In many physical statistical, biological and other investigations it is desirable to approximate a system of points by objects of lower dimension and/or complexity. For this purpo...
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
The essential dynamics of some biological central pattern generators (CPGs) can be captured by a model consisting of x neurons connected in a ring. These circuits, like many oscill...
Carmen C. Canavier, Douglas A. Baxter, J. W. Clark...
We investigate the application of a logic-based framework representing an agent environment as a composite structure that evolves over time. Such a complex structure contains the i...
After over thirty years of distributed computing, debugging distributed applications is still regarded as a difficult task. While it could be argued that this condition stems from ...