[HTML][HTML] The quest for multiscale brain modeling

E D'Angelo, V Jirsa - Trends in neurosciences, 2022 - cell.com
Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

[HTML][HTML] Coupled oscillators for computing: A review and perspective

G Csaba, W Porod - Applied physics reviews, 2020 - pubs.aip.org
Coupled oscillators are highly complex dynamical systems, and it is an intriguing concept to
use this oscillator dynamics for computation. The idea is not new, but is currently the subject …

BiCoSS: toward large-scale cognition brain with multigranular neuromorphic architecture

S Yang, J Wang, X Hao, H Li, X Wei… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
The further exploration of the neural mechanisms underlying the biological activities of the
human brain depends on the development of large-scale spiking neural networks (SNNs) …

Scalable digital neuromorphic architecture for large-scale biophysically meaningful neural network with multi-compartment neurons

S Yang, B Deng, J Wang, H Li, M Lu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Multicompartment emulation is an essential step to enhance the biological realism of
neuromorphic systems and to further understand the computational power of neurons. In this …

The spinnaker project

SB Furber, F Galluppi, S Temple… - Proceedings of the …, 2014 - ieeexplore.ieee.org
The spiking neural network architecture (SpiNNaker) project aims to deliver a massively
parallel million-core computer whose interconnect architecture is inspired by the connectivity …

[引用][C] Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts

S Dehaene - 2014 - books.google.com
WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …

CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning

S Yang, J Wang, N Zhang, B Deng… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
The cerebellum plays a vital role in motor learning and control with supervised learning
capability, while neuromorphic engineering devises diverse approaches to high …

Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms

J Cabral, ML Kringelbach, G Deco - NeuroImage, 2017 - Elsevier
Over the last decade, we have observed a revolution in brain structural and functional
Connectomics. On one hand, we have an ever-more detailed characterization of the brain's …

Large-scale neuromorphic spiking array processors: A quest to mimic the brain

CS Thakur, JL Molin, G Cauwenberghs… - Frontiers in …, 2018 - frontiersin.org
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

[HTML][HTML] The non-specific matrix thalamus facilitates the cortical information processing modes relevant for conscious awareness

EJ Müller, BR Munn, MJ Redinbaugh, J Lizier… - Cell reports, 2023 - cell.com
The neurobiological mechanisms of arousal and anesthesia remain poorly understood.
Recent evidence highlights the key role of interactions between the cerebral cortex and the …