The effectiveness, robustness, and flexibility of memory and learning constitute the very
essence of human natural intelligence, cognition, and consciousness. However, currently …

Continuous-time asynchronous data converters namely, analog-to-digital converters and
analog-to-time converters, can be beneficial for certain types of applications, such as …

With the increasing integration of machine learning into IoT devices, managing energy
consumption and data transmission has become a critical challenge. Many IoT applications …

Spiking neurons, essential building blocks in neuromorphic computing for encoding the
input into spikes, require device advances and circuit designs for the realization. Recent …

Continuous-time (CT) asynchronous data converters namely, ADCs and analog-to-time
converters (ATCs), can be beneficial for certain types of applications, such as, processing of …

The paper discusses signal processing techniques that use signal representations in the
form of a sequence of spikes generated at the output of the Integrate-and-Fire (IF) spiking …

Brain-machine interfaces (BMIs) require major advances in electronics, so that constrains
such as the need of low power, small size, lightweight, and high bandwidth …