Title :
The Kanerva memory is stable
Author :
Chiueh, Tzi-Dar ; Goodman, Rodney M.
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
The Kanerva memory is a simple yet important model of the cerebellar cortex. Its power has been demonstrated by its huge storage capacity as an associative memory. In the present work, the Kanerva memory is briefly introduced and it is shown to be asymptotically stable in both the parallel update and sequential update modes. Its asymptotic stability is proved by introducing a Lyapunov function and showing that the function follows a descent trajectory as the Kanerva memory evolves
Keywords :
Lyapunov methods; brain models; content-addressable storage; neural nets; neurophysiology; Kanerva memory; Lyapunov function; associative memory; asymptotic stability; brain model; cerebellar cortex; descent trajectory; neural nets; neurophysiology; parallel update mode; sequential update modes; Associative memory; Brain modeling; Decoding; Equations; Hardware; Matrices; Neurofeedback; Neurons; Parallel processing; Power system modeling;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155349
