Artificial neural network

SpikeFun 1.14 - Running on Big Maxwell (NVIDIA GeForce GTX TITAN X)

NVIDIA GeForce GTX TITAN X comes with 12 GB of video memory, making it ideal GPU for neural network simulations, including spiking neural networks.Upcoming version of DigiCortex engine (v1.14) can simulate more than million multi-compartment neurons on a single TITAN X GPU!

SpikeFun 1.10 - Support for Intel Haswell EP/EX

SpikeFun 1.10 release comes with performance monitoring code update adding support for Intel Haswell EP/EX (Xeon E5/E7 v3) CPUs as well as Intel Crystalwell CPUs.

SpikeFun 1.05 - First release of DigiCortex SDK

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...

SpikeFun 1.01 – Spontaneous emergence of orientation sensitivity in population of V1 cells with voltage-based Spike Timing Dependent Plasticity (STDP)

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...

DigiCortex 1.01 - Test results running on Intel Xeon 2697 v2 (Ivy Bridge EP)

Since Intel Xeon E5 2600 v2 has been out publically, it is time to show some results of DigiCortex engine on the new dual 12-core setup (24 cores / 48 threads total) based on Intel Xeon 2697 v2 CPU. Result: we clock nearly perfect 1.45x speed-up! Click on the article to read more!

DigiCortex 1.0 Released - Visualization with Oculus Rift

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 0.99a - Support for Intel Ivy Bridge EP / EX "IvyTown" CPUs

DigiCortex v0.99a brings performance-monitoring support and optimizations for upcoming Intel Ivy Bridge EP / EX ("IvyTown") Xeon E5 2600/4600 v2 and E7 2800/4800/8800 v2 CPUs including support for memory-bandwidth and power-consumption hardware performance monitoring registers. In addition, it contains performance-fixes for systems with number of CPUs not equal to power of 2. Click on the article to read more!

DigiCortex 0.98 - Support for Intel Haswell AVX2 Instructions

DigiCortex v0.98 implements support for Intel(R) Haswell microarchitecture including optimizations using Advanced Vector Extensions 2 (AVX2), Fused Multiply-Add (FMA) and Gather instructions. Furthermore, performance monitoring in SpikeBenchmark has also been extended so that Haswell CPUs are now supported. Click on the article to read more!

DigiCortex 0.95 - running on CUDA/GPU!

DigiCortex v0.95 brings the early preview of CUDA acceleration. Despite the early stage of the CUDA compute plug-in, simulation performance is more than 7 times faster than optimized multi-threaded CPU code running on a high-end dual 8-core Xeon E5 for large simulations. Click on the title to find out more...

SpikeFun v0.91 - Voltage Based STDP

SpikeFun v0.91 is out and brings support for more advanced long-term plasticity - Voltage-based STDP (based on the model of Clopath et. al). Voltage-based STDP is in agreement with more experimental data than conventional STDP models that consider spike timing only.

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