492 search results - page 34 / 99 » Neuronal Models with Current Inputs |
NIPS
2004
13 years 11 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ISTCS
1993
Springer
14 years 1 months ago
1993
Springer
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
CDC
2009
IEEE
14 years 2 months ago
2009
IEEE
— We consider the problem of attitude stabilization using exclusively visual sensory input, and we look for a solution which can satisfy the constraints of a “bio-plausible” ...
MDAFA
2004
Springer
14 years 3 months ago
2004
Springer
MDA software development requires the interoperability of a wide range of modelling services (operations taking models as inputs and outputs), such as model edition, model transfor...
NECO
2007
13 years 9 months ago
2007
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...