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The Brian spiking neural network simulator

Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent document

http://www.briansimulator.org/

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The Brian spiking neural network simulator | briansimulator.org Reviews
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Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent document
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The Brian spiking neural network simulator | briansimulator.org Reviews

https://briansimulator.org

Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent document

INTERNAL PAGES

briansimulator.org briansimulator.org
1

Download « The Brian spiking neural network simulator

http://briansimulator.org/download

The Brian spiking neural network simulator. Brian tutorial at CNS 2015. Google Summer of Code 2015. Brian tutorial at CNS 2014. New Brian paper: Equation-oriented specification of neural models for simulations. First release of brian2tools. Brian 2.0 release candidate. Brian 2.0 fourth beta release. Installation instructions for Brian 2. Installation instructions for Brian 1. 8221; in the documentation. Both Brian 1 and Brian 2 are available on the PyPI package index. The packages are named brian.

2

Brian 2.0 second beta release « The Brian spiking neural network simulator

http://briansimulator.org/brian-2-0-second-beta-release

The Brian spiking neural network simulator. Brian tutorial at CNS 2015. Google Summer of Code 2015. Brian tutorial at CNS 2014. New Brian paper: Equation-oriented specification of neural models for simulations. First release of brian2tools. Brian 2.0 release candidate. Brian 2.0 fourth beta release. Laquo; Brian 2.0 fourth beta release. Google Summer of Code 2015. Brian 2.0 second beta release. We are happy to announce the second beta release of Brian 2.0! Several new features have been added:. Thank you...

3

Support « The Brian spiking neural network simulator

http://briansimulator.org/support

The Brian spiking neural network simulator. Brian tutorial at CNS 2015. Google Summer of Code 2015. Brian tutorial at CNS 2014. New Brian paper: Equation-oriented specification of neural models for simulations. First release of brian2tools. Brian 2.0 release candidate. Brian 2.0 fourth beta release. We have several mailing lists for Brian support. For users, the following two mailing lists are the most relevant:. For asking questions or providing feedback about Brian.

4

Brian tutorial at CNS 2013 « The Brian spiking neural network simulator

http://briansimulator.org/brian-tutorial-at-cns-2013

The Brian spiking neural network simulator. Brian tutorial at CNS 2015. Google Summer of Code 2015. Brian tutorial at CNS 2014. New Brian paper: Equation-oriented specification of neural models for simulations. First release of brian2tools. Brian 2.0 release candidate. Brian 2.0 fourth beta release. Laquo; What is computational neuroscience? XIV) Analysis and synthesis. What is computational neuroscience? XIII) Making new theories. Brian tutorial at CNS 2013. On July 13th 2013. Many thanks for your.

5

New Brian paper: Equation-oriented specification of neural models for simulations « The Brian spiking neural network simulator

http://briansimulator.org/new-brian-paper-equation-oriented-specification-of-neural-models-for-simulations

The Brian spiking neural network simulator. Brian tutorial at CNS 2015. Google Summer of Code 2015. Brian tutorial at CNS 2014. New Brian paper: Equation-oriented specification of neural models for simulations. First release of brian2tools. Brian 2.0 release candidate. Brian 2.0 fourth beta release. Laquo; New alpha version of Brian 2. Yet another alpha version of Brian 2.0. New Brian paper: Equation-oriented specification of neural models for simulations. Published in the Python in Neuroscience II.

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mybrainextension.blogspot.com mybrainextension.blogspot.com

My brain extension: April 2012

http://mybrainextension.blogspot.com/2012_04_01_archive.html

The public notebook of a computational neuroscientist. Donnerstag, 19. April 2012. G-Node workshop on neuronal GPU computing: symposium. Last week, the G-Node workshop on neuronal GPU computing. Took place at LMU Munich. I had the pleasure organizing the scientific part, while Christian Kellner and Thomas Wachtler from G-Node. Did an extremely good job taking care of local organization (with solid support from lovely Manuela Brandenburg). First speaker of the symposium was Romain Brette. Doesn't. Als...

mybrainextension.blogspot.com mybrainextension.blogspot.com

My brain extension: November 2010

http://mybrainextension.blogspot.com/2010_11_01_archive.html

The public notebook of a computational neuroscientist. Donnerstag, 25. November 2010. Towards fast scientific python. Seems to come of age in its role as an universal language for scientific computing. It already has a good standing in the computational neuroscience community. The Neural Ensemble project. Gathers some initiatives that use Python as the primary language for neuronal simulation and data analysis. Large simulator projects like Nest. Which is one of my current favorite papers. A compiler for...

romainbrette.fr romainbrette.fr

Simulation of neural networks | Romain Brette

http://romainbrette.fr/simulation-of-neural-networks

Aller au contenu principal. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Simulation of neural networks. I developed a new simulator for spiking neural networks named Brian. And then Marcel Stimberg. Support in the Brian simulator (12). You can have a look at this recent presentation:. Brian: Neural simulation in the post-connectionist era. B rette, R. (2006). Exact simulation of integrate-and-fire models with synaptic conductances. Brette, R. et al (2007). Brette, R...

romainbrette.fr romainbrette.fr

Consciousness | Romain Brette

http://romainbrette.fr/category/blog/consciousness

Aller au contenu principal. Aller au contenu secondaire. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Archives pour la catégorie Consciousness. The hard problem of consciousness explained with sex. Why is it not just information as it is for a computer, why does the experience have a particular quality? Certainly, when it is not in the brain, the molecule does not provide pleasure to a Petri dish. The act of ejaculating, end of the story. But sex does not fit so...

romainbrette.fr romainbrette.fr

Perceptual invariants: representational vs. structural theories | Romain Brette

http://romainbrette.fr/perceptual-invariants-representational-vs-structural-theories

Aller au contenu principal. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Perceptual invariants: representational vs. structural theories. In his book on vision, David Marr. S ecological theory (see my post on the difference between these two theories. There are two ways: either it is wired (innate) or it is acquired, learned by associating many transformed instances of the same object with the same percept . So in a representational theory, dealing with invarian...

romainbrette.fr romainbrette.fr

What is computational neuroscience? | Romain Brette

http://romainbrette.fr/category/blog/what-is-computational-neuroscience-romains-blog

Aller au contenu principal. Aller au contenu secondaire. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Archives pour la catégorie What is computational neuroscience? What is computational neuroscience? XXIV) - The magic of Darwin. What is Darwin’s theory of evolution? I would guess that the probability is vanishingly small. You will note that this is not a very popular technique in software engineering. Another way to put it: consider the species of programs ...So it...

romainbrette.fr romainbrette.fr

Rate vs. timing | Romain Brette

http://romainbrette.fr/category/blog/rate-vs-timing

Aller au contenu principal. Aller au contenu secondaire. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Archives pour la catégorie Rate vs. timing. Why do neurons spike? Why do neurons produce those all-or-none electrical events named action potentials? Incidentally, this theory is sometimes (wrongly) used. First, neurons start spiking before they make any synaptic contact, and that activity is important for normal development ( Pineda and Ribera, 2009. Those are long...

romainbrette.fr romainbrette.fr

Publications | Romain Brette

http://romainbrette.fr/publications

Aller au contenu principal. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. You can follow my work on Twitter. Brette R (2016). Subjective physics. In Closed Loop Neuroscience. El Hady (ed), Academic Press. (Previously as an arXiv paper: Subjective physics. 2013) arXiv:1311.3129 [q-bio.NC]. Bénichoux V, Rébillat M, Brette R (2016). On the variation of interaural time differences with frequency. JASA 139, 1810. BioRxiv doi: http:/ dx.doi.org/10.1101/037549. Rébillat M*,...

romainbrette.fr romainbrette.fr

Spatial perception of pain | Romain Brette

http://romainbrette.fr/category/blog/spatial-perception/spatial-perception-of-pain

Aller au contenu principal. Aller au contenu secondaire. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Archives pour la catégorie Spatial perception of pain. Spatial perception of pain (IV) Empirical evidence. In this post I confront the propositions I previously described. About where it hurts with experimental evidence. There is a recent review about spatial perception of pain, which contains a lot of relevant information (Haggard et al., 2013). Mancini F, Sambo CF...

romainbrette.fr romainbrette.fr

What is sound? | Romain Brette

http://romainbrette.fr/category/blog/what-is-sound

Aller au contenu principal. Aller au contenu secondaire. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Archives pour la catégorie What is sound? Some propositions for future spatial hearing research (I) The ecological situation and the computational problem. The basic question is: how do we (or animals) localize sounds in space? This does not cover all of spatial hearing). All of this is very sensible, but it means that in terms of the computational task of localizin...

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The Brian spiking neural network simulator

The Brian spiking neural network simulator. Brian 1.4.4 (maintenance release). Brian 2.1.2 and Brian2GeNN 1.1.5. Brian 2.1 and Brian2GeNN 1.1. Brian 1.4.4 (maintenance release). Brian 2.1.2 and Brian2GeNN 1.1.5. Brian 2.1 and Brian2GeNN 1.1. To get an idea of what writing a simulation in Brian looks like, the following code defines a randomly connected network of integrate and fire neurons with exponential inhibitory and excitatory currents, runs the simulation and makes the raster plot on the right.

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