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Updated Energy Budgets for Neural Computation in the Neocortex and Cerebellum
TLDR
Estimates for the energy expenditure on neural computation in a simple model for the cerebral cortex and a detailed model of the cerebellar cortex are provided.
NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail
TLDR
The development of NeuroML as a common description language for biophysically detailed neuronal and network models enables interoperability across multiple simulation environments, thereby improving model transparency, accessibility and reuse in computational neuroscience.
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
TLDR
LEMS and NeuroML 2 provide a new, comprehensive framework for defining computational models of neuronal and other biological systems in a machine readable format, making them more reproducible and increasing the transparency and accessibility of their underlying structure and properties.
The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex
TLDR
A multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data is established and considered a major step in the development of in silica neuroscience.
NineML: the network interchange for neuroscience modeling language
TLDR
NineML aims to provide tool support for explicit declarative definition of spiking neuronal network models both conceptually and mathematically in a simulator independent manner and to be self-consistent and highly flexible, allowing addition of new models and mathematical descriptions without modification of the previous structure and organization of the language.
Toward standard practices for sharing computer code and programs in neuroscience
TLDR
This paper describes why computer programs underlying scientific publications should be shared and lists simple steps for sharing to aid reproducibility of research.
NetPyNE: a tool for data-driven multiscale modeling of brain circuits
TLDR
NetPyNE is a tool that provides both a programmatic and graphical interface to facilitate the definition, parallel simulation and analysis of data-driven multiscale network models in NEURON and enables both expert and inexperienced modelers to tackle challenging problems in neuroscience.
Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model
TLDR
It is shown that asynchronous background excitatory input increases neuronal gain and extends both temporal and spatial integration of stimulus-evoked synaptic input onto the dendritic tuft, and that glutamate-bound NMDA receptors arising from ongoing network activity can provide a powerful spatially distributed nonlinear dendrite conductance.
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