Title :
A cerebellar neuronal network model applying to DIVA model
Author :
Wu Yuanyuan ; Zhang Shaobai
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fDate :
May 31 2014-June 2 2014
Abstract :
The paper presents a new cerebellar feedback-error-learning model that meets the requirement of DIVA (Directions Into Velocities of Articulators) model, and constructs a cerebellar neuronal network model that consists of 900 granular cells, 10 Golgi cells, 50 basket/stellate cells, and 10 Purkinje cells based upon neuroanatomy. By applying the new cerebellar neuronal network model to the DIVA model and then modifying the cortical DIVA circuit, simulation results show that the DIVA model can produce clear and explicit speech sounds, and the new cerebellar neuronal network model can solve the problem of the learning and maintenance of feedforward motor commands.
Keywords :
learning (artificial intelligence); medical signal processing; neural nets; neurophysiology; speech processing; DIVA model; Golgi cells; Purkinje cells; basket-stellate cells; cerebellar feedback-error-learning model; cerebellar neuronal network model; cortical DIVA circuit; directions into velocities of articulators model; feedforward motor commands; granular cells; neuroanatomy; speech sound; Adaptation models; Biological neural networks; Brain modeling; Computational modeling; Integrated circuit modeling; Production; Speech; DIVA model; cerebellar neuronal network model; feedback error; feedforward learning;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852562
