Bottom-up and top-down approaches for the design of neuromorphic processing systems: tradeoffs and synergies between natural and artificial intelligence
While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …
calls for new avenues for improving the overall system performance. One of these avenues …
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 …
Bottom-up and top-down neural processing systems design: Neuromorphic intelligence as the convergence of natural and artificial intelligence
While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …
calls for new avenues for improving the overall system performance. One of these avenues …
PyGeNN: a Python library for GPU-enhanced neural networks
More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and
they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ …
they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ …
[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 …
A low-latency communication design for brain simulations
Brain simulation, as one of the latest advances in artificial intelligence, facilitates better
understanding about how information is represented and processed in the brain. The …
understanding about how information is represented and processed in the brain. The …
[HTML][HTML] UnIC: towards unmanned intelligent cluster and its integration into society
Collaborative unmanned systems have emerged to meet our society's wide-ranging grand
challenges, with their advantages including high performance, efficiency, flexibility, and …
challenges, with their advantages including high performance, efficiency, flexibility, and …
[HTML][HTML] Deploying and optimizing embodied simulations of large-scale spiking neural networks on HPC infrastructure
B Feldotto, JM Eppler, C Jimenez-Romero… - Frontiers in …, 2022 - frontiersin.org
Simulating the brain-body-environment trinity in closed loop is an attractive proposal to
investigate how perception, motor activity and interactions with the environment shape brain …
investigate how perception, motor activity and interactions with the environment shape brain …
Brain inspired computing: A systematic survey and future trends
Brain Inspired Computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …
theories, models, hardware architectures, and application systems toward more general …
Fast simulation of a multi-area spiking network model of macaque cortex on an MPI-GPU cluster
Spiking neural network models are increasingly establishing themselves as an effective tool
for simulating the dynamics of neuronal populations and for understanding the relationship …
for simulating the dynamics of neuronal populations and for understanding the relationship …