Variations on the theme: focus on cerebellum and emotional processing

C Ciapponi, Y Li, DA Osorio Becerra… - Frontiers in Systems …, 2023 - frontiersin.org
The cerebellum operates exploiting a complex modular organization and a unified
computational algorithm adapted to different behavioral contexts. Recent observations …

Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning

X Wu, Y Feng, S Lou, H Zheng, B Hu, Z Hong, J Tan - Neurocomputing, 2023 - Elsevier
Electroencephalogram (EEG) data are produced in quantity for measuring brain activity in
response to external stimuli. With the rapid development of brain-inspired intelligence …

Brain-inspired biomimetic robot control: a review

A Mompó Alepuz, D Papageorgiou… - Frontiers in …, 2024 - frontiersin.org
Complex robotic systems, such as humanoid robot hands, soft robots, and walking robots,
pose a challenging control problem due to their high dimensionality and heavy non …

Human Brain Project partnering projects meeting: status quo and outlook

A Lorents, ME Colin, IE Bjerke, S Nougaret… - eneuro, 2023 - eneuro.org
As the European Flagship Human Brain Project (HBP) ends in September 2023, a meeting
dedicated to the Partnering Projects (PPs), a collective of independent research groups that …

A Cerebellum-Inspired Spiking Neural Model With Adapting Rate Neurons

Y Liu, R Liu, J Wang, W Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The cerebellum plays an important role in smooth and coordinated motor control. Precise
control requires the cerebellum to regulate movements in both space and time domains …

Enhancing Educational Design Capabilities through Interactive Mobile and Adaptive Learning Platforms: An Empirical Study.

J Li, Q Li - International Journal of Interactive Mobile …, 2024 - search.ebscohost.com
With the continuous advancement of educational technology, interactive mobile and
adaptive learning platforms are playing an increasingly important role in the field of …

Spiking network model of the cerebellum as a reinforcement learning machine

R Kuriyama, H Yoshimura, T Yamazaki - bioRxiv, 2024 - biorxiv.org
The cerebellum has been considered to perform error-based supervised learning via long-
term depression (LTD) at synapses between parallel fibers and Purkinje cells (PCs). Since …

Effect Exploration of the Spiking Neuron Property and Heterogeneity on Brain-Inspired Context-Dependent Learning

X Tang, S Yang, Y Pang - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
Brain-inspired computing uses the information processing method of human brain to
process unstructured information in real time. It is an important way to artificial general …