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ISCA
1999
IEEE
87views Hardware» more  ISCA 1999»
15 years 4 months ago
Memory Forwarding: Enabling Aggressive Layout Optimizations by Guaranteeing the Safety of Data Relocation
By optimizing data layout at run-time, we can potentially enhance the performance of caches by actively creating spatial locality, facilitating prefetching, and avoiding cache con...
Chi-Keung Luk, Todd C. Mowry
JCNS
2008
78views more  JCNS 2008»
14 years 10 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
NPL
2002
110views more  NPL 2002»
14 years 11 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
IEEEAMS
2003
IEEE
15 years 5 months ago
Smart Doorplates - Toward an Autonomic Computing System
The last three decades proved Moore’s Law. We witnessed an exponential increase in processing power, memory capacity and communication bandwidth and we expect this increase to c...
Wolfgang Trumler, Faruk Bagci, Jan Petzold, Theo U...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 5 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber