NN
1998
Springer
13 years 7 months ago
1998
Springer
In lamprey, the supraspinal control of velocity is mainly accomplished by the reticulospinal (RS) system. During locomotion, RS neurones are rhythmically active with a cycle durat...
NN
1998
Springer
13 years 7 months ago
1998
Springer
NN
1998
Springer
13 years 7 months ago
1998
Springer
In this paper we present an approach to robot arm control based on exploiting the dynamical properties of a simple neural network oscillator circuit coupled to the joints of an ar...
NN
1998
Springer
13 years 7 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
NN
1998
Springer
13 years 7 months ago
1998
Springer
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...
NN
1998
Springer
13 years 7 months ago
1998
Springer
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting ...
NN
1998
Springer
13 years 7 months ago
1998
Springer
A learning model for coupled oscillators is proposed. The proposed learning rule takes a simple form by which the intrinsic frequencies of the component oscillators and the coupli...
NN
1998
Springer
13 years 7 months ago
1998
Springer
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
NN
1998
Springer
1998
Springer
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks
13 years 7 months ago
NN
1998
Springer
13 years 7 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...