In the Internet of Things (IoT) domain, many applications are running machine learning
algorithms to assimilate the data collected in the swarm of devices. Sending all data to the …

Membrane nanotubes are dynamic structures that may connect cells over long distances.
Nanotubes are typically thin cylindrical tubes, but they may occasionally have a beaded …

Membrane curvature can be generated by a variety of different molecular mechanisms such
as protein scaffolding, heterogeneity, cytoskeletal forces that act as inputs. These …

Memorization is an essential functionality that enables today's machine learning algorithms
to provide a high quality of learning and reasoning for each prediction. Memorization gives …

To alter and adjust the shape of the plasma membrane, cells harness various mechanisms
of curvature generation. Many of these curvature generation mechanisms rely on the …

Recently, brain-inspired computing models have shown great potential to outperform today’s
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …

Brain-inspired computing models have shown great potential to outperform today's deep
learning solutions in terms of robustness and energy efficiency. Particularly, Hyper-Dimensional …

Peptide-induced transmembrane pore formation is commonplace in biology. Examples of
transmembrane pores include pores formed by antimicrobial peptides (AMPs) and cell-…

Recently, brain-inspired computing models have shown great potential to outperform today's
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …

Dendritic spines are small, bulbous protrusions along the dendrites of neurons and are sites
of excitatory postsynaptic activity. The morphology of spines has been implicated in their …