66 search results - page 10 / 14 » Learning Precise Timing with LSTM Recurrent Networks |
ICANN
2010
Springer
15 years 20 days ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
ISCAS
2003
IEEE
15 years 4 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
GECCO
1999
Springer
15 years 3 months ago
1999
Springer
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
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IEAAIE
2005
Springer
15 years 5 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
IJCAI
2007
15 years 1 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...