Title :
Thalamic bursts mediate pattern recognition
Author_Institution :
Swedish Defence Res. Agency, Stockholm, Sweden
fDate :
April 29 2009-May 2 2009
Abstract :
A new functional model for burst firing in the dorsal thalamus is proposed where thalamocortical pattern recognition systems, based on kernel machine principles, are connected by burst signaling. The systems include input trapping in the dorsal thalamus, cortical learning state memory and processing in the thalamic reticular nucleus. Misclassified events are captured as training examples in the waking state and the pattern recognition systems are trained by extensive thalamic bursting in deep sleep.
Keywords :
brain models; pattern recognition; support vector machines; burst firing; cortical learning state memory; dorsal thalamus; functional model; input trapping; kernel machine principles; support vector machines; thalamic reticular nucleus; thalamocortical pattern recognition systems; training examples; waking state; Digital relays; Kernel; Machine learning; Mathematical model; Neural engineering; Neurons; Pattern recognition; Registers; Support vector machine classification; Support vector machines; kernel machine; neocortex; pattern recognition; support vector; thalamic reticular nucleus; thalamus;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109358
