Component Retrieval Using a Synaptic Connectivity Matrix

2004 ◽  
pp. 724-728
Author(s):  
Young Wook Keum ◽  
ByoungSeob Park
Keyword(s):  
Synaptic Connectivity ◽  
Connectivity Matrix ◽  
Component Retrieval

Evolutionary remodeling in a visual system through extensive changes in the synaptic connectivity of homologous neurons

1989 ◽  
Vol 3 (5) ◽  
pp. 405-410 ◽  
Author(s):  
S. R. Shaw ◽  
D. Moore
Keyword(s):  
The Body ◽  
Synaptic Connectivity ◽  
Connectivity Matrix ◽  
Cellular Mechanisms ◽  
Microscopical Level ◽  
Unit Structure ◽  
Evolutionary Changes ◽  
Electron Microscopical Level ◽  
Branching Patterns ◽  
Electron Microscopical

AbstractThe cellular mechanisms by which nervous systems evolve to match evolutionary changes occurring in the rest of the body remain largely unexplored. In a distal visual neuropil of a previously unexamined ancient dipteran family, Stratiomyidae, homologues of all of the periodic neurons known already from more recent Diptera can be recognized, occupying the same locations within the unit structure. This points to extreme developmental stasis for more than 200 million years, conserving both cell identity and position. The arborizations that some neurons make also have remained conservative, but others show marked differences between families in both size and branching patterns. At the electron-microscopical level, extensive differences in synaptic connectivity are found, some sufficient to radically redefine the systems roles of particular neurons. The findings bear out an earlier prediction that changes in the connectivity matrix linking conserved neurons may have been a major factor in implementing evolutionary change in the nervous system.

Computer Reconstruction of the Cellular Architecture of the Daphnia Magna Optic Ganglion

1975 ◽  
Vol 33 ◽  
pp. 284-285
Author(s):  
E. R. Macagno ◽  
C. Levinthal
Keyword(s):  
Daphnia Magna ◽  
Genetic Background ◽  
Compound Eye ◽  
Synaptic Connectivity ◽  
Serial Sections ◽  
Cross Sectional ◽  
Small Crustacean ◽  
Optic Ganglion ◽  
Structural Invariance ◽  
High Degree

The optic ganglion of Daphnia Magna, a small crustacean that reproduces parthenogenetically contains about three hundred neurons: 110 neurons in the Lamina or anterior region and about 190 neurons in the Medulla or posterior region. The ganglion lies in the midplane of the organism and shows a high degree of left-right symmetry in its structures. The Lamina neurons form the first projection of the visual output from 176 retinula cells in the compound eye. In order to answer questions about structural invariance under constant genetic background, we have begun to reconstruct in detail the morphology and synaptic connectivity of various neurons in this ganglion from electron micrographs of serial sections (1). The ganglion is sectioned in a dorso-ventra1 direction so as to minimize the cross-sectional area photographed in each section. This area is about 60 μm x 120 μm, and hence most of the ganglion fit in a single 70 mm micrograph at the lowest magnification (685x) available on our Zeiss EM9-S.

Recent trends in Component Based software development and Efficiency analysis of Semantic search based component retrieval Technique

2018 ◽  
pp. 105-113 ◽  
Author(s):  
Vishnu Sharma ◽  
Vijay Singh Rathore
Keyword(s):  
Software Development ◽  
Efficiency Analysis ◽  
Software Components ◽  
High Demand ◽  
Component Retrieval ◽  
Software Developer ◽  
Software Libraries ◽  
Retrieval Technique ◽  
Executable File ◽  
Recent Trends

In these days most of the software development uses preexisting software components. This approach provides plenty of benefits over the traditional development. Most of the software industries uses their own domain based software libraries where components resides in the form of modules, codes, executable file, documentations, test plans which may be used as it is or with minor changes. Due to shrinking time and high demand of software development it is necessary to use pre tested software components to ensure high functionality in software developed. Software components can be used very easily and without having the worries of errors and bugs because these are developed under expert supervision and well tested. What we have to do is just embed these components in our project. In this paper a survey got conducted over 112 software developer,testers and freelancers. In survey several issues in CBSD were identified. An efficient repository along with a component search engine is developed. All the component retrieval techniques were evaluated and compared with precise and recall method.

scholarly journals Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization

2021 ◽  
Vol 20 (7) ◽  
Author(s):  
Ismail Ghodsollahee ◽  
Zohreh Davarzani ◽  
Mariam Zomorodi ◽  
Paweł Pławiak ◽  
Monireh Houshmand ◽  
...  
Keyword(s):  
Quantum Computation ◽  
Quantum Computer ◽  
Quantum Circuit ◽  
Quantum Circuits ◽  
Connectivity Matrix ◽  
Circuit Optimization ◽  
Novel Approach ◽  
The Matrix ◽  
Minimum Number ◽  
Two Phases

AbstractAs quantum computation grows, the number of qubits involved in a given quantum computer increases. But due to the physical limitations in the number of qubits of a single quantum device, the computation should be performed in a distributed system. In this paper, a new model of quantum computation based on the matrix representation of quantum circuits is proposed. Then, using this model, we propose a novel approach for reducing the number of teleportations in a distributed quantum circuit. The proposed method consists of two phases: the pre-processing phase and the optimization phase. In the pre-processing phase, it considers the bi-partitioning of quantum circuits by Non-Dominated Sorting Genetic Algorithm (NSGA-III) to minimize the number of global gates and to distribute the quantum circuit into two balanced parts with equal number of qubits and minimum number of global gates. In the optimization phase, two heuristics named Heuristic I and Heuristic II are proposed to optimize the number of teleportations according to the partitioning obtained from the pre-processing phase. Finally, the proposed approach is evaluated on many benchmark quantum circuits. The results of these evaluations show an average of 22.16% improvement in the teleportation cost of the proposed approach compared to the existing works in the literature.

Synaptic Connectivity in Engineered Neuronal Networks

2007 ◽  
pp. 165-173 ◽  
Author(s):  
Peter Molnar ◽  
Jung-Fong Kang ◽  
Neelima Bhargava ◽  
Mainak Das ◽  
James J. Hickman
Keyword(s):  
Neuronal Networks ◽  
Synaptic Connectivity

A method calculating bond valences in crystals

1990 ◽  
Vol 46 (2) ◽  
pp. 138-142 ◽  
Author(s):  
M. O'Keeffe
Keyword(s):  
Connectivity Matrix ◽  
Complex Crystals

A method of calculating the expected bond valences from the connectivity matrix of complex crystals is described. The method is exact (does not require iteration) and is suitable for implementation on a microcomputer.

scholarly journals Hierarchical excitatory synaptic connectivity in mouse olfactory cortex

2013 ◽  
Vol 110 (40) ◽  
pp. 16193-16198 ◽  
Author(s):  
M. J. McGinley ◽  
G. L. Westbrook
Keyword(s):  
Olfactory Cortex ◽  
Synaptic Connectivity

NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

1999 ◽  
Vol 08 (02) ◽  
pp. 119-135
Author(s):  
YAU-HWANG KUO ◽  
JANG-PONG HSU ◽  
MONG-FONG HORNG
Keyword(s):  
Retrieval System ◽  
Software Component ◽  
Software Components ◽  
Personalized Search ◽  
Component Retrieval ◽  
Reusable Software ◽  
Major Mechanism ◽  
Fuzzy Models ◽  
Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

Multistability in Networks With Self-Excitation and High-Order Synaptic Connectivity

2010 ◽  
Vol 57 (8) ◽  
pp. 2144-2155 ◽  
Author(s):  
Zhenkun Huang ◽  
Qiankun Song ◽  
Chunhua Feng
Keyword(s):  
High Order ◽  
Synaptic Connectivity
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