Many speech processing systems struggle in conditions with low signal-to-noise ratios and
in changing acoustic environments. Adaptation at the transduction level with integrated …

Auditory scene analysis (ASA) refers to the process (es) of parsing the complex acoustic
input into auditory perceptual objects representing either physical sources or temporal …

Humans can easily focus on one speaker in a multi-talker acoustic environment, but how
different areas of the human auditory cortex (AC) represent the acoustic components of …

Neuromorphic Engineering has emerged as an exciting research area, primarily owing to
the paradigm shift from conventional computing architectures to data-driven, cognitive …

As one of the most important members of the two dimensional chalcogenide family,
molybdenum disulphide (MoS 2) has played a fundamental role in the advancement of low …

We present a hardware architecture that uses the neural engineering framework (NEF) to
implement large-scale neural networks on field programmable gate arrays (FPGAs) for …

Our current understanding of how the brain segregates auditory scenes into meaningful
objects is in line with a Gestaltism framework. These Gestalt principles suggest a theory of …

The auditory system transforms auditory stimuli from the external environment into
perceptual auditory objects. Recent studies have focused on the contribution of the auditory …

In the mammalian auditory pathway, the cochlea is the first stage of processing where the
incoming sound signal is mapped into various frequency channels. This multi-channel …

We propose a sign-based online learning (SOL) algorithm for a neuromorphic hardware
framework called Trainable Analogue Block (TAB). The TAB framework utilises the …