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ESANN
2006
13 years 9 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
ANNPR
2006
Springer
13 years 9 months ago
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...
NECO
2010
147views more  NECO 2010»
13 years 6 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
14 years 28 days ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
IJCNN
2007
IEEE
14 years 1 months ago
Compact hardware for real-time speech recognition using a Liquid State Machine
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
Benjamin Schrauwen, Michiel D'Haene, David Verstra...