Neuron

How NGF Affects Neuronal Function And Differentiation

Abstract PC12 cells are a common model system used to study neuronal differentiation. Here we provided evidence supporting PC12 neuronal differentiation in response to NGF. Light microscopy showed that PC12 cells acquire neuronal features following two days of treatment, such as outgrowths similar in morphology to neurites and connections that could be synapses. Immunocytochemistry for …

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Motor Neuron Disease(MND) Early Signs: Fasciculation Detection In Muscles

A group of researchers discovered a way to detect fasciculation in muscles, which serves to detect early signs of motor neuron disease (MND). The article, Ultrasound-Based Detection of Fasciculations in Healthy and Diseased Muscles, were published by IEEE Xplore. This article was peer reviewed and can be found in Transactions on Biomedical Engineering or online, …

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Spiking Neural Network And Facial Expression Recognition

Spiking neural network is considered one of the best neural networks nowadays with its computational model aims to understand and replicate human abilities. Replicating a special class of artificial neural network where neuron models communicate by sequences of spikes, the researcher believe that this technique is the best for the face recognition, facial expression recognition …

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Motor Control and Supplementary Motor Area

“ Motor control requires the integration of sensory information which are relayed as action potential’s down the neural pathways by receptors such as mechanoreceptors, photoreceptors, thermoreceptors. The sensory systems are used for vision, touch, hearing, proprioception, smell and taste, while receptors are used to detect the stimulus internally and externally. Each types of receptors are …

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Robust Iris Segmentation Method Based On a New Active Contour And Artificial Neural Networks

Active contours or snakes are computer-generated curves that move within images to find object boundaries. They are often used in computer vision and image analysis to detect and locate objects, and to describe their shape. For example, a snake might be used edge detection, corner detection, motion tracking, and stereo matching; one might be used …

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PERFORMANCE ASPECTS CONSIDERATIONS OF ACLASS OF ARTIFICIAL NEURAL NETWORK

Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance on) tasks by considering examples, generally without task-specific programming. For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have …

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Hardware implementation of hyperbolic tangent and sigmoid activation functions

During a neuron activation, it is better to understand what is the actual neuron output. There are quite a few transfer functions that can be utilized. The traditional one is called “sigmoid activation function”, but the tanh (hyperbolic tangent) function can also be used to transfer outputs. At this moment, the rectifier transfer function become …

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Neural Work

What is neural network? A neural network is a system of hardware and/or software patterned same as the operation of neurons in the human brain. Neural networks are also called artificial neural networks. It is a type of deep learning technologies. A neural network usually includes a large number of processors operating in parallel and …

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Neurotransmission or Synaptic Transmission

Neurotransmission (Latin: transmissio “passage, crossing” from transmittere “send, let through”), also called synaptic transmission, is the process by which signaling molecules called neurotransmitters are released by the axon terminal of a neuron (the presynaptic neuron), and bind to and activate the receptors on the dendrites of another neuron (the postsynaptic neuron). A similar process occurs …

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