Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-08-05
Physics
Condensed Matter
Disordered Systems and Neural Networks
9 pages, 4 figures
Scientific paper
10.1103/PhysRevE.68.061914
Spike-timing-dependent plasticity (STDP) has recently been shown in some physiological studies. STDP depends on the precise temporal relationship of pre- and post-synaptic spikes. Many authors have indicated that a precise balance between long-term potentiation (LTP) and long-term depression (LTD) of STDP is significant for a stable learning. However, a situation in which the balance is maintained precisely is inconceivable in the brain. Using a method of the statistical neurodynamics, we show robust retrieval properties of spatio-temporal patterns in an associative memory model against the imbalance between LTP and LTD. When the fluctuation of LTD is assumed to obey a Gaussian distribution with mean 0 and variance $\delta^2$, the storage capacity takes a finite value even at large $\delta$. This means that the balance between LTP and LTD of STDP need not to be maintained precisely, but must be maintained on average. Furthermore, we found that a basin of attraction becomes smaller as $\delta$ increases while an initial critical overlap remains unchanged.
Matsumoto Narihisa
Okada Masato
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