Spiking Neuron Models Reading Club
Spiking Neuron Models Reading Club
Introduction: Spiking Neuron Models
00.Spiking Neuron Models Reading Club
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Summary: Introduction to reading club of spiking neuron models, schedule, and notice
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31 31. Plasticity and Coding
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- Spiking Neuron Models, Chapter 12
Summary: How is plasticity related to neuronal coding
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30 30. Learning Equations
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- Spiking Neuron Models, Chapter 11
Summary: Unsupervised learning
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29 29. Hebbian Learning
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- Spiking Neuron Models, Chapter 10
Summary: Simplest learning rule, aka, correlation based learning
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28 28. Oscillations in Reverberating Loops
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- Spiking Neuron Models, Section 8.3
Summary: Oscillations in reverberating loops can be simplified and researched.
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27 27. Synchronized Oscillations and Locking
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- Spiking Neuron Models, Section 8.2
Summary: Locking
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25 25. The Significance of Single Spike
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- Spiking Neuron Models, Section 7.4
Summary: Single spike can have dramatic consequences on population activity.
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24 24. From individual neurons to collective bursting
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- Two dimensional neuron models; Integrate and Fire Models Part 1;
- Comparison Between Neuron Models; Homogeneous Network
- Asynchronous Firing
Summary: Predicting collective dynamics from individual neuron properties.
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23 23.Linearized Population Equation and Transients
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- Spiking Neuron Models, Section 7.1, 7.2
Summary: The population equation is quite complicated to solve, hence we linearize it and inspect the perturbation theory.
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22 22.interacting populations and continuum models
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- Spiking Neuron Models, Section 6.5
Summary: network of networks and continuum network
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21 21.Asynchronous Firing
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References:
- Spiking Neuron Models, Section 6.4
Summary: Asynchronous firing of homogeneous network
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