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 computational principles that growth cones employ to detect and respond to environmental chemotactic gradients, focusing particularly on growth-cone shape dynamics.
In this lecture you will learn that in developing mouse somatosensory cortex, endogenous Btbd3 translocate to the cell nucleus in response to neuronal activity and oriente primary dendrites toward active axons in the barrel hollow.
In this presentation, the speaker describes some of their recent efforts to characterize the transcriptome of the developing human brain, and and introduction to the BrainSpan project.
This lesson gives an introduction to OpenWorm: an open-source project dedicated to creating a virtual C. elegans nematode in a computer.
The Open Source Brain (OSB) initiative (http://www.opensourcebrain.org) has been created to address the issues of poor accessibility, transparency, validation, and reuse of models in computational neuroscience.This lecture covers the aims of the Open Source Brain initiative, the current functionality of the website, and the range of models already available, and future plans for the project.
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.