When less is more: non-monotonic spike sequence processing in neurons.

In our model, although inhibitory neurons are not directly projected from input sources, as excitatory neurons learn a specific input source ( Fig 5D , left panel), inhibitory

Having described statistical properties of individual neurons and connections, such as the degree and multiplicity distributions, we now investigate properties that may describe

We show (1) that sprouting of afferent neurons is a hallmark of CYP-induced cystitis in rats and mice, without recruitment of new fibres, (2) that the expression of TRPC1 and TRPC4

Identified adult neurons from the central nervous system of the leech can be removed individually and plated in culture under well-controlled conditions, where they retain

The number of neurons in input layer, hidden layer and output layer of this neural network were kept as 6, 11 and 1, respectively (Fig. This ANN was first trained with

We predicted that, if color knowledge information contributes to the recognition process, subjects will take longer to respond in non-matching trials whenever the

Further- more, for scaled noise, we can test a parallel bundle of neurons with the same response threshold, and recover the positive role of internal noise in enhancing the

Here, we outline and apply this strategy for the first time in a real-world system by study- ing the transition to spiking in neurons of the mammalian cortex. The dynamical system