In this lesson, you will learn about different approaches to modeling learning in neural networks, particularly focusing on system parameters such as firing rates and synaptic weights impact a network.
In this lesson you will learn about fundamental neural phenomena such as oscillations and bursting, and the effects these have on cortical networks.
In this lecture, you will learn about rules governing coupled oscillators, neural synchrony in networks, and theoretical assumptions underlying current understanding.
In this lesson, you will learn about phenomena of neural populations such as synchrony, oscillations, and bursting.
This lesson provides more context around weakly coupled oscillators.
In this lesson, you will learn about neural activity pattern generation in visual system hallucinations.
This lesson describes how DataLad allows you to track and mange both your data and analysis code, thereby facilitating reliable, reproducible, and shareable research.