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 lecture covers NeuronUnit, a library that builds upon SciUnit and integrates with several existing neuroinformatics resources to support validating single-neuron models using data gathered by neurophysiologists.
This lesson provides an introduction to the NeuroElectro project, which aims to organize information on cellular neurophysiology.
In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.
This lesson covers simultaneously recorded neurons in non-human primates coordinate their spiking activity in a sequential manner that mirrors the dominant wave propagation directions of the local field potentials.
This talk covers statistical analysis of spike train data, the modeling approach GLM, and the problem of assessing neural synchrony.
This talk covers statistical methods for characterizing neural population responses and extracting structure from high-dimensional neural data.
This presentation discusses research aimed at understanding the activity of single neurons and populations of neurons in the visual system.