Computational modeling of neural activities for statistical inference:
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Cham]
Springer
[2016]
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| Subjects: | |
| Online Access: | BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (XXIV, 127 Seiten, 42 illus., 20 illus. in color) |
| ISBN: | 9783319322858 |
| DOI: | 10.1007/978-3-319-32285-8 |
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Record in the Search Index
| _version_ | 1804176261380046848 |
|---|---|
| adam_text | COMPUTATIONAL MODELING OF NEURAL ACTIVITIES FOR STATISTICAL INFERENCE
/ KOLOSSA, ANTONIO
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
BASIC PRINCIPLES OF ERP RESEARCH, SURPRISE, AND PROBABILITY ESTIMATION
INTRODUCTION TO MODEL ESTIMATION AND SELECTION METHODS
A NEW THEORY OF TRIAL-BY-TRIAL P300 AMPLITUDE FLUCTUATIONS
BAYESIAN INFERENCE AND THE URN-BALL TASK
SUMMARY AND OUTLOOK
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
COMPUTATIONAL MODELING OF NEURAL ACTIVITIES FOR STATISTICAL INFERENCE
/ KOLOSSA, ANTONIO
: 2016
ABSTRACT / INHALTSTEXT
THIS AUTHORED MONOGRAPH SUPPLIES EMPIRICAL EVIDENCE FOR THE BAYESIAN
BRAIN HYPOTHESIS BY MODELING EVENT-RELATED POTENTIALS (ERP) OF THE HUMAN
ELECTROENCEPHALOGRAM (EEG) DURING SUCCESSIVE TRIALS IN COGNITIVE TASKS.
THE EMPLOYED OBSERVER MODELS ARE USEFUL TO COMPUTE PROBABILITY
DISTRIBUTIONS OVER OBSERVABLE EVENTS AND HIDDEN STATES, DEPENDING ON
WHICH ARE PRESENT IN THE RESPECTIVE TASKS. BAYESIAN MODEL SELECTION IS
THEN USED TO CHOOSE THE MODEL WHICH BEST EXPLAINS THE ERP AMPLITUDE
FLUCTUATIONS. THUS, THIS BOOK CONSTITUTES A DECISIVE STEP TOWARDS A
BETTER UNDERSTANDING OF THE NEURAL CODING AND COMPUTING OF PROBABILITIES
FOLLOWING BAYESIAN RULES. THE TARGET AUDIENCE PRIMARILY COMPRISES
RESEARCH EXPERTS IN THE FIELD OF COMPUTATIONAL NEUROSCIENCES, BUT THE
BOOK MAY ALSO BE BENEFICIAL FOR GRADUATE STUDENTS WHO WANT TO SPECIALIZE
IN THIS FIELD.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Kolossa, Antonio |
| author_facet | Kolossa, Antonio |
| author_role | aut |
| author_sort | Kolossa, Antonio |
| author_variant | a k ak |
| building | Verbundindex |
| bvnumber | BV043579762 |
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| collection | ZDB-2-SMA |
| ctrlnum | (ZDB-2-SMA)978-3-319-32285-8 (OCoLC)951022580 (DE-599)BVBBV043579762 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-319-32285-8 |
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| indexdate | 2024-07-10T07:29:22Z |
| institution | BVB |
| isbn | 9783319322858 |
| language | English |
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| publishDate | 2016 |
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| spelling | Kolossa, Antonio Verfasser aut Computational modeling of neural activities for statistical inference Antonio Kolossa [Cham] Springer [2016] © 2016 1 Online-Ressource (XXIV, 127 Seiten, 42 illus., 20 illus. in color) txt rdacontent c rdamedia cr rdacarrier Mathematics Neurosciences Computer simulation Neural networks (Computer science) Biomathematics Biomedical engineering Mathematical Models of Cognitive Processes and Neural Networks Biomedical Engineering Physiological, Cellular and Medical Topics Simulation and Modeling Mathematik Erscheint auch als Druckausgabe 978-3-319-32284-1 https://doi.org/10.1007/978-3-319-32285-8 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994434&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994434&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Kolossa, Antonio Computational modeling of neural activities for statistical inference Mathematics Neurosciences Computer simulation Neural networks (Computer science) Biomathematics Biomedical engineering Mathematical Models of Cognitive Processes and Neural Networks Biomedical Engineering Physiological, Cellular and Medical Topics Simulation and Modeling Mathematik |
| title | Computational modeling of neural activities for statistical inference |
| title_auth | Computational modeling of neural activities for statistical inference |
| title_exact_search | Computational modeling of neural activities for statistical inference |
| title_full | Computational modeling of neural activities for statistical inference Antonio Kolossa |
| title_fullStr | Computational modeling of neural activities for statistical inference Antonio Kolossa |
| title_full_unstemmed | Computational modeling of neural activities for statistical inference Antonio Kolossa |
| title_short | Computational modeling of neural activities for statistical inference |
| title_sort | computational modeling of neural activities for statistical inference |
| topic | Mathematics Neurosciences Computer simulation Neural networks (Computer science) Biomathematics Biomedical engineering Mathematical Models of Cognitive Processes and Neural Networks Biomedical Engineering Physiological, Cellular and Medical Topics Simulation and Modeling Mathematik |
| topic_facet | Mathematics Neurosciences Computer simulation Neural networks (Computer science) Biomathematics Biomedical engineering Mathematical Models of Cognitive Processes and Neural Networks Biomedical Engineering Physiological, Cellular and Medical Topics Simulation and Modeling Mathematik |
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