Experimental Data Techniques: Caveats and Summary

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Neuron Classification: Types and Challenges

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

Helping Humans: Neuroprosthetics

Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.

Introduction to Systems Neuroscience: Memory Systems Overview

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

The Neuropixels Platform: Visualizing Electrophysiological Rhythms

Delves into the Neuropixels platform, discussing challenges, prospects, and transformative neuroscience experiments.

Neuroscience Data Analysis

Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.

Biophysical Understanding of Neuronal Behavior

Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.

Data strategies: building neural circuits

Explores data strategies for building neural circuits in simulation neuroscience.

AdEx model: Firing patterns and phase plane analysis

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

MathDetour 1: Separation of time scales

Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.

Compiling Synapse NMODL.mod file

Covers the process of compiling NMODL.mod files for synapse modeling using NEURON and creating a neuron to host the synapse.