Neuroscience Dataset Recommendation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Tools for Constraining Neuron Models

Covers tools for constraining neuron models using eFEL and BluePyOpt.

Neurons and Synapses: Overview

Covers computational neuroscience basics, single neuron models, synapses, and neural variability.

Dendrite as a Cable

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Transcriptonomics in Mouse Virtual Cortex

Delves into using transcriptonomics to study the mouse virtual cortex and classifying cortical neurons.

CA1 single cell models

Explores the peculiar properties, variability, optimization, and degeneracy of CA1 neurons.

Neuron Classification: Types and Challenges

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

Modelling principles for CA1 Microcircuit simulation

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

Leaky Integrate-and-Fire Model

Explores the Leaky Integrate-and-Fire Model in computational neuroscience, emphasizing single neuron dynamics.

Morphological Reconstruction in Neuroscience

Explores the challenges and significance of classifying neurons based on morphology for accurate brain modeling and understanding brain function.

Introduction to Systems Neuroscience: Memory Systems Overview

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

Analysis of a 2D neuron model: Constant input

Explores the behavior of a 2D neuron model with constant input.

Reduction to 2 dimensions: Exploiting similarities

Explores reducing the Hodgkin-Huxley model to 2 dimensions by exploiting similarities between variables and discussing the nonlinear integrate-and-fire model.

Page 2 of 2