Schweitzer, The structure and function of gustatory neurons in the nucleus of the solitary tract. 1. A classification of neurons based on morphological features, J. Comp. Neurol. 347 Z1994. 531-544.Renehan, W.E., Jin, I., Zhang, X. and Schweitzer, L. (1996) The structure and ...
Neurons have diverse molecular, morphological, connectional and functional properties. We believe that the only realistic way to manage this complexity — and thereby pave the way for understanding the structure, function and development of brain circuits — is to group neurons into types, which can...
Furthermore, the remaining structure and organization of the paper are as follows. In "Related work", the related work on morphological classification of neurons is introduced. In "Methodology", three improved network structures and the Sugeno fuzzy integration algorithm are introduced. "Experiments" ...
Figure 2 Neural Network Structure After creating the training and testing matrices, the demo program creates a fully connected feed-forward neural network with three input neurons, five hidden neurons for computation and three output neurons. It turns out that a 4-5-3 fully connected ...
4.1.1.2 Artificial neural network classifier-based methods Artificial neural network (ANN) classifier is a supervised multi-classifier composed of one input layer, one or more hidden layers and one output layer. Each layer contains several nodes named artificial neurons which are connected with other...
After two convolutional layers, a max-pooling layer is used to reduce the number of features and the spatial dimension of the activation maps without loss of information. It also helps to prevent overfitting. At the end of each block, a dropout layer randomly drops neurons from the network an...
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website were used for the study. The signals were pre-processed using Wavelet Transform to remove the noise and to extract the...
More, it's not the only problem which we find in using spiking neurons network (SNN), we have to choose different parameters and functions. In this paper, in the middle of several spiking neurons models, we have chosen the spiking response model (SRM) to apply in phonetic classification ...
e, AT8-positive neurons in hippocampus. f, Hippocampus stained with antibody RD4 (specific for 4R tau). g, Gallyas-Braak silver-positive neurons and glial cells in hippocampus. h, Hippocampus stained with antibody RD3 (specific for 3R tau). i, Higher-power view of frontal cortex stained ...
Various patterns of neural activity are observed in dynamic cortical imaging data. Such patterns may reflect how neurons communicate using the underlying circuitry to perform appropriate functions; thus it is crucial to investigate the spatiotemporal cha