For more information about this meeting, contact Minxin Chen, Qingtian Zhang.
|Title:||Dynamics of Neural Networks and Birdsong Syntax|
|Seminar:||Mathematical Biology and Physiology Seminar|
|Speaker:||Dezhe Jin, Department of Physics, Penn State University|
|Songbirds learn to sing like humans learn to speak. The songs of many species consist of sequences of discrete syllables. The sequences follow syntactical rules that have some rudimentary similarities to grammars in human language. Experimental and computational works have converged to unveil how the collective dynamics of connected neurons in the songbird brain controls the syntax. Neurons form unidirectional chain networks that drive the syllables. The chains are connected into branched networks. Neural activity flows along the branched pathway to produce syllable sequences. At a branching point, one of the connected chains is selected to carry on the activity, producing a probabilistic syllable transition. These results may shed light on how human speech is encoded in the brain.|
Room Reservation Information
|Date:||12 / 05 / 2013|
|Time:||11:00am - 01:00pm|