A new" herding" algorithm is proposed which directly converts observed moments into a
sequence of pseudo-samples. The pseudo-samples respect the moment constraints and …

A detailed description of the simultaneous type, serial token (ST²) model is presented. ST² is
a model of temporal attention and working memory that encapsulates 5 principles:(a) MM …

Recent experiments on cortical neural networks have revealed the existence of well-defined
avalanches of electrical activity. Such avalanches have been claimed to be generically scale …

Perceptual input changes constantly in an unpredictable fashion, often changing before our
somewhat sluggish perceptual systems have adequately processed this input. This can give …

The synchronized behavior of neurons depends on the structure and function of the synaptic
connections between them. One of the activity-dependent synaptic modifications is the burst …

The synapse is typically viewed as a single compartment, which acts as a linear gain
controller on incoming input. Traditional plasticity rules enable this gain control to be …

In this paper we review our research on the effect and computational role of dynamical
synapses on feed-forward and recurrent neural networks. Among others, we report on the …

Recent models of the oculomotor delayed response task have been based on the
assumption that working memory is stored as a persistent activity state (a'bump'state). The …

Most people have great difficulty in recalling unrelated items. For example, in free recall
experiments, lists of more than a few randomly selected words cannot be accurately …

We investigate the behavior of a model neuron that receives a biophysically realistic noisy
postsynaptic current based on uncorrelated spiking activity from a large number of afferents …