Multiple pathways network description of motor neurons in locusts: An information sensitivity analysis
Wagner Endo, Carlos Dias Maciel, David Martin Simpson, Philip L. Newland · 2013
Information sensitivity analysis is proposed for neural signals from spiking motor neurons that operate on the process moving legs of locusts. Our work presents an investigation from mechanical excitation to electrical output signals from spiking motor neurons driven by random Gaussian excitatory movements to a proprioceptor at the knee joint. From informationtheorectic sensitivity analysis is proposed an estimation of the associations among inputs and output signals. The estimation is quantified via a decomposition of their conditional mutual information and the pairwise interaction of information. A complex network is designed for modeling the motor neuronal system. The network is based on statistical dependences of information sensitivity. We applied the sensitivity analysis in neuro motor of locust called FETi (Fast Extensor Tibia) neuron. The results and some conclusions are presented.