CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

To achieve this goal, the article considers online neural network services "ChatGPT 3.5", "ChatGPT 4" and "ChatGPT 4o", that allow generating program code in a programming language Python in ...

We present a tutorial for MCMC methods that covers simple Bayesian linear and logistic models, and Bayesian neural networks. The aim of this tutorial is to bridge the gap between theory and ...

In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library ...

Eshraghian began building the code for a spiking neural network in Python as a passion project during the pandemic, somewhat as a method to teach himself the coding language Python.

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian. Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial ...