598 search results - page 22 / 120 » VLSI Implementation of Neural Networks |
NIPS
2008
13 years 9 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
ISVLSI
2006
IEEE
14 years 1 months ago
2006
IEEE
We describe analog and mixed-signal primitives for implementing adaptive signal-processing algorithms in VLSI based on anti-Hebbian learning. Both on-chip calibration techniques a...
ICONIP
2008
13 years 9 months ago
2008
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
NIPS
2003
13 years 9 months ago
2003
We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
IJCNN
2000
IEEE
14 years 1 days ago
2000
IEEE
We have fabricated a PCA (Principal Component Analysis) learning network in a FPGA (Field Programmable Gate Array) by using an asynchronous PDM (Pulse Density Modulation) digital ...