- Poster presentation
- Open Access
Scaling, stability and synchronization in mouse-sized (and larger) cortical simulations
© Ananthanarayanan and Modha; licensee BioMed Central Ltd. 2007
- Published: 6 July 2007
- Firing Rate
- Model Time
- Stable Model
- Sharp Transition
- Stable Mode
Together, the two hemispheres of the mouse cortex contain, 16 × 106 neurons and 8,000 synapses per neuron. We have recently developed a massively parallel cortical simulator  that incorporates relatively simpler single compartment spiking neurons , spike-timing dependent plasticity (STDP) , and axonal delays.
We created a mouse-scale network by using 32,768 "groups" (80% excitatory) each with 500 neurons such that each group connects to 100 randomly selected groups and each neuron from the projecting group makes a total of c = 80 synapses with the neurons of the receptive group. Excitatory groups had axonal delays uniformly ranging from 1–20 ms, and inhibitory groups had a fixed delay of 1 ms. All simulations used a 1 ms time step. Using a BlueGene/L with 8,192 processors, with 4 TB of memory, using a super-threshold stimulus delivered to every neuron at 4 Hz, we were able to simulate 5 s of model time in 168 s of real-time at a mean firing rate of 4.95 Hz (in stable mode). To further push the boundaries of scaling, by using c = 160 above, we created a network with 16,384,000 neurons and 16,000 synapses per neuron. Using 16,384 processors and 8 TB of memory, using a 5 Hz stimulation, we were able to achieve 5 s of model time in 265 s of real-time at a mean firing rate of 5 Hz (in stable mode).
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