Neural Ensemble Coding of Satiety States

Ensemble strategies to build neural network to facilitate decision making

There are three major strategies to form neural network ensembles. The simplest one is the Cross Validation strategy in which all members are trained with the same training data. Bagging and boosting strategies pro-duce perturbed sample from training data. This paper provides an ideal model based on two important factors: activation function and number of neurons in the hidden layer and based u...

Neural correlates of behavior in the moth Manduca sexta in response to complex odors.

With Manduca sexta as a model system, we analyzed how natural odor mixtures that are most effective in eliciting flight and foraging behaviors are encoded in the primary olfactory center in the brain, the antennal lobe. We used gas chromatography coupled with multiunit neural-ensemble recording to identify key odorants from flowers of two important nectar resources, the desert plants Datura wri...

Chapter 2 : Neuronal ensemble coding of birdsong

In many models of neural population coding, similar sensory or motor states are represented in the brain by similar neural ensembles (Georgopoulos et al., 1999; Lewis and Kristan, 1998; Wilson and McNaughton, 1993). To explore this issue, we measured the activity of large numbers of single neurons in the pre-motor nucleus RA of the singing zebra finch. During singing, individual RA neurons gene...

Monitoring of Regional Low-Flow Frequency Using Artificial Neural Networks

Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...

Title Information coding via spontaneous oscillations in neural ensembles