Speed estimation with propagation maps

We propose a neural architecture that estimates the speed of motion. The basis is a two-dimensional map made of locally connected integrate-and-fire neurons, that propagates and integrates synaptic input in a dendritic-cable-like manner, but irrespective of any direction. The propagation dynamics of such a map are tuned to filter preferred speeds: slow map dynamics filter slow speeds, fast map dynamics filter fast speeds. The propagation map is potentially simple enough for an analog hardware approach. r 2005 Elsevier B.V. All rights reserved.

• Type: Journal
• Year: 2006
• Where: IJON
• Authors: C. Rasche
• Keywords: IJON 2006, Slow Map Dynamics, Speeds, Two-dimensional Map