Due to its inherent neural delays, the visual system has an outdated access to sensory
information about the current position of moving objects. In contrast, living organisms are …

The spiking neural network (SNN) is the third generation of neural networks and performs
remarkably well in cognitive tasks, such as pattern recognition. The temporal neural encode …

In this work, we propose a two-layered descriptive model for motion processing from retina
to the cortex, with an event-based input from the asynchronous time-based image sensor …

This thesis examines sequence learning in the Bayesian Confidence Propagation Neural
Network (BCPNN). The methodology utilized throughout this work is computational and …

Our senses are our mind's window to the outside world and determine how we perceive our
environment. Sensory systems are complex multi-level systems that have to solve a …

Coding the position of moving objects is an essential ability of the visual system in fulfilling
precise and robust tracking tasks. In daily vision, low contrast conditions introduce sensory …