Artificial neural network

SpikeFun 0.5 - Sleepy vs. (Really) Awake Brain...

As described in the previous post, SpikeFun v0.5 is using 3D brain model for neural network build-up (if desired). With quite a big jump in complexity of the neural network, there are some very interesting emerging phenomena that could be observed if the network is fairly large. Click on the title to find out more!

SpikeFun 0.5 - Let's get... brainy :-)

SpikeFun v0.5 has just been released and it contains some quite big improvements. How about real 3D model of the brain? If you are interested - click on the title to read more!

Thalamocortical loops, multi-compartment neurons and more...

New SpikeFun versions comes with multi-compartmental neuron models, thalamocortical system simulations including cortex (6-layers) and thalamus modeling, simulation of fMRI BOLD (Blood-Oxygen-Level-Dependence) and several other cool features! Click here, or on the title of the article to read more...

Yes... now we can do spherical neural topologies!

New SpikeFun update (v0.40) adds initial support for the spherical neural network topology (in a very early and buggy form - i.e. neuron picking is totally flawed!). Spherical topology is very useful, as it easily allows simulating of the "reentry" effect, which is also observed in the vertebrate central nervous system (so-called "thalamocortical loops"). Original idea for spherical topology for simulating reentry effects came from the Izhikevich et. al..

1.5 million cortical neurons... and 46.5 million synapses - simulated...

Yesterday, SpikeFun was enhanced with video capturing feature (currently to set of JPEGs only)... and I've decided to run a slightly larger than usual simulation to demonstrate the video capture in full effect... click on the title to see it!

Pages

Subscribe to RSS - Artificial neural network