Title :
Neural correlation based on the IPFM model
Author :
Giunta, Gaetano ; Neri, Alessandro
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
The performance and the sensitivity of the neural correlator based on integral pulse frequency modulation (IPFM) are analyzed. The performance of the neural correlator is evaluated and shown to match many psychophysical test results. The behavior of the neural coder is expressed in terms of a stochastic nonlinear law. An analytical optimality condition for the mean-spike firing rate is derived. Numerical comparison between optimal and neurophysiological values shows that natural systems meet the optimality condition
Keywords :
correlation methods; frequency modulation; neurophysiology; physiological models; IPFM model; integral pulse frequency modulation; mean-spike firing rate; neural coder; neural correlator; neurophysiology; physiological model; stochastic nonlinear law; Correlators; Estimation error; Mathematical model; Performance analysis; Psychology; Pulse generation; Pulse modulation; Random number generation; Stochastic processes; Transducers;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
