fmincon function with interior point algorithm Search Results


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MathWorks Inc function fmincon's interior-point algorithm
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Lower and upper bound used during the  fmincon  search (same units as in <xref ref-type= Table 1 )." width="100%" height="100%">

Journal: Frontiers in Synaptic Neuroscience

Article Title: Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study

doi: 10.3389/fnsyn.2020.585539

Figure Lengend Snippet: Lower and upper bound used during the fmincon search (same units as in Table 1 ).

Article Snippet: Differential equations were solved using forward Euler and with an integration time step of 0.1 ms. Synaptic weights w were initialized at w i = 0.5 and at the end of the simulation we read out the final value w f . The 9 parameters of our model were fitted to the outcome of different experiments using the Matlab function fmincon (interior-point algorithm).

Techniques: