Linear algebra is the branch of mathematics concerning linear equations such as linear functions and their representations through matrices and vector spaces. As such, it underlies a huge variety of analyses in the neurosciences.  This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.

This lesson was created by RootMath.

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

The INS Emerging Issues Task Force held a virtual panel discussion on the evolving role and increased adoption of digital applications to deliver mental health care. It was held as a session at the annual conference of the Italian Society for Neuroethics. Speakers were:

• Nicole Martinez Martin, Stanford University
• Cynthia Sieck, Ohio State University
• John Torous, Harvard Medical School
• Anthony Weiss, Beth Israel Deaconess Medical Center

This lecture covers visualizing extracellular neurotransmitter dynamics

2nd part of the lecture. Introduction to cell receptors and signalling cascades

GABAergic interneurons and local inhibition on the circuit level.

Introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Introduction to the course Cellular Mechanisms of Brain Function.

Introduction to the course Cellular Mechanisms of Brain Function.

Ion channels and the movement of ions across the cell membrane.

Action potential initiation and propagation.

Synaptic transmission and neurotransmitters

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.

An introduction to the NeuroElectro project, which aims to organize information on cellular neurophysiology. Speaker: Shreejoy Tripathy

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 covers research to understand the activity of single neurons and populations of neurons in the visual system.

Neurodata Without Borders (NWB) is a data standard for neurophysiology that provides neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data.

Neuroscience Information Exchange (NIX) Format data model allows storing fully annotated scientific datasets, i.e. the data together with rich metadata and their relations in a consistent, comprehensive format. Its aim is to achieve standardization by providing a common data structure and APIs for a multitude of data types and use cases, focused on but not limited to neuroscience. In contrast to most other approaches, the NIX approach is to achieve this flexibility with a minimum set of data model elements.