This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.
2nd part of the lecture. This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.
This lecture will provide an overview of neuroimaging techniques and their clinical applications
A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.
The lecture focuses on rationale for employing neuroimaging methods for movement disorders
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 oriented 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.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
2nd part of the lecture. Introduction to cell receptors and signalling cascades
GABAergic interneurons and local inhibition on the circuit level.
This lecture covers describing and characterizing an input-output relationship.
This tutorial talks about how to upload and version your data in OpenNeuro.org
This tutorial shows how to share your data in OpenNeuro.org
This tutorial shows how to run analysis in OpenNeuro.org
Inferring results from incomplete data
Finding parameter values, confidence intervals.
Methods for estimating parameters.
Measuring the correspondece between data and model.
How to choose useful variables.