Abstract: A computing device calculates a product between an interconnectivity-representation matrix including a plurality of elements having values each set to 1, 0, or ?1 and a vector representing values of intermediate nodes, carries out a shift operation with a bit string in binary notation for each element among a plurality of elements of a vector obtained by the product, makes summation of a vector obtained by the shift operation and a vector including weighted input values, applies a function, which is determined as an activation function, for each element among a plurality of elements of a vector obtained by the summation of the vector obtained by the shift operation and the vector having the weighted input values, thus calculating a vector representing the values of the intermediate nodes updated in timestep progression, and calculates a plurality of output values by weighting the updated values of the intermediate nodes.

Abstract: A method for estimating a level of noise affecting a sampled and digitized pulse signal, such as a neural action potential signal; detecting signal pulses by thresholding, the threshold being determined by estimating a level of noise according to the method; and classifying thus-detected signals. An implantable device can carry out the methods. The method and device are applicable to the field of embedded signal processing for multiple electrode arrays implanted in a neural tissue such as a brain.