Oct 1, 2021 · We propose a look-up table approach that stores precomputed values thereby circumventing most computations at runtime and enabling extremely fast simulations.
Oct 1, 2021 · This powerful approach allows for multi-scale neuronal networks to be simulated at large scales, enabling the investigation of how low-level ...
Bridging Hierarchies in Multi-Scale Models of Neural Systems - NCBI
www.ncbi.nlm.nih.gov › PMC8517488
Oct 1, 2021 · We propose a look-up table approach that stores precomputed values thereby circumventing most computations at runtime and enabling extremely ...
This motivates the development of more parsimonious models that can capture the complex non-linear dynamics of synapses accurately while maintaining a minimal ...
Bridging hierarchies in multi-scale models of neural systems: look-up tables enable computationally efficient simulations of non-linear synaptic dynamics.
Fast input-output synapse model of glutamatergic receptors AMPA and NMDA that can capture nonlinear interactions via look-up table abstraction.
Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics.
Feb 22, 2024 · (1) BrainPy provides flexibility in modeling brain dynamics. The brain exhibits a unique multi-scale organization characterized by hierarchical ...
Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics.
Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics.