Dominic-DallOsto/Spiking-Insect-Head-Direction-Network

Spiking Attractor Networks as a Model of Insect Head Direction Circuits

We extend the spiking network model from Diehl and Cook, 2015 to implement spiking attractor networks with small numbers of neurons, consistent with recent work from Pisokas et. al, 2020 that insect head direction circuits can be modelled as spiking networks with 8 neural columns.

Running the simulations

Required libraries:

• brian2
• pycma

Interesting notebooks:

• Attractor network based on the Diehl and Cook model
• Using CMA-ES to learn different bump shapes
• Developing a rate based theory for head direction networks
• Using this theory to calibrate spiking networks