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Models that contain the Modeling Application : Brian (Home Page)

(Brian is a new 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 documentation and a large community of users providing support and extension packages.)

   Models
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al., 2013)
Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)
Brette-Gerstner model (Touboul and Brette 2008)
CN bushy, stellate neurons (Rothman, Manis 2003) (Brian)
Computing with neural synchrony (Brette 2012)
Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010)
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
STDP and oscillations produce phase-locking (Muller et al. 2011)


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