[HTML][HTML] The human brain project: creating a European research infrastructure to decode the human brain
Decoding the human brain is perhaps the most fascinating scientific challenge in the 21st
century. The Human Brain Project (HBP), a 10-year European Flagship, targets the …
century. The Human Brain Project (HBP), a 10-year European Flagship, targets the …
Hafnia-based double-layer ferroelectric tunnel junctions as artificial synapses for neuromorphic computing
Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1–x Zr x O2; HZO)
are a promising candidate for future applications, such as low-power memories and …
are a promising candidate for future applications, such as low-power memories and …
Human-scale brain simulation via supercomputer: a case study on the cerebellum
T Yamazaki, J Igarashi, H Yamaura - Neuroscience, 2021 - Elsevier
Performance of supercomputers has been steadily and exponentially increasing for the past
20 years, and is expected to increase further. This unprecedented computational power …
20 years, and is expected to increase further. This unprecedented computational power …
Performance comparison of the digital neuromorphic hardware SpiNNaker and the neural network simulation software NEST for a full-scale cortical microcircuit model
The digital neuromorphic hardware SpiNNaker has been developed with the aim of
enabling large-scale neural network simulations in real time and with low power …
enabling large-scale neural network simulations in real time and with low power …
BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming
Elucidating the intricate neural mechanisms underlying brain functions requires integrative
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …
[HTML][HTML] Extremely scalable spiking neuronal network simulation code: from laptops to exascale computers
State-of-the-art software tools for neuronal network simulations scale to the largest
computing systems available today and enable investigations of large-scale networks of up …
computing systems available today and enable investigations of large-scale networks of up …
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform
Combined efforts in the fields of neuroscience, computer science, and biology allowed to
design biologically realistic models of the brain based on spiking neural networks. For a …
design biologically realistic models of the brain based on spiking neural networks. For a …
[HTML][HTML] A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas
Cortical activity has distinct features across scales, from the spiking statistics of individual
cells to global resting-state networks. We here describe the first full-density multi-area …
cells to global resting-state networks. We here describe the first full-density multi-area …
Which scaling rule applies to large artificial neural networks: Technological limitations for biology-imitating computing
J Végh - Neural Computing and Applications, 2021 - Springer
Experience shows that cooperating and communicating computing systems, comprising
segregated single processors, have severe performance limitations, which cannot be …
segregated single processors, have severe performance limitations, which cannot be …
[HTML][HTML] A scalable approach to modeling on accelerated neuromorphic hardware
Neuromorphic systems open up opportunities to enlarge the explorative space for
computational research. However, it is often challenging to unite efficiency and usability …
computational research. However, it is often challenging to unite efficiency and usability …