FIND - A unified framework for neural data analysis

Neural Networks

Volumn 21, Issue 8, 2008, Pages 1085-1093

  Meier, Ralph ^a   Egert, Ulrich ^a   Aertsen, Ad ^a   Nawrot, Martin P ^a,b,c  

^a UNIVERSITY OF FREIBURG   (Germany)

^b FREIE UNIVERSITÄT BERLIN   (Germany)

^c BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

Author keywords

Coefficient of variation; Gamma process; Honey bee; Mushroom body; Neural activity data analysis; Open source toolbox; Point process simulation; Rat; Spike train analysis; Visual cortex

Indexed keywords

COEFFICIENT OF VARIATION; GAMMA PROCESS; HONEY BEE; MUSHROOM BODY; NEURAL ACTIVITY DATA ANALYSIS; OPEN SOURCE TOOLBOX; POINT PROCESS SIMULATION; RAT; SPIKE TRAIN ANALYSIS; VISUAL CORTEX;

CUSTOMER SATISFACTION; DATA RECORDING; MATLAB; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; STATISTICAL METHODS; STOCHASTIC MODELS; TIME SERIES ANALYSIS; TOTAL QUALITY MANAGEMENT;

QUALITY CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; DATA BASE; FINDING INFORMATION IN NEURAL DATA; HONEYBEE; IN VIVO STUDY; MUSHROOM; NERVE CONDUCTION; ODOR; PRIORITY JOURNAL; QUALITY CONTROL; SIMULATION; VISUAL CORTEX;

ACTION POTENTIALS; ANIMALS; DATABASE MANAGEMENT SYSTEMS; NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS AS TOPIC; USER-COMPUTER INTERFACE;

EID: 53249119005     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.06.019     Document Type: Article

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