Neuroscience Online
A collection of information pertaining to computational neuroscience and machine learning.
Table of Contents
- Electrical Engineering Theory
- Essential Laws
- Components and Diagrams
- Important Equations
- Neuroscience
- Cellular Neuroscience
- Ion Channels
- Short-Term Synaptic Plasticity
- Systems Neuroscience
- Visual System
- Auditory System
- Motor Control
- Pathways
- Hippocampus
- Computational Neuroscience
- Basics
- Math
- Building a Model
- Dynamics
- Modeling
- Ion Channels
- Single Cells
- Synapses
- Networks
- Neurotransmitter Effects
- Short-Term Synaptic Plasticity
- Modeling Long-Term Synaptic Plasticity
- Modeling Local Field Potential (LFP)
- Software
- NEURON
- NMODL (.mod) Files
- BMTK
- Installation
- BMTools
- LFPy
- Control Systems
- Feeback
- b
- Non-Linear Systems
- Limit Cycles
- b
- Machine Learning
- Supervised Learning
- Neural Networks
- Artificial Neural Networks
- Convolutional Neural Networks
- Unsupervised Learning
- Clustering Algorithms
- Expectation Maximization (EM)
- Dimensionality Reduction
- Reinforcemet Learning
- a
- Computational Intelligence
- Genetic Algorithms
- b
- Paper Summaries
- Neuroscience
- Hummos Et Al 2014 - Intrinsic Mechanisms Stabilize Encoding and Retrieval Circuits Differentially in Hippocampal Network Model
This page is part of a collection of pages on various topics of computational neuroscience. Please direct questions and suggestions to the author Tyler Banks [website][github] at tyler@tylerbanks.net.