This talk enumerates the challenges regarding data accessibility and reusability inherent in the current scientific publication system, and discusses novel approaches to these challenges, such as the EBRAINS Live Papers platform.
This lesson aims to define computational neuroscience in general terms, while providing specific examples of highly successful computational neuroscience projects.
This lesson covers membrane potential of neurons, and how parameters around this potential have direct consequences on cellular communication at both the individual and population level.
In this lesson you will learn about neurons' ability to generate signals called action potentials, and biophysics of voltage-gated ion channels.
This lesson discusses voltage-gating kinetics of sodium and potassium channels.
In this lesson, you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson delves into the specifics of how action potentials propagate through individual neurons.
This lesson discusses long-range inhibitory connections in the brain, with examples from three different systems.
An introduction to data management, manipulation, visualization, and analysis for neuroscience. Students will learn scientific programming in Python, and use this to work with example data from areas such as cognitive-behavioral research, single-cell recording, EEG, and structural and functional MRI. Basic signal processing techniques including filtering are covered. The course includes a Jupyter Notebook and video tutorials.
This lecture covers visualizing extracellular neurotransmitter dynamics
This lecture consists of the second half of the introduction to signal transduction, here focusing on cell receptors and signalling cascades.
In this lesson, you will learn about GABAergic interneurons and local inhibition on the circuit level.
This lesson discusses both state-of-the-art detection and prevention schema in working with neurodegenerative diseases.
This lesson provides an overview of how to construct computational pipelines for neurophysiological data using DataJoint.
This lesson covers the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson provides an introduction to the myriad forms of cellular mechanisms whicn underpin healthy brain function and communication.
In this lesson you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson provides an introduction to the course Cellular Mechanisms of Brain Function.
This lesson covers the spatiotemporal dynamics of the membrane potential.
In this lesson, you will learn about neurotransmitter release in the presynaptic specialization.