How can single cells without nervous systems perform complex behaviours such as
habituation, associative learning and decision making, which are considered the hallmark of …

To realize a large-scale Spiking Neural Network (SNN) on hardware for mobile applications,
area and power optimized electronic circuit design is critical. In this work, an area and power …

Using optical motion capture and wearable sensors is a common way to analyze impaired
movement in individuals with neurological and musculoskeletal disorders. However, using …

The nematode worm Caenorhabditis elegans has a relatively simple neural system for
analysis of information transmission from sensory organ to muscle fiber. Consequently, this …

The way brain networks maintain high transmission efficiency is believed to be fundamental
in understanding brain activity. Brains consisting of more cells render information …

In the nervous system, information is conveyed by sequence of action potentials, called
spikes-trains. As MacKay and McCulloch suggested, spike-trains can be represented as bits …

In contrast to the previous artificial neural networks (ANNs), spiking neural networks (SNNs)
work based on temporal coding approaches. In the proposed SNN, the number of neurons …

Real-time neural spike detection is an important step in understanding neurological
activities and develo** brain-silicon interfaces. Recent approaches exploit minimally …

Background and objective People suffer from sleep disorders caused by work-related stress,
irregular lifestyle or mental health problems. Therefore, development of effective tools to …

The aim of this study is to contribute to the important question in Neuroscience of whether
the number of neurons in a given layer of a network affects transmission efficiency. Mutual …