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. 2010 Jun 17;2:19. doi: 10.3389/fnsyn.2010.00019

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Copyright © 2010 Froemke, Debanne and Bi.

This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

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Spike-timing-dependent plasticity can be used to predict how complex spike trains induce long-term changes in synaptic strength. (A) Timing requirements for STDP induction in excitatory neurons from low-density hippocampal cultures. Left, examples of LTP induced by pre→post pairing (top) and LTD induced by post→pre pairing (bottom) at short time intervals. Right, critical time window for synaptic modifications. Each circle represents one experiment. Curves, single exponential fits to the data. From Bi and Poo (1998, 2001). (B) How does the STDP learning rule for spike pairs need to be modified for predicting the effects of complex spike trains? Left, examples of LTP (top) and LTD (bottom) induced by natural spike train fragments in slices of young rat visual cortex. Right, scene from a movie used to obtain natural spike trains from the cat visual cortex in vivo. From Froemke and Dan (2002).