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Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

François Pachet, Pierre Roy
2009 EURASIP Journal on Audio, Speech, and Music Processing  
We present a feature generation system designed to create audio features for supervised classification tasks.  ...  The main contribution to feature generation studies is the notion of analytical features (AFs), a construct designed to support the representation of knowledge about audio signal processing.  ...  Krawiec [14] proposed a similar approach from a genetic programming perspective and performed the same evaluation on reference databases.  ... 
doi:10.1155/2009/153017 fatcat:nzhgjxqofvabtpd7bfzfjzf26y

Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems [chapter]

Luca Bixio, Andrea F. Cattoni, Carlo S. Regazzoni, Pramod K. Varshney
2009 Autonomic Computing and Networking  
In this chapter, after a tutorial overview of the current State of the Art on Cognitive Radio visions and on stand-alone and cooperative/distributed approaches to spectrum sensing, the general problem  ...  a complete access to the network wherever and whenever the user needs them.  ...  Some of the most intuitive features considered are instantaneous amplitude, phase, and frequency [2] . Such features are usually used to detect and classify linear modulation [14] .  ... 
doi:10.1007/978-0-387-89828-5_8 fatcat:wsdhxx6aurcibh5ulbnuekvthm

Variability of Neuronal Responses: Types and Functional Significance in Neuroplasticity and Neural Darwinism

Alexander V. Chervyakov, Dmitry O. Sinitsyn, Michael A. Piradov
2016 Frontiers in Human Neuroscience  
(synonyms, repeats), and "genuine useful" (the basis of neuroplasticity and learning).  ...  HIGHLIGHTS • We suggest classifying variability of neuronal responses as follows: false (associated with a lack of knowledge about the influential factors), "genuine harmful" (noise), "genuine neutral"  ...  ACKNOWLEDGMENTS The reported study was partially supported by the Russian Foundation for Basic Research (RFBR), research project 16-34-60090-mol-a-dk.  ... 
doi:10.3389/fnhum.2016.00603 pmid:27932969 pmcid:PMC5122744 fatcat:57kyk24f25cw3ouxklhzhxxwhy

A New Framework for Recognizing Normal and Epileptic Seizure from Eye Movement Signals Using Genetic Based Convolutional Neural Network

Veeramosu Priyanka Brahmaiah, Yarlagadda Padma Sai, Mahendra N. Giriprasad
2020 Traitement du signal  
During the saccade feature extraction and fixation feature extraction, the proposed method ensures the precision of epileptic seizure detection.  ...  The genetic-based CNN helps to make perfect decisions on the existence of epileptic seizure.  ...  Figure 7 shows the feature extraction graph, where the saccade and fixation features are extracted using the proposed Genetic based CNN approach.  ... 
doi:10.18280/ts.370317 fatcat:5xyg2bcvubhcjkpdmpsjjzwx3m

Personal Identification Based on Brain Networks of EEG Signals

Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei
2018 International Journal of Applied Mathematics and Computer Science  
Then, some attributes of the brain networks including the degree of a node, the clustering coefficient and global efficiency are computed to form a new feature vector.  ...  Lastly, we utilize linear discriminant analysis (LDA) to classify the extracted features for personal identification.  ...  This work was supported by the National Natural Science Foundation of China (61671193, 61602140), the Science and Technology Program of Zhejiang Province (2018C04012, 2017C33049), and the science and technology  ... 
doi:10.2478/amcs-2018-0057 fatcat:frg35atmyvcunp4e7embwti2be

Nonclassical Systemics of Quasicoherence: From Formal Properties to Representations of Generative Mechanisms. A Conceptual Introduction to a Paradigm-Shift

Gianfranco Minati
2019 Systems  
Such domains allow the profiling of collective behavior. Selection mechanisms are based on learning techniques or cognitive approaches for social systems.  ...  The goal of this paper is to introduce the concepts of domain and selection mechanisms which are suitable to represent the generative mechanisms of quasicoherence of collective behavior.  ...  Suitable approaches to be studied relate to learning and profiling techniques, analog computation, cognitive processing, and nature-inspired computation suitable to identify, apply, reproduce, or generate  ... 
doi:10.3390/systems7040051 fatcat:lbsrd7qjkvfhhkpc57xgedimby

Differences Between Natural and Artificial Cognitive Systems [chapter]

Wolf Singer
2021 Robotics, AI, and Humanity  
AbstractThis chapter identifies the differences between natural and artifical cognitive systems.  ...  Benchmarking robots against brains may suggest that organisms and robots both need to possess an internal model of the restricted environment in which they act and both need to adjust their actions to  ...  It would require to implement oscillatory microcircuits and mechanisms ensuring selective synchronization of feature selective nodes.  ... 
doi:10.1007/978-3-030-54173-6_2 fatcat:psx2bzq44rdcpbwajws5ouczoe

The Expanding Horizon of Neural Stimulation for Hyperkinetic Movement Disorders

Anna Latorre, Lorenzo Rocchi, Anna Sadnicka
2021 Frontiers in Neurology  
We then shift our focus to the periphery using tremor and Tourette's syndrome to illustrate the utility of peripheral biomarkers and interventions.  ...  We first describe the most commonly used features that can be extracted from oscillatory activity of the central nervous system, and how these can be combined with an expanding range of non-invasive and  ...  AUTHOR CONTRIBUTIONS All authors contributed to the article and approved the submitted version.  ... 
doi:10.3389/fneur.2021.669690 pmid:34054710 pmcid:PMC8160223 fatcat:wjncv3zazzaavftpsmsmzokwxq

Computational Psychiatry

Xiao-Jing Wang, John H. Krystal
2014 Neuron  
Second, it will be important to develop a cadre of young psychiatrists who learn computational modeling, lest computational psychiatry.  ...  To achieve this promise will require investment in cross-disciplinary training and research in this nascent field. to the advancement of computational psychiatry. to and engage with psychiatric research  ...  Acknowledgments We thank John Murray, Alan Anticevic, and Philip Corlett for discussions related to computational psychiatry and John Murry for making Figure  ... 
doi:10.1016/j.neuron.2014.10.018 pmid:25442941 pmcid:PMC4255477 fatcat:yscknyq4ezdfhbu2wqdlr6ch64

Modularity, and the psychoevolutionary theory of emotion

P. E. Griffiths
1990 Biology & Philosophy  
The psychoevolutionary approach to emotion yields an alternative classification of certain emotion phenomena.  ...  It is unreasonable to assume that our pre-scientific emotion vocabulary embodies all and only those distinctions required for a scientific psychology of emotion.  ...  It may be that socially constructed emotions, such as romantic love, mimic the general features of affect-program phenomena, and perhaps of those cognitive states that resemble affect-program states in  ... 
doi:10.1007/bf00127486 fatcat:xwqagyap7nbehjccsa2b4nvepm

Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261)

Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zühlke, Marc Herbstritt
2016 Dagstuhl Reports  
The seminar brought together 37 participants from three diverse disciplines, who would normally not have opportunities to meet in such a forum, let alone discuss common interests and plan joint projects  ...  This report documents the talks, discussions and outcome of the Dagstuhl seminar 16261 "Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis".  ...  Funding by the CITEC center of excellence is gratefully acknowledged. References  ... 
doi:10.4230/dagrep.6.6.88 dblp:journals/dagstuhl-reports/BhanotBVZ16 fatcat:b5ntg57oy5awvbsgnk3k2ogiue

Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review

Barbara Weber, Thomas Fischer, René Riedl
2021 Journal of Systems and Software  
We analyzed these papers to develop a comprehensive understanding of who had published NeuroSE research and classified the contributions according to their type.  ...  measurements a b s t r a c t In the past decade, brain and autonomic nervous system activity measurement received increasing attention in the study of software engineering (SE).  ...  5 state classification Züger and Fritz (2015) 2 state, 3 state, and 7 state classification Züger et al. (2018) Features: Heart, Computer interaction, sleep, and physical activity All features  ... 
doi:10.1016/j.jss.2021.110946 fatcat:77u6eafdlvf6hn2xnkae46n5ou

Artificial intelligence based cognitive routing for cognitive radio networks

Junaid Qadir
2015 Artificial Intelligence Review  
We also survey the application of various classes of AI techniques to CRNs in general, and to the problem of routing in particular.  ...  We also highlight the various inference, reasoning, modeling, and learning sub tasks that a cognitive routing protocol must solve.  ...  into two broad categories of feature classification and decision making.  ... 
doi:10.1007/s10462-015-9438-6 fatcat:hi4mk5iaf5dsjgco5sgknejroq

Inducing a generative expressive performance model using a sequential-covering genetic algorithm

Rafael Ramirez, Amaury Hazan
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone.  ...  We begin with a collection of audio recordings of real Jazz saxophone performances from which we extract a symbolic representation of the musician's expressive performance.  ...  Another research line is to extend our model to be able to base its prediction on expressive features such as vibrato and tremolo.  ... 
doi:10.1145/1276958.1277374 dblp:conf/gecco/RamirezH07 fatcat:qouwdolu5rb3hne4jqynpao3my

Brains, computation, and selection: An essay review of Gerald Edelmanns Neural Darwinism

Paul Patton, Thomas Parisi
1989 Psychobiology (Austin, Tex.)  
One ofthe networks serves as a feature detector and the other as a feature correlator.  ...  Edelman sees current approaches to the problem of perceptual categorization, which are based on cognitive psychology and computational neuroscience, as containing an implicit instructionist assumption  ... 
doi:10.1007/bf03337790 fatcat:iiujpzmyvnamnbaqvzuzijmgcq
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