RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures

: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes advantage of the retinotopic arrangement in the receptive fields. The dynamics of the simulator are driven by the spiking events of the simple integrate-and-fire neurons. By using an implicit synaptic rule to represent the synapses, RetinotopicNET achieves a great reduction of memory requirement for simulation. We show that under such conditions the system is fit for the simulation of very large networks of integrate-and-fire neurons. Furthermore we test RetinotopicNET in the simulation of a complex neural architecture for the ventral visual pathway. We prove that the system is linearly scalable with respect to the number of neurons in the simulation. Key-words: - Neural simulator; Retinotopy; Receptive fields; Event-driven; Spikes.

• Type: Conference
• Year: 2003
• Where: ESANN
• Authors: Raul Cristian Muresan
• Keywords: ESANN 2003, ESANN 2007, Integrate-and-fire Neurons, Receptive Fields, Retinotopic-like Receptive Fields