ModelDB: Models that contain Julia

Simulation Environment: Julia

Note: this list includes both models hosted here at ModelDB and models where have metadata and link to the sourcecode somewhere else. These may also be viewed separately; see the browse by simulator page.

Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020)
Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
Robust and tunable bursting requires slow positive feedback (Franci et al 2018)
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)

https://julialang.org/
"Julia was designed from the beginning for high performance. Julia programs compile to efficient native code for multiple platforms via LLVM (Low Level Virtual Machine)."

Top authors for Julia:

Litwin-Kumar A (2)
Doiron B (2)
Maes A (1)
Barahona M (1)
Clopath C (1)
Bittner SR (1)
Williamson RC (1)
Snyder AC (1)
Chase SM (1)
Smith MA (1)

Top concepts studied with Julia:

Activity Patterns (2)
Bursting (1)
Temporal Pattern Generation (1)
Bifurcation (1)
Simplified Models (1)
Synchronization (1)
Oscillations (1)
Methods (1)
Information transfer (1)

Top neurons studied with Julia:

Abstract integrate-and-fire leaky neuron (2)
Abstract integrate-and-fire adaptive exponential (AdEx) neuron (1)

Top currents studied with Julia:

I Na,t (1)
I L high threshold (1)
I T low threshold (1)
I A (1)
I K (1)
I K,Ca (1)
I Potassium (1)

Top references cited by these models:

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 (2)
Morrison A, Aertsen A, Diesmann M. (2007). Spike-timing-dependent plasticity in balanced random networks. Neural computation. 19 (2)
Sussillo D, Abbott LF. (2009). Generating coherent patterns of activity from chaotic neural networks. Neuron. 63 (2)
Laje R, Buonomano DV. (2013). Robust timing and motor patterns by taming chaos in recurrent neural networks. Nature neuroscience. 16 (2)
Harvey CD, Coen P, Tank DW. (2012). Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature. 484 (2)