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Chapter 4. Identification of Nonlinear D... > 4.6 Future Directions - Pg. 125

4.6 Future Directions 125 be extended by taking all recorded neuronal activities (from both CA3 and CA1 neurons) as inputs and then performing model selection/estimation to more thoroughly analyze a given neural population and reveal both the intra- and inter-region functional connectivity in it (Okatan et al., 2005; Eldawlatly et al., 2009; Stevenson et al., 2009). 4.6 FUTURE DIRECTIONS The underlying assumption of this modeling work is that the MIMO nonlin- ear dynamics of the hippocampus are based on stationary processes. This is probably a valid assumption for the learned behavior of well-trained animals (e.g., during the DNMS task) when the spiking representations of extrinsic cues in both input and output regions are formed and stabilized. However, an important characteristic of the cortical regions, especially the hippocampus, is experience-dependent plasticity--for example, long-term potentiation (LTP) and long-term depression (LTD). Thus, the MIMO nonlinear dynamics of