Updated on 22 August 2013
Memory of 250.000 PCs
Simulating a large neuronal network and a process like learning requires large amounts of computing memory. Synapses, the structures at the interface between two neurons, are constantly modified by neuronal interaction and simulators need to allow for these modifications.
More important than the number of neurons in the simulated network is the fact that during the simulation each synapse between excitatory neurons was supplied with 24 bytes of memory. This enabled an accurate mathematical description of the network. In total, the simulator coordinated the use of about one petabyte of main memory, which corresponds to the aggregated memory of 250.000 PCs.