Code generation in computational neuroscience: a review of tools and techniques
Advances in experimental techniques and computational power allowing researchers to
gather anatomical and electrophysiological data at unprecedented levels of detail have …
gather anatomical and electrophysiological data at unprecedented levels of detail have …
Long-term desynchronization by coordinated reset stimulation in a neural network model with synaptic and structural plasticity
Several brain disorders are characterized by abnormal neuronal synchronization. To
specifically counteract abnormal neuronal synchrony and, hence, related symptoms …
specifically counteract abnormal neuronal synchrony and, hence, related symptoms …
Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions
T Fardet, A Levina - PLoS Computational Biology, 2020 - journals.plos.org
In this work, we introduce new phenomenological neuronal models (e LIF and mAdExp) that
account for energy supply and demand in the cell as well as the inactivation of spike …
account for energy supply and demand in the cell as well as the inactivation of spike …
Multi-Dimensional Categorization of Research Software with Examples
W Hasselbring, S Druskat, J Bernoth, P Betker… - 2024 - oceanrep.geomar.de
Research software has been categorized in different contexts to serve different goals. We
start with a look at what research software is, before we discuss the purpose of research …
start with a look at what research software is, before we discuss the purpose of research …
[PDF][PDF] Energy-based models to describe complex neuronal activities and metabolic constraints
T Fardet, A Levina - BioRxiv, 2020 - academia.edu
In this work, we introduce new phenomenological neuronal models (eLIF and mAdExp) that
account for energy supply and demand in the cell as well as their interactions with spiking …
account for energy supply and demand in the cell as well as their interactions with spiking …
[PDF][PDF] Code Generation in Computational Neuroscience: A Review of Tools and Techniques
Blundell et al. Code Generation in Computational Neuroscience second is to allow model
definitions in a high level interpreted language, although this may limit performance …
definitions in a high level interpreted language, although this may limit performance …