This paper provides a useful systematic quantification of the relationship between electrophysiological response properties of single neurons with their position in the brain. The quality of the ...
Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
Understanding the molecular basis of dopaminergic (DA) neuron diversity is crucial for both experimental work and clinical applications. Here, we present a comprehensive single-cell dataset ...
Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The ...
GAN-Based Siamese Neuron Network for Modulation Classification Against White-Box Adversarial Attacks
Abstract: With the extensive application of modulation classification in the field of wireless communication, various methods of modulation classification have been proposed to improve the ...
Internal bodily signals, like cardio-respiratory ones, are constantly transmitted from the body to the brain ensuring self-regulation of the organism. Subcortical brain regions are particularly ...
Abstract: Few-shot image classification aims to recognize unseen classes with few labeled samples. Existing meta-learning models learn the ability of learning good representation or model parameters, ...
Our bodies’ nerve cells are important for transmitting electrical and chemical information between different parts of the brain and between the brain and other parts of the nervous system. One of the ...
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