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ISTCS
1993
Springer
13 years 11 months ago
Analog Computation Via Neural Networks
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
Hava T. Siegelmann, Eduardo D. Sontag
MICRO
2008
IEEE
72views Hardware» more  MICRO 2008»
14 years 2 months ago
Low-power, high-performance analog neural branch prediction
Shrinking transistor sizes and a trend toward low-power processors have caused increased leakage, high per-device variation and a larger number of hard and soft errors. Maintainin...
Renée St. Amant, Daniel A. Jiménez, ...
CSREAESA
2004
13 years 9 months ago
CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...
IJCNN
2000
IEEE
14 years 23 hour ago
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
Selectiveattentionis a mechanismsused to sequentiallyselectthe spatiallocationsof salientregionsin the sensor’sfieldof view. This mechanism overcomesthe problem of flooding limi...
Giacomo Indiveri
NIPS
2007
13 years 9 months ago
Subspace-Based Face Recognition in Analog VLSI
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either progr...
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figuero...