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Rough Neurocomputing: A Survey of Basic Models of Neurocomputation [chapter]

James F. Peters, Marcin S. Szczuka
2002 Lecture Notes in Computer Science  
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

Joan Cabestany, Francisco Sandoval, Alberto Prieto
2009 Neurocomputing  
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

Xiao-Dong Li, Tommy W.S. Chow, L.L. Cheng
2013 International Journal of Systems Science  
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

J.S. Urbach, Geoffrey J. Goodhill
1999 Neurocomputing  
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

Michael S. C. Thomas, Neil A. Forrester, Angelica Ronald
2015 Cognitive Science  
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

Vitaliy Romanchuk, A. Ronzhin, V. Shishlakov
2018 MATEC Web of Conferences  
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

Masashi AONO, Yoshito HIRATA, Masahiko HARA, Kazuyuki AIHARA
2010 Journal of Computer Chemistry, Japan  
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.  ...  . . 1 3 . 8 0 3 0 . 4 0 . 5 0 . . 6 0 . 0 7 . 0 9 . 1 0 1 1 . . 1 2 . 3 1 0 . 8  ... 
doi:10.2477/jccj.h2119 fatcat:xwh4sbjborfkzldrc4jzo3pyfa

Review of A Neurocomputational Perspective: The Nature of Mind and the Structure of Science

No authorship indicated
1991 Contemporary Psychology  
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]

Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuyuki Aihara
2009 Lecture Notes in Computer Science  
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

Jagtar SinghSivia, Amarpartap Singh, Tara Singh Kamal
2013 International Journal of Computer Applications  
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

Peiqin Chen, Xingye Zhang, Kemin Jiang, Qiang Zhang, Shaocheng Qi, Weidong Man, Thomas J Webster, Mingzhi Dai
2019 International Journal of Nanomedicine  
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

Valery M. Eskov, Alexander A. Khadartsev, Valery V. Eskov, Olga E. Filatova
2013 Journal of Analytical Sciences Methods and Instrumentation  
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

B MCCORMICK
2004 Neurocomputing  
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  
-/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

E. Simonotto, F. Spano, M. Riani, A. Ferrari, F. Levrero, A. Pilot, P. Renzetti, R.C. Parodi, F. Sardanelli, P. Vitali, J. Twitty, F. Chiou-Tan (+1 others)
1999 Neurocomputing  
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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