TY  - CONF
T1  - Towards Online Detection of Neural Assemblies in Parallel Spike Trains
A1  - Braune, Christian
A1  - Glauer, Martin
A1  - Kruse, Rudolf
TI  - 48th Hawaii International Conference on System Sciences (HICSS), 2015
Y1  - 2015
SP  - 1503
EP  - 1511
SN  - 1530-1605
M2  - doi: 10.1109/HICSS.2015.182
KW  - Assembly
KW  - assembly detection
KW  - biology computing
KW  - brain
KW  - Brain modeling
KW  - clustering
KW  - Electric potential
KW  - Electrodes
KW  - feature extraction
KW  - neural assemblies online detection
KW  - neural nets
KW  - neurobiologists
KW  - neurobiology
KW  - neuron activation
KW  - Neurons
KW  - online algorithms
KW  - Pattern Recognition
KW  - Real-time systems
KW  - spike trains behavior
KW  - spike-time hypothesis
KW  - stream analysis
KW  - Trajectory
N2  - Neural assemblies are supposed to play an important role in the de- and encoding of information and stimuli in the brain. These groups of neurons are representing information by increased synchronous behavior. Spike trains are abstractions of recordings of the electrical potential emitted by individual neurons. We use a previously developed method to describe a single spike trains behavior and extend this method to distinguish between different neural assemblies. Our algorithm can be extended to work in an online fashion that will allow neurobiologists to verify the spike-time hypothesis and eventually observe neural assemblies in real-time
ER  -