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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 28 days ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
ICCAD
1997
IEEE
144views Hardware» more  ICCAD 1997»
13 years 11 months ago
Exploiting off-chip memory access modes in high-level synthesis
Memory-intensive behaviors often contain large arrays that are synthesized into off-chip memories. With the increasing gap between on-chip and off-chip memory access delays, it is...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...
NN
2002
Springer
137views Neural Networks» more  NN 2002»
13 years 7 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
CAV
2000
Springer
97views Hardware» more  CAV 2000»
13 years 11 months ago
Detecting Errors Before Reaching Them
Abstract. Any formalmethodor tool is almostcertainlymoreoftenapplied in situationswheretheoutcomeis failure(acounterexample)rather than success (a correctness proof). We present a ...
Luca de Alfaro, Thomas A. Henzinger, Freddy Y. C. ...
ACSAC
2009
IEEE
14 years 2 months ago
Protecting Kernel Code and Data with a Virtualization-Aware Collaborative Operating System
Abstract—The traditional virtual machine usage model advocates placing security mechanisms in a trusted VM layer and letting the untrusted guest OS run unaware of the presence of...
Daniela Alvim Seabra de Oliveira, Shyhtsun Felix W...