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» Analog Hardware Model for Morphological Neural Networks
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NIPS
1997
13 years 9 months ago
Computing with Action Potentials
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
John J. Hopfield, Carlos D. Brody, Sam T. Roweis
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 17 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
DAGSTUHL
2008
13 years 9 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb
ICANN
2009
Springer
14 years 7 days ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
DCOSS
2006
Springer
13 years 11 months ago
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuato...
Christopher J. Rozell, Don H. Johnson