Accession Number:

ADA626811

Title:

Bio-Inspired Computation: Clock-Free, Grid-Free, Scale-Free and Symbol Free

Descriptive Note:

Final rept. 19 Mar 2012-18 Sep 2015

Corporate Author:

QUEENSLAND UNIV BRISBANE (AUSTRALIA)

Personal Author(s):

Report Date:

2015-06-11

Pagination or Media Count:

5.0

Abstract:

The project developed a new fundamental component for bio-inspired computing, based on a new way of modelling spiking neurons, and applying them to a new type of long-range temporal prediction task. The new model neuron has been applied to event-based data from a new type of motion sensitive camera - the neuromorphic Dynamic Vision Sensor DVS. The model neuron incorporates temporal delays on both dendrites inputs to neurons and axons outputs from neurons. Delays on axons have not previously been modeled in sensory-motor processing tasks, and their addition significantly simplifies asynchronous network development with spiking neurons, in particular reducing the computational complexity of algorithms for sparse data over dense sensory arrays. Effectively, the new model neuron treats each spike as a connection between temporal patterns extended in time in both its past and future.

Subject Categories:

  • Anatomy and Physiology
  • Operations Research
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE