Sciweavers

1614 search results - page 120 / 323
» Learning Rules and Their Exceptions
Sort
View
123
Voted
NIPS
2001
15 years 4 months ago
Learning Spike-Based Correlations and Conditional Probabilities in Silicon
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
Aaron P. Shon, David Hsu, Chris Diorio
IJCNN
2008
IEEE
15 years 9 months ago
Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver
Abstract— We have designed a distributed and locally reprogrammable address event receiver. Incoming address-events are monitored simultaneously by all synapses, allowing for arb...
Simeon A. Bamford, Alan F. Murray, David J. Willsh...
EUSFLAT
2003
109views Fuzzy Logic» more  EUSFLAT 2003»
15 years 4 months ago
Diagnosis of dermatological diseases by a neuro-fuzzy system
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
133
Voted
NIPS
2004
15 years 4 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
106
Voted
ACL
1994
15 years 4 months ago
Acquiring Receptive Morphology: A Connectionist Model
This paper describes a modular connectionist model of the acquisition of receptive inflectional morphology. The model takes inputs in the form of phones one at a time and outputs ...
Michael Gasser