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119
Voted
ESANN
2000
15 years 2 months ago
SpikeProp: backpropagation for networks of spiking neurons
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
111
Voted
ADHOC
2008
122views more  ADHOC 2008»
15 years 25 days ago
Balancing computation and communication costs: The case for hybrid execution in sensor networks
Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is their performance overhead. Compiling VM bytecode to...
Joel Koshy, Ingwar Wirjawan, Raju Pandey, Yann Ram...
105
Voted
TVLSI
2002
94views more  TVLSI 2002»
15 years 10 days ago
A network flow approach to memory bandwidth utilization in embedded DSP core processors
This paper presents a network flow approach to solving the register binding and allocation problem for multiword memory access DSP processors. In recently announced DSP processors,...
Catherine H. Gebotys
143
Voted
CIBCB
2008
IEEE
15 years 7 months ago
Classification of mouse fRNA genes using evolved neural networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
95
Voted
OSDI
2006
ACM
16 years 1 months ago
A Modular Network Layer for Sensornets
An overall sensornet architecture would help tame the increasingly complex structure of wireless sensornet software and help foster greater interoperability between different code...
Cheng Tien Ee, Rodrigo Fonseca, Sukun Kim, Daekyeo...