  Curved Trajectory Detection (CTD) process could be considered among
high-level planned capabilities for cognitive agents, has which been acquired
under aegis of embedded artificial spiking neuronal circuits. In this paper,
hard-wired implementation of the cross-correlation, as the most common
comparison-driven scheme for both natural and artificial bionic constructions
named Depth Detection Module(DDM), has been taken into account. It is
manifestation of efficient handling upon epileptic seizures due to application
of both excitatory and inhibitory connections within the circuit structure.
Presented traditional analytic approach of the cross-correlation computation
with regard to our neural mapping technique and the acquired traced precision
have been turned into account for coherent accomplishments of the
aforementioned design in perspective of the desired accuracy upon high-level
cognitive reactions. Furthermore, the proposed circuit could be fitted into the
scalable neuronal network of the CTD, properly. Simulated denouements have been
captured based on the computational model of PIONEER mobile robot to verify
characteristics of the module, in detail.
