[ICLR 2024] Dynamic Neural Response Tuning
It is my Final Degree Project of Grado de Tecnologías y Servicios de Telecomunicación in Universidad Politécnica de Madrid
A collection of artificial neuron models. Written in Julia using Jupyter Notebooks
This project is aim to create a sandbox for reinforcement learning experiments on artificial creatures that will act in complex simulated environment
Bu repo, Yapay Sinir Ağları (YSA) hakkında hem teorik hem de pratik bilgileri bir arada sunmaktadır. Yapay Sinir Ağlarının temel prensiblerini, nasıl çalılştıklarını ve temel bileşenlerini detaylı bir şekilde inceleyeceksinisz.
Implementation of leaky integrate-and-fire model.
An innovative neuron framework designed to solve systems of linear equations using Gaussian elimination with back substitution.
Development of an Artifical Neuron purely using only Digital Electronics for a simple traffic light controller application.
Explains how an artificial neuron works, learns, and how its activation function operates.
A new neural model made of competing polar subneuron modules within a single neuron using opposing activation patterns.
A Linear Equation Neuron (LEN) efficiently solves systems of linear equations using Gaussian elimination and back substitution. This precise computational unit integrates seamlessly into AI systems, enhancing their interpretability and reliability. 🐙💻
The Polar Neuron introduces a new way of processing information with two opposing activation channels, enhancing decision-making in neural networks. This architecture allows for a balanced output by integrating responses from excitatory and inhibitory polar subneurons. 🧠💻
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