DigiCortex

NVIDIA Volta has just been made available to wide public through AWS. We have tested DigiCortex v1.22 on a 8x NVIDIA V100 system and achieved real-time simulation performance of 12.6 million neurons and 431 million synapses, which is almost 3x speedup compared to K80!

We have tested DigiCortex v1.22 on a dual NVIDIA P100 accelerator with significant results: real-time simulations of 5 million neurons and 200 million synapses are possible, thanks to the HBM2 memory bandwidth and other Tesla P100 features. Click on the article to read more.

DigiCortex v1.21 brings improvements in the GPU area: it now includes support for multi-GPU CUDA-accelerated simulations and a full support for the latest generation NVIDIA Pascal GPU architecture

DigiCortex 1.16 fixes a nasty bug which resulted in crashes when running on systems with more than 64 logical cores. This happened on our test system based on dual-CPU setup with Intel Xeon E5 2699 V3, which is the first time a 2S system has >64 logical cores. Fix is available with DigiCortex 1.16, and the article shows SpikeFun 1.16 managing to take 100% of all 72 logical Haswell EP cores.

SpikeFun 1.05 release comes with the first version of DigiCortex SDK. With DigiCortex SDK it is now possible to connect to the running simulation and obtain information about neuron states, inject current into any compartment and get spiking information. Click on the title to read more...

DigiCortex Engine can be used to model some of the emergent phenomena of the developing cortex. In this article we show how spontaneous orientation sensitivity of the primary visual cortex (V1) cells develops in presence of natural video signal and voltage-dependent spike-timing dependent plasticity (vSTDP). Click on the title to read more...

Today, DigiCortex engine has reached version 1.0 after almost two and a half years of development. Version 1.0 brings experimental visualization support for Oculus Rift next-generation virtual reality headset. When running in "Oculus" mode, it is now possible to enter the world of the brain simulation! We will add more and more interesting VR visualization concepts in the near future! Click on the title to read more...

DigiCortex v0.97 adds further improvements to the model of early vision: thalamic (dLGN) processing. Signal coming from the virtual retina is now passed through a pool of neurons in dorsal Lateral Geniculate Nucleus (dLGN) and projected to primary visual cortex (V1). Cortico-thalamic feedback and inhibition through Reticular Thalamic Nucleus (RTN) is also modeled. Click on the article to read more!

DigiCortex v0.96 brings early support for visual input from the outside world. Input from a web camera or a Sony(R) PS3 Eye Cam can be fed to artificial retina processing stage (using Virtual Retina package from INRIA Neuromathcomp research-team) and then to two arrays of simulated retinal ganglion cells ('ON' and 'OFF' layers). Final destination for the retinal signal is primary visual cortex (V1). Click on the article to read more!

Ana Balevic and Ivan Dimkovic from DigiCortex.net talk with Rich Brueckner from insideHPC about the DigiCortex project - video of the interview is posted here: http://insidehpc.com/2013/03/26/amazing-digicortex-engine-maps-the-brain... check it out!