Microelectrode arrays and microprobes have been widely utilized to measure neuronal
activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate …

This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …

Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …

Misfolded protein aggregates represent a continuum with overlapping features in
neurodegenerative diseases, but differences in protein components and affected brain …

Rapid advancement of Internet of Things (IoT) and cloud computing enables neuroscientists
to collect multilevel and multichannel brain data to better understand brain functions …

This study presents a novel approach to improve the performance of microelectrode arrays
(MEAs) used for electrophysiological studies of neuronal networks. The integration of 3D …

Abstract Axonal Charcot-Marie-Tooth neuropathies (CMT type 2) are caused by inherited
mutations in various genes functioning in different pathways. The types of genes and …

In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based
neurorobotic systems, can interact with the external world, so that they can present some …

Seizures represent a frequent symptom in gliomas and significantly impact patient morbidity
and quality of life. Although the pathogenesis of tumor-related seizures is not fully …

Future technologies aiming at restoring and enhancing organs function will intimately rely on
near-physiological and energy-efficient communication between living and artificial …