Synthetic Nervous Systems and the Functional Subnetwork Approach

Nick's notes on how to apply the Functional Subnetwork Approach to tune Synthetic Nervous System models and controllers.

References

• Nonspiking Functional Subnetwork Approach paper (2017)

• Spiking Functional Subnetwork Approach paper (2020)

• Analysis of Pattern Generating Network dynamics (2017)

Lecture notes

2MB

01 Neuron and Synapse Essentials.pdf

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Lesson 01 - Basics of neuron and synapse function

2MB

02 Designing Synaptic Connections.pdf

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Lesson 02 - Transmission and modulation synaptic pathways

2MB

03 Arithmetic Functional Subnetworks.pdf

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Lesson 03 - Applying FSA to tune networks that perform arithmetic

2MB

04 Some Notes on Simulation.pdf

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Lesson 04 - Basics of simulation

8MB

05 Dynamic Functional Subnetworks.pdf

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Lesson 05 - Applying FSA to tune networks that perform calculus

5MB

06 Central Pattern Generators.pdf

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Lesson 06 - Analyzing and designing rhythmic networks

10MB

07 Spiking Neuron and Synapse Dynamics.pdf

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Lesson 07 - Extending FSA to spiking neuron and synapse models

Example Matlab code

Download Matlab demonstrations of all the ideas presented in these lessons.