A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Dynamics of a three neurons network with excitatory-inhibitory interactions
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
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We present a computational study about the influence of the sensorimotor cortex on the processing of the cuneate nucleus during sleep as well as wakefulness. Realistic computational models were developed supported by experimental data obtained from intact-brain preparations in cat. Furthermore, a physiologically plausible circuit is proposed and predictions under both different cortical stimulation and synaptic configurations are suggested. The computer simulations show that the CN circuitry (1) under sleep conditions can block the transmission of afferent sensory information, and (2) under awaking conditions can perform operations such as filtering and facilitation.