Generative models of brain dynamics
M Ramezanian-Panahi, G Abrevaya… - Frontiers in artificial …, 2022 - frontiersin.org
This review article gives a high-level overview of the approaches across different scales of
organization and levels of abstraction. The studies covered in this paper include …
organization and levels of abstraction. The studies covered in this paper include …
Brian 2, an intuitive and efficient neural simulator
Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …
These models can feature novel dynamical equations, their interactions with the …
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 …
Modernizing the NEURON simulator for sustainability, portability, and performance
The need for reproducible, credible, multiscale biological modeling has led to the
development of standardized simulation platforms, such as the widely-used NEURON …
development of standardized simulation platforms, such as the widely-used NEURON …
Larger GPU-accelerated brain simulations with procedural connectivity
Simulations are an important tool for investigating brain function but large models are
needed to faithfully reproduce the statistics and dynamics of brain activity. Simulating large …
needed to faithfully reproduce the statistics and dynamics of brain activity. Simulating large …
CoreNEURON: an optimized compute engine for the NEURON simulator
P Kumbhar, M Hines, J Fouriaux… - Frontiers in …, 2019 - frontiersin.org
The NEURON simulator has been developed over the past three decades and is widely
used by neuroscientists to model the electrical activity of neuronal networks. Large network …
used by neuroscientists to model the electrical activity of neuronal networks. Large network …
Brian2GeNN: accelerating spiking neural network simulations with graphics hardware
Abstract “Brian” is a popular Python-based simulator for spiking neural networks, commonly
used in computational neuroscience. GeNN is a C++-based meta-compiler for accelerating …
used in computational neuroscience. GeNN is a C++-based meta-compiler for accelerating …
Generative Models of Brain Dynamics--A review
The principled design and discovery of biologically-and physically-informed models of
neuronal dynamics has been advancing since the mid-twentieth century. Recent …
neuronal dynamics has been advancing since the mid-twentieth century. Recent …
OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids
OpenSBLI is an open-source code-generation system for compressible fluid dynamics
(CFD) on heterogeneous computing architectures. Written in Python, OpenSBLI is an explicit …
(CFD) on heterogeneous computing architectures. Written in Python, OpenSBLI is an explicit …
SpiNNTools: the execution engine for the SpiNNaker platform
AGD Rowley, C Brenninkmeijer, S Davidson… - Frontiers in …, 2019 - frontiersin.org
SpiNNaker is a massively parallel distributed architecture primarily focused on real time
simulation of spiking neural networks. The largest realization of the architecture consists of …
simulation of spiking neural networks. The largest realization of the architecture consists of …