Temporal Dynamics of Brain Activity in Human Memory Processes

Document Type




Format of Original

12 p.

Publication Date



Society for Chaos Theory in Psychology & Life Sciences

Source Publication

Nonlinear Dynamics, Psychology, and Life Sciences

Source ISSN


Original Item ID

doi: 10.1023/A:1019710611408


We propose a line of study by which Functional Magnetic Resonance Imaging (FMRI) can be used together with nonlinear dynamics concepts as a medium for the study of brain organization. The concentration is on (a) the complex behavior of elementary neural circuits, and how they interact over brief spans of time to produce cognition and memory; and (b) the change in circuit patterns associated with aging. The method of orbital decomposition appears to be ideally suited for these objectives and for determining how they integrate into hierarchical processes. The adapted procedure begins with a 3-D FMRI matrix of metabolic activity. Recurring patterns within a matrix row are identified and matched across rows and across depth slices. These hierarchical patterns are then compared over time for further recurrences. The computational procedure identifies the optimal pattern length over time, the patterns, and the largest Lyapunov for the system of patterns. Computations are assisted by statistical tests for the extent to which the isolated patterns represent the underlying data.


Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 6, No. 4 (October 2002): 323-334. DOI.