Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …

Artificial neural networks (ANNs) have emerged as an essential tool in machine learning,
achieving remarkable success across diverse domains, including image and speech …

The study presents a recursive least-squares estimation method with an exponential
forgetting factor for noise removal in functional near-infrared spectroscopy data and …

In this paper, a theory for detection of the absolute concentrations of oxy-hemoglobin (HbO)
and deoxy-hemoglobin (HbR) from hemodynamic responses using a bundled-optode …

Pain-related sensory input is processed in the spinal dorsal horn (SDH) before being
relayed to the brain. That processing profoundly influences whether stimuli are correctly or …

Neurorobotics has emerged from the alliance between neuroscience and robotics. It
pursues the investigation of reproducing living organism-like behaviors in robots by means …

Biomimetic simulation permits neuroscientists to better understand the complex neuronal
dynamics of the brain. Embedding a biomimetic simulation in a closed-loop neuroprosthesis …

Geppetto is an open-source platform that provides generic middleware infrastructure for
building both online and desktop tools for visualizing neuroscience models and data and …

How dynamic interactions between nervous system regions in mammals performs online
motor control remains an unsolved problem. In this paper, we show that feedback control is …

Current low-latency neuromorphic processing systems hold great potential for develo**
autonomous artificial agents. However, the variable nature and low precision of the …