Two alternative concepts have been o ered to explain the neural mechanisms responsible for the generation of the respiratory motor pattern in the brainstem: a network paradigm and...
Ilya A. Rybak, Julian F. R. Paton, R. F. Rogers, W...
Recent in vivo intracellular measurements indicate that cortical neurons operate in a highconductance state mainly caused by intense network activity. Biophysical models of morpho...
Neocortical neurons in vivo operate in a high-conductance state which may a ect the dynamics of dendritic integration, but this aspect remains only barely characterized. We invest...
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
Daniel Remondini, Nathan Intrator, Gastone C. Cast...
We try to understand the basics of human image processing from a gist recognition per-7 spective. Because the gist is only a subset of the image's information, we think that ...
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
This paper presents a new adaptive procedure for the linear and non-linear separation of signals with non-uniform, symmetrical probability distributions, based on both simulated a...
In this paper I will show how reactive agents can solve relatively complex tasks without requiring any internal state and I will demonstrate that this is due to their ability to c...