Modeling single-neuron dynamics is the first step to quantitatively understand brain computation. Yet, the existing point neuron models fail to capture dendritic effects. Using realistic neuronal simulations, theoretical analyse and electrophysiological experiments, we have developed an effective point neuron model that incorporates additional synaptic integration currents arising from the nonlinear interaction between synaptic currents across spatial dendrites. This model captures the somatic voltage response of a neuron with complex dendrites and is capable of performing rich dendritic computations.