In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...

Doidge (2010), referring to a study undertaken by Michael Merzenich et al. (1983), found that “[w]hen it came to allocating brain‑processing power,” the brain allocated “[its] neurological resources” ...

In this manuscript, the authors describe a software package for automatic differentiation of action potentials generated by excitatory and inhibitory neurons, acquired using high-density ...

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 ...

Analyzing the types of neurons based on morphological characteristics is pivotal for understanding brain function and human development. Existing analysis approaches based on 2D view images fully use ...

Neuronal morphology can be represented using various feature representations, such as hand-crafted morphometrics and deep features. These features are complementary to each other, contributing to ...

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 ...

I tried deploying Bert on inf2, using the http://763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-inference-neuronx:1.13.1-transformers4.36.2-neuronx ...

Repository for Genetic Code Project. Contribute to JohnDi0505/Genetic_Code development by creating an account on GitHub.