ArticlePLoS computational biology2018
NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics.PLoS computational biology · 2026Article
- Adversarial AI reveals mechanisms and treatments for disorders of consciousness.Nature neuroscience · 2026Article
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- Neural field modeling and analysis of consciousness states in the brain.Neuroscience of consciousness · 2025Article
- Recruiting neural field theory for data augmentation in a motor imagery brain-computer interface.Frontiers in robotics and AI · 2024Article
- Geometric constraints on human brain function.Nature · 2023Article
- Neural Field Continuum Limits and the Structure-Function Partitioning of Cognitive-Emotional Brain Networks.Biology · 2023Review
- Whole-Brain Modelling: Past, Present, and Future.Advances in experimental medicine and biology · 2022Article
- Selection of stimulus parameters for enhancing slow wave sleep events with a neural-field theory thalamocortical model.PLoS computational biology · 2021Article
- Neural Field Theory of Evoked Response Sequences and Mismatch Negativity With Adaptation.Frontiers in human neuroscience · 2021Article
- Diffuse neural coupling mediates complex network dynamics through the formation of quasi-critical brain states.Nature communications · 2020Article
- Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures.PloS one · 2020Article
- Sleep Modelling across Physiological Levels.Clocks & sleep · 2019Review
- Quantitative theory of deep brain stimulation of the subthalamic nucleus for the suppression of pathological rhythms in Parkinson's disease.PLoS computational biology · 2018Article
- Suppression of Parkinsonian Beta Oscillations by Deep Brain Stimulation: Determination of Effective Protocols.Frontiers in computational neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A user ready, portable, documented software package, NFTsim, is presented to facilitate numerical simulations of a wide range of brain systems using continuum neural field modeling. NFTsim enables users to simulate key aspects of brain activity at multiple scales. At the microscopic scale, it incorporates characteristics of local interactions between cells, neurotransmitter effects, synaptodendritic delays and feedbacks. At the mesoscopic scale, it incorporates information about medium to large scale axonal ranges of fibers, which are essential to model dissipative wave transmission and to produce synchronous oscillations and associated cross-correlation patterns as observed in local field potential recordings of active tissue. At the scale of the whole brain, NFTsim allows for the inclusion of long range pathways, such as thalamocortical projections, when generating macroscopic activity fields. The multiscale nature of the neural activity produced by NFTsim has the potential to enable the modeling of resulting quantities measurable via various neuroimaging techniques. In this work, we give a comprehensive description of the design and implementation of the software. Due to its modularity and flexibility, NFTsim enables the systematic study of an unlimited number of neural systems with multiple neural populations under a unified framework and allows for direct comparison with analytic and experimental predictions. The code is written in C++ and bundled with Matlab routines for a rapid quantitative analysis and visualization of the outputs. The output of NFTsim is stored in plain text file enabling users to select from a broad range of tools for offline analysis. This software enables a wide and convenient use of powerful physiologically-based neural field approaches to brain modeling. NFTsim is distributed under the Apache 2.0 license.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.