The cerebellum as a liquid state machine.

@article{citeulike:2805598, abstract = {We examined closely the cerebellar circuit model that we have proposed previously. The model granular layer generates a finite but very long sequence of active neuron populations without recurrence, which is able to represent the passage of time. For all the possible binary patterns fed into mossy fibres, the circuit generates the same number of different sequences of active neuron populations. Model Purkinje cells that receive parallel fiber inputs from neurons in the granular layer learn to stop eliciting spikes at the timing instructed by the arrival of signals from the inferior olive. These functional roles of the granular layer and Purkinje cells are regarded as a liquid state generator and readout neurons, respectively. Thus, the cerebellum that has been considered to date as a biological counterpart of a perceptron is reinterpreted to be a liquid state machine that possesses powerful information processing capability more than a perceptron.}, address = {Laboratory for Visual Neurocomputing, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.}, author = {Yamazaki, T. and Tanaka, S. }, citeulike-article-id = {2805598}, doi = {10.1016/j.neunet.2007.04.004}, issn = {0893-6080}, journal = {Neural networks : the official journal of the International Neural Network Society}, keywords = {cerebellum, computational, computer\_model, timing}, month = {April}, number = {3}, pages = {290--297}, posted-at = {2008-05-16 18:23:07}, priority = {2}, title = {The cerebellum as a liquid state machine.}, url = {http://dx.doi.org/10.1016/j.neunet.2007.04.004}, volume = {20}, year = {2007} }

TY - JOUR ID - citeulike:2805598 L3 - citeulike-article-id:2805598 TI - The cerebellum as a liquid state machine. JF - Neural networks : the official journal of the International Neural Network Society VL - 20 IS - 3 SP - 290 EP - 297 AD - Laboratory for Visual Neurocomputing, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan. SN - 0893-6080 N2 - We examined closely the cerebellar circuit model that we have proposed previously. The model granular layer generates a finite but very long sequence of active neuron populations without recurrence, which is able to represent the passage of time. For all the possible binary patterns fed into mossy fibres, the circuit generates the same number of different sequences of active neuron populations. Model Purkinje cells that receive parallel fiber inputs from neurons in the granular layer learn to stop eliciting spikes at the timing instructed by the arrival of signals from the inferior olive. These functional roles of the granular layer and Purkinje cells are regarded as a liquid state generator and readout neurons, respectively. Thus, the cerebellum that has been considered to date as a biological counterpart of a perceptron is reinterpreted to be a liquid state machine that possesses powerful information processing capability more than a perceptron. KW - cerebellum KW - computational KW - computer_model KW - timing AU - Yamazaki, T AU - Tanaka, S PY - 2007/04// UR - http://dx.doi.org/10.1016/j.neunet.2007.04.004 ER -