Modified Maximum and Minimum Spread estimation method for detection of neural spikes

We introduce, in this paper, a simplified architecture of the Minimum and Maximum Spread (MMS) estimation method, entitled the modified Minimum and Maximum Spread (mMMS) estimation method. The mMMS method aims to detect the neural spikes efficiently. Both detectors, with different buffer sizes, are designed and implemented. Through simulation, it is shown that the circuit implemented with the mMMS estimation method reduces the power consumption and the device area by 30% and 20% respectively, as compared to the detector based on the MMS estimation method, meanwhile, the estimation accuracy of the mMMS detector is similar to that of the MMS detector.