Self-organizing maps - Multivariate learning algorithms and applications to auditory spike train analysis

被引：0

作者：

Si, J ^{[1
]}

Kipke, DR ^{[1
]}

Witte, R ^{[1
]}

Lan, J ^{[1
]}

Lin, SM ^{[1
]}

机构：

[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA

来源：

BIOCOMPUTING | 2002年 / 1卷

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Self-organizing map (SOM) has been applied in many different fields of science and engineering. In this chapter it is shown how the SOM can be used to decode neural spike trains of an awake animal and associate external auditors, stimuli with spike patterns of the brain. This chapter begins with an introduction of the SOM and highlights advantages of the SOM when compared to other multivariate statistical data analysis tools commonly used to analyze similar data sets. In this study, simultaneous multichannel recording from guinea pig auditory cortex is examined using the SOM to assess the effectiveness and potential of the SOM in neurophysiological studies.

引用

页码：85 / 106

页数：22

共 50 条

[31] SELF-ORGANIZING MAPS AS DATA CLASSIFIERS IN MEDICAL APPLICATIONS
Tuckova, Jana
Bartu, Marek
Zetocha, Petr
Grill, Pavel
NCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NEURAL COMPUTATION THEORY AND APPLICATIONS, 2011, : 422 - 429
[32] Applications of Self-Organizing Maps in Structural Health Monitoring
Buethe, Inka
Kraemer, Peter
Fritzen, Claus-Peter
STRUCTURAL HEALTH MONITORING II, 2012, 518 : 37 - +
[33] Regional analysis using self-organizing maps
Chudy, L
Farkas, I
POLITICKA EKONOMIE, 2000, 48 (05) : 685 - 697
[34] A BAYESIAN-ANALYSIS OF SELF-ORGANIZING MAPS
LUTTRELL, SP
NEURAL COMPUTATION, 1994, 6 (05) : 767 - 794
[35] Application of self-organizing maps to chemical analysis
Tokutaka, H
Yoshihara, K
Fujimura, K
Obu-Cann, K
Iwamoto, K
APPLIED SURFACE SCIENCE, 1999, 144-45 : 59 - 63
[36] Learning self-organizing maps for navigation in dynamic worlds
Araújo, R
Gouveia, G
Santos, N
2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 1312 - 1317
[37] Multiple self-organizing maps: A hybrid learning scheme
Cervera, E
delPobil, AP
NEUROCOMPUTING, 1997, 16 (04) : 309 - 318
[38] Learning more accurate metrics for Self-Organizing Maps
Peltonen, J
Klami, A
Kaski, S
ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 999 - 1004
[39] Robust adaptive learning approach to self-organizing maps
Hameed, Alaa Ali
Karlik, Bekir
Salman, Mohammad Shukri
Eleyan, Gulden
KNOWLEDGE-BASED SYSTEMS, 2019, 171 : 25 - 36
[40] Automatic learning parameters for self-organizing feature maps
Haese, K
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 1007 - 1012

← 1 2 3 4 5 →