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"NIPS Neural Information Processing Systems 8-11th December 2014, Montreal, Canada",,, "Paper ID:","592" "Title:","Inferring synaptic conductances from spike trains with a biophysically inspired point process model" Current Reviews First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose a conductance based spiking model (CBSM) that is more biophysically realistic than the currently popular generalized linear model (GLM). Furthermore, the authors present CBSM as a generalization of the GLM and propose a set of constraints that can reduce it to a GLM and a GLM variant that would be as adaptive as the CBSM. The proposed model is an interesting extension to current spiking models in that it is parametrized in a more descriptive way of the spiking process without sacrificing much of the mathematical convenience of the GLM. One thing that could raise some concerns stems from the last paragraph of page 6.