Title :
Cerebellar learning: a possible phase switch in evolution
Author :
Dunin-Barkowski, W.L. ; Wunsch, Donald C.
Author_Institution :
Appl. Comput. Intelligence Lab., Texas Tech. Univ., Lubbock, TX, USA
Abstract :
The strength of synapses from granule cells (GrC) to Purkinje cells (PC) changes, as a function of the interval between firing of GrCs and the PC´s climbing fiber (CF). In the case of constant and piecewise constant signals, an adequate tuning could be provided by a phase-based memorizing system, based on the observed properties of cerebellar neurons. We now discuss the cerebellar model for general nonstationary signals
Keywords :
brain models; Purkinje cells; cerebellar learning; cerebellar neurons; climbing fiber; evolution; firing interval; granule cells; nonstationary signals; phase-based memorizing system; piecewise constant signals; synapse strength; Brain modeling; Computational intelligence; Equations; Fires; Frequency; Laboratories; Neurons; Personal communication networks; Switches; World Wide Web;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831449
