Molecular communication (MC) is the most promising communication paradigm for
nanonetwork realization since it is a natural phenomenon observed among living entities …

Neuroscientists formulate very different hypotheses about the nature of neural coding. At
one extreme, it has been argued that neurons encode information through relatively slow …

Cortical decoding of motor intentions is a classic challenge in neural engineering. A
candidate solution for tetraplegic patients is to decode motor intention from the activity of the …

Intra-body transmission networks are proposed to be composed of nanostructured or micro-
sized detectors placed within the body to monitor health and distribute drugs. Transplanted …

Neuromorphic processing architectures seek to emulate the functionality of the brain by
realizing parallel, efficient, event-based processing which can be directly applied to solve …

By extrapolating functionality from the retina, retinomorphic engineering has yielded devices
that have shown promise to alleviate the challenges presented in modern computer vision …

Neurons communicate with each other using discrete pulses called action potentials, or
“spikes”. These spikes are amenable to active restoration, which facilitates the transmission …

The nature of neural coding is controversial, with debate focussing on two alternatives: rate
coding, according to which only the number of action potentials or 'spikes' generated by a …

This Thesis details the design, fabrication and characterization of organic semiconductor
field effect transistors with silicon oxide-nitride-oxide-semiconductor (SONOS) gates for use …

Abstract<? Pub Inc> Neurons perform complex computations, communications and precise
transmissions of information in the form of action potentials (APs). The high level of …