Regulatory effects of long term biochemical processes in integrate-and-fire model neurons

摘要

The understanding of the dynamics of networks of biological neurons, by means of mathematical descriptions, computer simulations (20) and artificial emulations of their electrophysiological properties (7, 8, 15, 16), is a central issue in computational neuroscience research. Many models have been proposed and a broad class of them shares the same qualitative features (1,5). We can outline two basic approaches: models that account for accurate sub-cellular biophysical phenomena (5, 10, 13, 17), and models that provide input-output mapping, stating a priori the role of signals under a computational perspective (1, 9, 11, 12, 20).