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 …
Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute
At the turn of the millennium the computational neuroscience community realized that
neuroscience was in a software crisis: software development was no longer progressing as …
neuroscience was in a software crisis: software development was no longer progressing as …
Computational geometry for modeling neural populations: From visualization to simulation
The importance of a mesoscopic description level of the brain has now been well
established. Rate based models are widely used, but have limitations. Recently, several …
established. Rate based models are widely used, but have limitations. Recently, several …
Event-based update of synapses in voltage-based learning rules
Due to the point-like nature of neuronal spiking, efficient neural network simulators often
employ event-based simulation schemes for synapses. Yet many types of synaptic plasticity …
employ event-based simulation schemes for synapses. Yet many types of synaptic plasticity …
Piece-wise analytic trajectory computation for polytopic switching between stable affine systems
M Rabi - Proceedings of the 23rd International Conference on …, 2020 - dl.acm.org
Our problem is to compute trajectories of a hybrid system that switches between stable affine
ODEs, with switching triggered by hyperplane crossings. Instead of integrating over …
ODEs, with switching triggered by hyperplane crossings. Instead of integrating over …
[PDF][PDF] Field theoretical and simulation methods for the investigation of collective dynamics in neural networks
J Stapmanns - 2022 - scholar.archive.org
The human brain, as an example of a complex nervous system, is made up of approximately
8.6⋅ 1011 neurons that communicate with one another via short electrical pulses. There are …
8.6⋅ 1011 neurons that communicate with one another via short electrical pulses. There are …
[PDF][PDF] Sacha J. van Albada1*, Andrew G. Rowley2, Johanna Senk1, Michael Hopkins2, Maximilian Schmidt1, 3, Alan B. Stokes2, David R. Lester2, Markus …
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 …