA NEGERI 2 SRAGEN)

Basastra: Jurnal Bahasa, Sastra, dan Pengajarannya ◽

10.20961/basastra.v7i1.35495 ◽

2019 ◽

Vol 7 (1) ◽

pp. 113

Author(s):

Dina Handayani ◽

Sarwiji Suwandi ◽

Budhi Setiawan

Keyword(s):

Classroom Interaction ◽

Regulatory Function ◽

Language Function ◽

Instrumental Function ◽

Heuristic Function ◽

Interaction Function ◽

Language Functions ◽

Bahasa Indonesia ◽

Case Study Methods

<em>This research aims to describe and explain: (1) the conversation structure in the classroom interaction of Indonesian language subject between teachers-students and among students and (2) the language function of the teachers' language and students' language in the classroom interaction. This research was conducted at SMA Negeri 2 Sragen. The subjects of this study were the use of language the teacher and students in Indonesian language course. The data in the form of sentences and discourse were analyzed by Sinclair & Cotlthard (1975) theory and Halliday (1973) theory. This research belongs to qualitative research using case study methods. The results of this study are; first, in the teachers-students conversation structure and the students-students conversation structure found new actions, namely, repeat. Both of the sequences of the conversation structure unit are from the largest to the smallest, namely: lesson, transaction, exchange, move, and act. Second, the language functions in the teachers’ language and students’ language, namely: the instrumental function, the regulatory function, the interaction function, the representational function, the personnel function, and the heuristic function.</em>

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Electron-phonon interaction function in the layered dichalcogenide 2Ha-TaSe2

Low Temperature Physics ◽

10.1063/1.3170929 ◽

2009 ◽

Vol 35 (7) ◽

pp. 539-543 ◽

Cited By ~ 1

Author(s):

G. V. Kamarchuk ◽

A. V. Khotkevich ◽

A. V. Savitskiĭ ◽

P. Molinié ◽

A. Leblanc ◽

...

Keyword(s):

Phonon Interaction ◽

Interaction Function ◽

Electron Phonon Interaction

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Evaluating Eye Tracking Systems for Computer Input

Gaze Interaction and Applications of Eye Tracking ◽

10.4018/978-1-61350-098-9.ch015 ◽

2012 ◽

pp. 205-225 ◽

Cited By ~ 13

Author(s):

I. Scott MacKenzie

Keyword(s):

Eye Tracking ◽

Sensory Input ◽

Computer Control ◽

Eye Tracker ◽

Tracking Systems ◽

Interaction Function ◽

Motor Responses ◽

Input Channel ◽

Computer Input

When a human uses an eye tracker for computer control, the eye is called upon to do ‘double duty’. Not only is it an important sensory input channel, it also provides motor responses to control the computer. This chapter discusses methods of evaluating the interaction. When an eye tracker is used for computer input, how well does the interaction function? Can common tasks be carried out efficiently, quickly, accurately? What is the user’s experience? How are alternative interaction methods evaluated and compared to identify those that work well, and deserve further study, and those that work poorly, and should be discarded? These are the sorts of questions that can be answered with a valid and robust methodology for evaluating eye trackers for computer input.

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Influence of Lateral Connections on the Structure of Cortical Maps

Journal of Neurophysiology ◽

10.1152/jn.00281.2004 ◽

2004 ◽

Vol 92 (5) ◽

pp. 2947-2959 ◽

Cited By ~ 30

Author(s):

Miguel Á. Carreira-Perpiñán ◽

Geoffrey J. Goodhill

Keyword(s):

Visual Cortex ◽

Computational Model ◽

Primary Visual Cortex ◽

Short Range ◽

Ocular Dominance ◽

Characteristic Structure ◽

Interaction Function ◽

Mexican Hat ◽

Visual Cortical ◽

Cortical Map

Maps of ocular dominance and orientation in primary visual cortex have a highly characteristic structure. The factors that determine this structure are still largely unknown. In particular, it is unclear how short-range excitatory and inhibitory connections between nearby neurons influence structure both within and between maps. Using a generalized version of a well-known computational model of visual cortical map development, we show that the number of excitatory and inhibitory oscillations in this interaction function critically influences map structure. Specifically, we demonstrate that functions that oscillate more than once do not produce maps closely resembling those seen biologically. This strongly suggests that local lateral connections in visual cortex oscillate only once and have the form of a Mexican hat.

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Interaction Function Analysis between Shield Tunnel Construction and Single Pile

Logistics ◽

10.1061/40996(330)396 ◽

2009 ◽

Author(s):

Yu-bo Feng ◽

Zong-jun Sun ◽

Guang-yue Song ◽

Sheng-nan Huang

Keyword(s):

Function Analysis ◽

Shield Tunnel ◽

Tunnel Construction ◽

Single Pile ◽

Interaction Function

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Accelerated FDPS: Algorithms to use accelerators with FDPS

Publications of the Astronomical Society of Japan ◽

10.1093/pasj/psz133 ◽

2020 ◽

Vol 72 (1) ◽

Cited By ~ 2

Author(s):

Masaki Iwasawa ◽

Daisuke Namekata ◽

Keigo Nitadori ◽

Kentaro Nomura ◽

Long Wang ◽

...

Keyword(s):

Graphics Processing Units ◽

High Performance ◽

General Purpose ◽

Performance Model ◽

Performance Tuning ◽

Data Types ◽

Interaction Function ◽

Current Implementation ◽

And Performance ◽

Graphics Processing

Abstract We describe algorithms implemented in FDPS (Framework for Developing Particle Simulators) to make efficient use of accelerator hardware such as GPGPUs (general-purpose computing on graphics processing units). We have developed FDPS to make it possible for researchers to develop their own high-performance parallel particle-based simulation programs without spending large amounts of time on parallelization and performance tuning. FDPS provides a high-performance implementation of parallel algorithms for particle-based simulations in a “generic” form, so that researchers can define their own particle data structure and interparticle interaction functions. FDPS compiled with user-supplied data types and interaction functions provides all the necessary functions for parallelization, and researchers can thus write their programs as though they are writing simple non-parallel code. It has previously been possible to use accelerators with FDPS by writing an interaction function that uses the accelerator. However, the efficiency was limited by the latency and bandwidth of communication between the CPU and the accelerator, and also by the mismatch between the available degree of parallelism of the interaction function and that of the hardware parallelism. We have modified the interface of the user-provided interaction functions so that accelerators are more efficiently used. We also implemented new techniques which reduce the amount of work on the CPU side and the amount of communication between CPU and accelerators. We have measured the performance of N-body simulations on a system with an NVIDIA Volta GPGPU using FDPS and the achieved performance is around 27% of the theoretical peak limit. We have constructed a detailed performance model, and found that the current implementation can achieve good performance on systems with much smaller memory and communication bandwidth. Thus, our implementation will be applicable to future generations of accelerator system.

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POINT-CONTACT SPECTROSCOPY OF THE ELECTRON-PHONON INTERACTION IN SmNi5

International Journal of Modern Physics B ◽

10.1142/s0217979293000500 ◽

1993 ◽

Vol 07 (01n03) ◽

pp. 226-229 ◽

Cited By ~ 1

Author(s):

M. REIFFERS ◽

P. SZABO ◽

D. GIGNOUX ◽

D. SCHMITT

Keyword(s):

Field Effect ◽

Point Contact ◽

Magnetic Field Effect ◽

Second Derivative ◽

Phonon Interaction ◽

Energy Position ◽

Interaction Function ◽

Electron Phonon Interaction ◽

Point Contact Spectroscopy ◽

The Magnetic Field

The measured point-contact (PC) spectra of the heterocontact between oriented hexagonal single crystal of SmNi 5 and Cu in ballistic and thermal regime are presented. The PC spectrum (the second derivative of I–V characteristic - d 2 I/dV 2( eV )) is directly proportional to the electron-quasiparticle interaction (EQI) function. The absence of the magnetic field effect on the energy position of the characteristic peaks until 10T is the confirmation of the phonon origin. The phonon part of the EQI function is similar to the electron-phonon interaction function for LaNi 5.

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Poisson limits and nonparametric estimation for pairwise interaction point processes

Journal of Applied Probability ◽

10.1239/jap/1014842282 ◽

2000 ◽

Vol 37 (1) ◽

pp. 252-260 ◽

Cited By ~ 4

Author(s):

Wei-Bin Chang ◽

John A. Gubner

Keyword(s):

Poisson Process ◽

Point Processes ◽

Pairwise Interaction ◽

Nonparametric Estimator ◽

Interpoint Distance ◽

Interaction Point ◽

Interaction Function ◽

The Mean ◽

Piecewise Continuous ◽

Independent Identically Distributed

The distribution of the interpoint distance process of a sequence of pairwise interaction point processes is considered. It is shown that, if the interaction function is piecewise-continuous, then the sequence of interpoint distance processes converges weakly to an inhomogeneous Poisson process under certain sparseness conditions. Convergence of the expectation of the interpoint distance process to the mean of the limiting Poisson process is also established. This suggests a new nonparametric estimator for the interaction function if independent identically distributed samples of the point process are available.

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