ArticleFrontiers in neuroinformatics2009
Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator.
Article in Frontiers in neuroinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Case Series of Stereotactic Biopsy of Brainstem Lesions through the Transfrontal Approach.Journal of neurological surgery reports · 2022Article
- Computational neuroscience and neuroinformatics: Recent progress and resources.Journal of biosciences · 2018Review
- Python in neuroscience.Frontiers in neuroinformatics · 2015Article
- Reward-based learning for virtual neurorobotics through emotional speech processing.Frontiers in neurorobotics · 2013Article
- An efficient simulation environment for modeling large-scale cortical processing.Frontiers in neuroinformatics · 2011Article
- Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience.Frontiers in neuroscience · 2010Article
- A circuit-level model of hippocampal place field dynamics modulated by entorhinal grid and suppression-generating cells.Frontiers in neural circuits · 2010Article
- Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator.Frontiers in neuroinformatics · 2009Article
- Trends in programming languages for neuroscience simulations.Frontiers in neuroscience · 2009Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroscience modeling experiments often involve multiple complex neural network and cell model variants, complex input stimuli and input protocols, followed by complex data analysis. Coordinating all this complexity becomes a central difficulty for the experimenter. The Python programming language, along with its extensive library packages, has emerged as a leading "glue" tool for managing all sorts of complex programmatic tasks. This paper describes a toolkit called Brainlab, written in Python, that leverages Python's strengths for the task of managing the general complexity of neuroscience modeling experiments. Brainlab was also designed to overcome the major difficulties of working with the NCS (NeoCortical Simulator) environment in particular. Brainlab is an integrated model-building, experimentation, and data analysis environment for the powerful parallel spiking neural network simulator system NCS.
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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.