T. Natschlaeger and W. Maass
Experimental data have shown that synapses are heterogeneous: different
synapses respond with different sequences of amplitudes of postsynaptic
responses to the same presynaptic spike train. Neither the role of synaptic
dynamics itself nor the role of the heterogeneity of synaptic dynamics for
computations in neural circuits is well understood. We present in this
article methods that make it feasible to compute for a given synapse with
known synaptic parameters the spike train that is optimally fitted to the
synapse, in the sense that it produces the largest sum of postsynaptic
responses. To our surprise we find that most of these optimally fitted spike
trains match common firing patterns of specific types of neurons that are
discussed in the literature. Hence our analysis provides a possible
functional explanation for the experimentally observed regularity in the
combination of specific types of synapses with specific types of neurons in
neural circuits.