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Bidirectional brain-machine interfaces (BMIs) establish a two-way direct communication link between the brain and the external world. A decoder translates recorded neural activity into motor commands and an encoder delivers sensory information collected from the environment directly to the brain creating a closed-loop system. These two modules are typically(More)
A CMOS four-quadrant analog multiplier circuit for neural networks integrated circuit implementation is presented. By applying differential balanced current mode signals (both for the input, output and weight signals) the multiplication function is easily implemented through two translinear loops. The multiplier exhibits low power consumption (the dc(More)
Traditional hearing aids are limited by the absence of spatial selectivity. Superdirective microphone array can recover such limit, performing a spatial filtering to achieve an augmented SNR. We present Glassense, a platform hosting a double microphone array connected to a processing unit and mounted on the frame of common glasses. The platform has the(More)
The weight perturbation learning algorithm was formerly developed by hardware designers for its friendly features in the perspective of the analog on-chip implementation. Therefore it has not been used for real-world applications but it has been verified only on test problems. To significantly increase its attitude for the on-chip implementation, we(More)