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Rough Neurocomputing: A Survey of Basic Models of Neurocomputation
[chapter]
2002
Lecture Notes in Computer Science
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This article presents a survey of models of rough neurocomputing that have their roots in rough set theory. ...
The contribution of this article is a survey of representative approaches to rough neurocomputing. ...
8] ). ...
doi:10.1007/3-540-45813-1_40
fatcat:gvoc3d45cfhalmniin4jeoaqne
Computational and ambient intelligence
2009
Neurocomputing
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Preface We present in this volume the collection of finally accepted papers to the ninth edition of IWANN conference ("International Work-Conference on Artificial Neural Networks"). ...
Neurocomputational formulations. Single-neuron modelling. Perceptual modelling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. ...
Fuzzy systems. 8. Neuroengineering and Hardware Implementations. 9. Data analysis. 10. Signal processing. 11. Speech processing. 12. Images processing. 13. Time series and prediction. 14. ...
doi:10.1016/j.neucom.2009.04.020
fatcat:hrvdqdp7n5bprj2qhxxgl23ed4
Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory
2013
International Journal of Systems Science
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Chow, Effective feature selection scheme using mutual information, Neurocomputing, Vol. 63, August 2004, pp. 325-343. 83) T. W.S. ...
Chow, "Robust Linearly Optimized Discriminant Analysis", Neurocomputing,
vol.79, pp.140-157, Mar. 2012.
31) Zhao
Zhang,
Tommy
W.
S. ...
doi:10.1080/00207721.2011.625480
fatcat:7bltimql5rcmnp5psqyfy765f4
Limitations on detection of gradients of diffusible chemicals by axons
1999
Neurocomputing
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PII: S 0 9 2 5 -2 3 1 2 ( 9 9 ) 0 0 0 8 6 -7 ...
Urbach, G.J.Goodhill / Neurocomputing 26}27 (1999) 39}43 ...
usion in a three-dimensional volume, di! ...
doi:10.1016/s0925-2312(99)00086-7
fatcat:xjrjmltx4ncglgc2cjmlpb7hta
Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development
2015
Cognitive Science
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It included five levels of description, four internal: genetic, network, neurocomputation, behavior; and one external: environment. ...
We established that associations could be detected between artificial genes and behavioral variation, even under polygenic assumptions of a many-to-one relationship between genes and neurocomputational ...
For example, for the networks we used, two different network properties showed similar developmental trajectories to those observed in, respectively, global gray matter volume and global white matter volume ...
doi:10.1111/cogs.12230
pmid:25845802
fatcat:3qzvx24q6fhdxb55fzvlcfgfue
Mathematical support and software for data processing in robotic neurocomputer systems
2018
MATEC Web of Conferences
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The paper addresses classification and formal definition of neurocomputer systems for robotic complexes, based on the types of associations among their elements. ...
the initiative scientific project of the state task of the Ministry of Education and Science of the Russian Federation No. 2.9519.2017 / BC on the topic "Technologies for parallel processing of data in neurocomputer ...
Shulakeret [8] , Eliasmithet [4] are active in cataloguing neurocomputing devices, which will further contribute to description of generic properties and principles of functioning for implementation ...
doi:10.1051/matecconf/201816103004
fatcat:jpdeiexvjfalbewf4cz3rbkdre
A Model of Amoeba-Based Neurocomputer
2010
Journal of Computer Chemistry, Japan
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In the authors' previous studies, the amoeba was employed as a computing substrate to construct a neurocomputer. ...
In this paper, considering the amoeba as a network of oscillators that compete for constant amounts of resources, we model the amoeba-based neurocomputer. ...
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doi:10.2477/jccj.h2119
fatcat:xwh4sbjborfkzldrc4jzo3pyfa
Review of A Neurocomputational Perspective: The Nature of Mind and the Structure of Science
1991
Contemporary Psychology
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ISBN 3-7799-0684-8. DM 36,—paper- back. ...
Volume in the ‘Social Problems and Social Issues” series. Explores the nature of typification, claims, and their consequences. ...
doi:10.1037/029578
fatcat:aqigttygpnclvfakciqzmjzof4
Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer
[chapter]
2009
Lecture Notes in Computer Science
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Previously, the authors created a recurrent neurocomputer incorporating the amoeba as a computing substrate to solve optimization problems. ...
In this paper, considering the amoeba to be a network of oscillators coupled such that they compete for constant amounts of resources, we present a model of the amoeba-based neurocomputer. ...
Introducing optical feedback applied according to a recurrent neural network model, Aono and co-workers created a neurocomputer employing the amoeba as a solution searcher of optimization problems [8, ...
doi:10.1007/978-3-642-03745-0_13
fatcat:7urv2yzghbbn7c4oetdlydm5xi
Neurocomputational Approach for Feed-Position Estimation in Circular Micro-strip Antenna
2013
International Journal of Computer Applications
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This paper presents a neurocomputational model for estimation of feed-position in circular microstrip antenna. ...
In order to circumvent this problem, an alternative solution is achieved using neurocomputational model. ...
Fig 3b :Fig 4 : 3b4 Neurocomputational Model for estimation of feed position of circular microstrip antenna. ...
doi:10.5120/13118-0468
fatcat:xcdjkbqyljc77jesg4r5ewewlu
Change Of Nano Material Electrical Characteristics For Medical System Applications
2019
International Journal of Nanomedicine
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advanced materials for a wide variety of nanosystem medical applications including serving as biosensors devices with p-n junctions, nanomaterial-enabled wearable sensors, artificial synaptic devices for AI neurocomputers ...
and medical mimicking research. 1, [5] [6] [7] [8] [9] However, most AO are n-type semiconductors. ...
[1] [2] [3] [4] [5] [6] [7] [8] They have many optimal properties, such as lowtemperature processing, high uniformity over large areas and high stress stability, which suggests wide applications in ...
doi:10.2147/ijn.s215244
pmid:31920307
pmcid:PMC6938175
fatcat:zxixtewzjjh5hagix67f55wkty
Quantitative Registration of the Degree of the Voluntariness and Involuntariness (of the Chaos) in Biomedical Systems
2013
Journal of Analytical Sciences Methods and Instrumentation
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The tremorograms and AFD changes every second and only volume of quasi-attractor is constant for constant physiological state of human organism. ...
Pre-sighting stage V G1 While-sighting stage V G2 Quasi-attractor volume (V G ) 3.6 × 10 −6 8.3 × 10 −7 X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 X 9 X 10 X 11 for which the stationary regime take the other interpretation ...
(opposite to traditional science) [1, 2, [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] . ...
doi:10.4236/jasmi.2013.32008
fatcat:oqbvvudeonelxi2ny2wbyx3xx4
Construction of anatomically correct models of mouse brain networks*1
2004
Neurocomputing
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volume. ...
(a) and (d) were adapted from [8] ; (b) and (e) were adapted from [9] ; (c) and (f) were adapted from [10] ; (h) was adapted from [11] . ...
doi:10.1016/s0925-2312(04)00075-x
fatcat:czwldr5qz5addcr53yoewt4rs4
Page 292 of Cellular and Molecular Life Sciences Vol. 53, Issue 3
[page]
1997
Cellular and Molecular Life Sciences
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-/DM 138 ISBN 3-7643-5322-8
OS 1008
R. Becker, Southern Illinois University, Springfield, IL, USA /E. ...
Terenius, Karolinska Insti- tute, Stockholm, Sweden (Eds)
Somesthesis and the Neurobiology of the Somatosensory Cortex
This volume is a compilation of
current research on somato- sensation and its underlying ...
fMRI studies of visual cortical activity during noise stimulation
1999
Neurocomputing
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Total active volume for the "ve subjects in the fMRI study. All but one subject (Subject 1) show a maximum active volume for the optimal noise level. Incomplete data are available for Subject 3. ...
Prior experiments have focused on noise as a limiting factor in a population of young and old observers [12] ; contrast discrimination [8, 6] ; and in recognition e$ciency in luminance noise [13] . ...
doi:10.1016/s0925-2312(99)00042-9
fatcat:6mq4dvgjkfaaxcqeqffx6n776y
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