OFN-Based Brain Function Modeling
暂无分享,去创建一个
[1] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[2] Piotr Prokopowicz,et al. Fuzzy-based computational simulations of brain functions – preliminary concept , 2016, Bio Algorithms Med Syst..
[3] Nikola K. Kasabov,et al. NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data , 2014, Neural Networks.
[4] T. Jefferson,et al. Editorial peer review for improving the quality of reports of biomedical studies. , 2007, The Cochrane database of systematic reviews.
[5] Piotr Prokopowicz,et al. Aggregation Operator for Ordered Fuzzy Numbers Concerning the Direction , 2014, ICAISC.
[6] Grzegorz M. Wójcik. Self-organising criticality in the simulated models of the rat cortical microcircuits , 2012, Neurocomputing.
[7] Hongyi Li,et al. Object recognition in brain CT-scans: knowledge-based fusion of data from multiple feature extractors , 1995, IEEE Trans. Medical Imaging.
[8] R. Diaz-Arrastia,et al. Genetic Factors in Outcome After Traumatic Brain Injury: What the Human Genome Project Can Teach us About Brain Trauma , 2006, The Journal of head trauma rehabilitation.
[9] Javier DeFelipe,et al. The anatomical problem posed by brain complexity and size: a potential solution , 2015, Front. Neuroanat..
[10] Izabela Rojek,et al. Hybrid Artificial Intelligence System in Constraint Based Scheduling of Integrated Manufacturing ERP Systems , 2012, HAIS.
[11] Piotr Prokopowicz,et al. Flexible and Simple Methods of Calculations on Fuzzy Numbers with the Ordered Fuzzy Numbers Model , 2013, ICAISC.
[12] Daniel M. Herron,et al. Is expert peer review obsolete? A model suggests that post-publication reader review may exceed the accuracy of traditional peer review , 2012, Surgical Endoscopy.
[13] Alexander E. Gegov. Fuzzy Networks for Complex Systems - A Modular Rule Base Approach , 2010, Studies in Fuzziness and Soft Computing.
[14] Xiaohui Xie,et al. Learning in neural networks by reinforcement of irregular spiking. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[15] A. Das. 'Peer review' for scientific manuscripts: Emerging issues, potential threats, and possible remedies. , 2016, Medical journal, Armed Forces India.
[16] Henry Markram,et al. Seven challenges for neuroscience. , 2013, Functional neurology.
[17] Enrico Macii,et al. The Human Brain Project and neuromorphic computing. , 2013, Functional neurology.
[18] Izabela Rojek,et al. Models for Better Environmental Intelligent Management within Water Supply Systems , 2014, Water Resources Management.
[19] Emery N. Brown,et al. The BRAIN Initiative: developing technology to catalyse neuroscience discovery , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.
[20] Turker Tekin Erguzel,et al. Process control using genetic algorithm and ant colony optimization algorithm , 2014, J. Intell. Fuzzy Syst..
[21] M. Bikson,et al. Multilevel computational models for predicting the cellular effects of noninvasive brain stimulation. , 2015, Progress in brain research.
[22] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[23] Javier DeFelipe,et al. The Evolution of the Brain, the Human Nature of Cortical Circuits, and Intellectual Creativity , 2011, Front. Neuroanat..
[24] P. Jesper Sjöström,et al. A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling , 2014, Front. Neuroanat..
[25] Witold Pedrycz,et al. The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing , 2015, ICAISC.
[26] M. Cieszko. Macroscopic description of capillary transport of liquid and gas in unsaturated porous materials , 2016 .
[27] W. Pedrycz,et al. An introduction to fuzzy sets : analysis and design , 1998 .
[28] Joshua A Hirsch,et al. Medical journal peer review: process and bias. , 2015, Pain physician.
[29] Luís B. Almeida,et al. Acceleration Techniques for the Backpropagation Algorithm , 1990, EURASIP Workshop.
[30] Stephen Coombes,et al. Using computational models to relate structural and functional brain connectivity , 2012, The European journal of neuroscience.
[31] David Manset,et al. Brain investigation and brain conceptualization. , 2013, Functional neurology.
[32] Andrzej Piegat,et al. Fuzzy Modeling and Control , 2001 .
[33] Tomoo Inoue,et al. Computational simulation of convection-enhanced drug delivery in the non-human primate brainstem: a simple model predicting the drug distribution , 2013, Neurological research.
[34] Dominik Ślęzak,et al. Ordered fuzzy numbers , 2003 .
[35] Francesco Saverio Pavone,et al. The connectomics challenge. , 2013, Functional neurology.
[36] C M Michel,et al. Mapping of the neuronal networks of human cortical brain functions. , 2003, Advances and technical standards in neurosurgery.
[37] Larry W Swanson,et al. From gene networks to brain networks , 2003, Nature Neuroscience.
[38] Tristan Glatard,et al. CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research , 2014, Front. Neuroinform..
[39] Jun Zhou,et al. Hierarchical fuzzy control , 1991 .
[40] Egidio D'Angelo,et al. Realistic modeling of neurons and networks: towards brain simulation. , 2013, Functional neurology.
[41] Grzegorz M. Wójcik,et al. Liquid state machine and its separation ability as function of electrical parameters of cell , 2007, Neurocomputing.
[42] M. Cieszko,et al. Continuum description of quasi-static intrusion of non-wetting liquid into a porous body , 2015 .
[43] Majid Nili Ahmadabadi,et al. Exploration and exploitation balance management in fuzzy reinforcement learning , 2010, Fuzzy Sets Syst..
[44] Piotr Prokopowicz,et al. Methods based on ordered fuzzy numbers used in fuzzy control , 2005, Proceedings of the Fifth International Workshop on Robot Motion and Control, 2005. RoMoCo '05..
[45] Richard Walker,et al. Emerging trends in peer review—a survey , 2015, Front. Neurosci..
[46] Z. Szczepański,et al. Determination of bone porosity based on histograms of 3D μCT images , 2014, Journal of Materials Science.
[47] G. Ascoli,et al. NeuroMorpho.Org: A Central Resource for Neuronal Morphologies , 2007, The Journal of Neuroscience.
[48] Razvan V. Florian,et al. Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity , 2007, Neural Computation.
[49] Danilo P. Mandic,et al. Towards the Optimal Learning Rate for Backpropagation , 2000, Neural Processing Letters.
[50] Wlodzislaw Duch,et al. Autism and ADHD - Two Ends of the Same Spectrum? , 2013, ICONIP.
[51] K. Amunts,et al. Towards multimodal atlases of the human brain , 2006, Nature Reviews Neuroscience.
[52] David A. Sanders,et al. Complexity management methodology for fuzzy systems with feedback rule bases , 2014, J. Intell. Fuzzy Syst..
[53] Paulo J. G. Lisboa,et al. Fuzzy systems in medicine , 2000 .
[54] Dominik Slezak,et al. Algebraic Operations on Fuzzy Numbers , 2003, IIS.
[55] D. O. Hebb,et al. The organization of behavior , 1988 .
[56] Deirdre M. McGrath,et al. Evaluation of wave delivery methodology for brain MRE: Insights from computational simulations , 2017, Magnetic resonance in medicine.
[57] Houri Hintiryan,et al. BAMS2 workspace: A comprehensive and versatile neuroinformatic platform for collating and processing neuroanatomical connections , 2014, The Journal of comparative neurology.
[58] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[59] Piotr Prokopowicz. The Directed Inference for the Kosinski's Fuzzy Number Model , 2015, AECIA.
[60] Xiao-Jing Wang,et al. Learning flexible sensori-motor mappings in a complex network , 2009, Biological Cybernetics.
[61] Izet Masic,et al. Evidence Based Medicine – New Approaches and Challenges , 2008, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.
[62] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[63] M Thilaga,et al. A novel pattern mining approach for identifying cognitive activity in EEG based functional brain networks. , 2016, Journal of integrative neuroscience.
[64] M. Noll-Hussong. Of waves and troughs , 2014, Front. Psychol..
[65] Piotr Prokopowicz. Adaptation of Rules in the Fuzzy Control System Using the Arithmetic of Ordered Fuzzy Numbers , 2008, ICAISC.
[66] Ehud Ahissar. The Rise and Fall of Basic Science , 2015, Front. Syst. Neurosci..