Research review for broad learning system: Algorithms, theory, and applications

X Gong, T Zhang, CLP Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …

Engineered in vitro disease models

KH Benam, S Dauth, B Hassell… - Annual Review of …, 2015 - annualreviews.org
The ultimate goal of most biomedical research is to gain greater insight into mechanisms of
human disease or to develop new and improved therapies or diagnostics. Although great …

Wirelessly steerable bioelectronic neuromuscular robots adapting neurocardiac junctions

H Tetsuka, S Gobbi, T Hatanaka, L Pirrami, SR Shin - Science Robotics, 2024 - science.org
Biological motions of native muscle tissues rely on the nervous system to interface
movement with the surrounding environment. The neural innervation of muscles, crucial for …

An overview of in vitro biological neural networks for robot intelligence

Z Chen, Q Liang, Z Wei, X Chen, Q Shi… - Cyborg and Bionic …, 2023 - spj.science.org
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 …

The energy homeostasis principle: neuronal energy regulation drives local network dynamics generating behavior

RC Vergara, S Jaramillo-Riveri, A Luarte… - Frontiers in …, 2019 - frontiersin.org
A major goal of neuroscience is understanding how neurons arrange themselves into neural
networks that result in behavior. Most theoretical and experimental efforts have focused on a …

Nitrosamines and water

J Nawrocki, P Andrzejewski - Journal of Hazardous Materials, 2011 - Elsevier
This paper provides an overview of all current issues that are connected to the presence of
nitrosamines in water technology. N-nitrosodimethylamine (NDMA) is the most frequently …

A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals

A Maccione, M Gandolfo, P Massobrio… - Journal of neuroscience …, 2009 - Elsevier
The spike represents the fundamental bit of information transmitted by the neurons within a
network in order to communicate. Then, given the importance of the spike rate as well as the …

Brain-inspired systems: A transdisciplinary exploration on cognitive cybernetics, humanity, and systems science toward autonomous artificial intelligence

Y Wang, S Kwong, H Leung, J Lu… - IEEE Systems, Man …, 2020 - ieeexplore.ieee.org
Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive
science, and system science. BCSs study not only the intelligence science foundations of …

Emergence of a small-world functional network in cultured neurons

JH Downes, MW Hammond, D Xydas… - PLoS computational …, 2012 - journals.plos.org
The functional networks of cultured neurons exhibit complex network properties similar to
those found in vivo. Starting from random seeding, cultures undergo significant …

[HTML][HTML] Physical reservoir computing with force learning in a living neuronal culture

Y Yada, S Yasuda, H Takahashi - Applied Physics Letters, 2021 - pubs.aip.org
Rich dynamics in a living neuronal system can be considered as a computational resource
for physical reservoir computing (PRC). However, PRC that generates a coherent signal …