Modeling spike timing-dependent plasticity
Abstract
Synaptic strength can be modified by the relative timing of pre and postsynaptic activity, a process termed spike timing-dependent plasticity (STDP). Experiments have shown that these changes can be long lasting and that synapses can be either strengthened (long-term potentiation, LTP) or weakened (long-term depression, LTD). Building on previous modeling work, we have developed a detailed STDP model that uses a biochemical reaction network capable of three stable states: the LTP state, the LTD state, and the basal state (no synaptic modification). Our model is able to explain STDP observed in hippocampal neurons in response to pre and postsynaptic spike pairs and more complex spike combinations. The results give insights into how postsynaptic Ca2+ concentration can lead to LTP or LTD and suggest that voltage-dependent calcium channels (VDCCs) play a key role. The results also show that the model is capable of nonlinear synaptic integration, an important computational property found in neural systems.
Degree
Ph.D.
Advisors
Giordano, Purdue University.
Subject Area
Neurosciences|Biophysics
Off-Campus Purdue Users:
To access this dissertation, please log in to our
proxy server.