Lessons from a maggot.

I just finished reading this awesome paper from @albertcardona and colleagues, in which they map the Drosophila larva connectome, which is made up of 3,013 neurons and 544,000 synapses.

https://www.biorxiv.org/content/10.1101/2022.11.28.516756v1

The paper is full of interesting results, but here are my 4 favorites!

🧵​ 1/6

Only 66% of connections are between axons and dendrites!

So, the neuron-neuron connectome is actually 4 (or more?) matrices (axon-dendrite, axon-axon, dendirte-dendite and dendite-axon).

Also, these “differentially contribute to feedforward and feedback pathways”.

WILD.

🧵​ 2/6

Almost everything is multimodal!

The maggot has 12 types of sensory neurons (visual, thermal, olfactory etc), but beyond these only 12% of neurons are unimodal (receive input from a single sense), the other 88% are multimodal!

Plus, most multimodal neurons (62%) integrate information from all modalities!

While, it seems intuitive that deeper layers in a neural network would be progressively more multimodal, this seems quite different to (many) block diagram models (e.g., visual pathways).

🧵​ 3/6

There is lots of recurrence!

41% of neurons were involved in polysynaptic recurrent loops (e.g., neuron 1 –> 2 –> 3 –> 1).

🧵​ 4/6

Zigzag motifs!

There are brain-nerve cord zigzag motifs between descending (DN) and ascending neurons (AN).

E.g., DN -> AN -> DN1 etc.

Intuitively, these could control sequences of actions!

🧵​ 5/6

Data aside, I was blown away by the level of detail in the paper and how ambitious mapping a larger connectome seems.

As Larry Abbott etc point out (below) going from a worm to a mouse = a 10-million-fold increase in brain volume.

https://www.sciencedirect.com/science/article/pii/S0092867420310011

🧵​ 6/6