NN
1998
Springer
13 years 4 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
2002
Springer
13 years 4 months ago
2002
Springer
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...
NN
1998
Springer
13 years 4 months ago
1998
Springer
NN
1998
Springer
13 years 4 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
2002
Springer
13 years 4 months ago
2002
Springer
It has recently been suggested that the nervous system employs forward models for the purpose of motor control. The evidence for this hypothetical computational structure comes fr...
NN
2002
Springer
13 years 4 months ago
2002
Springer
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
NN
2002
Springer
13 years 4 months ago
2002
Springer
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
NN
1998
Springer
13 years 4 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 4 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
2002
Springer
13 years 4 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...