Poster E123, Monday, March 26, 2:30-4:30 pm, Exhibit Hall C
Estimating the Memory and Cognitive Capabilities of Time-Delayed Neural Structures
Yosef Tirat-Gefen1,2; 1George Mason University, 2MaxWave Research LLC
This study discusses a mathematical model taking into account time delay effects in large neuronal nets. By using an approximate model of the highly nonlinear equation describing both artificial and biological neuronal nets in the presence of large propagation delays, we investigate the effect of delays in increasing the computational capacity and complexity of these nets, and its effect of on the net energy efficiency. We found that the presence of large time delays in biological neuronal nets may actually improve the number of available states to represent knowledge and improve their parallelism. Another effect is the impossibility to have a precise determination of both state values and their derivatives in time, what may be actually positive as it may enhance the computational capability of the nets at the price of decreasing state observability. We complete with an analysis of how time delays effects may have influenced the evolution of biological neuronal nets.
Topic Area: OTHER