Connectomics of the Octopus vulgaris vertical lobe provides insight into conserved and novel principles of a memory acquisition network

Author:

Bidel Flavie1ORCID,Meirovitch Yaron2ORCID,Schalek Richard Lee2,Lu Xiaotang2,Pavarino Elisa Catherine2,Yang Fuming2ORCID,Peleg Adi2,Wu Yuelong2,Shomrat Tal3,Berger Daniel Raimund2ORCID,Shaked Adi1,Lichtman Jeff William2ORCID,Hochner Binyamin1ORCID

Affiliation:

1. Department of Neurobiology, Silberman Institute of Life Sciences, The Hebrew University

2. Department of Molecular and Cellular Biology, Harvard University

3. Faculty of Marine Sciences, Ruppin Academic Center

Abstract

Here, we present the first analysis of the connectome of a small volume of the Octopus vulgaris vertical lobe (VL), a brain structure mediating the acquisition of long-term memory in this behaviorally advanced mollusk. Serial section electron microscopy revealed new types of interneurons, cellular components of extensive modulatory systems, and multiple synaptic motifs. The sensory input to the VL is conveyed via~1.8 × 106 axons that sparsely innervate two parallel and interconnected feedforward networks formed by the two types of amacrine interneurons (AM), simple AMs (SAMs) and complex AMs (CAMs). SAMs make up 89.3% of the~25 × 106VL cells, each receiving a synaptic input from only a single input neuron on its non-bifurcating primary neurite, suggesting that each input neuron is represented in only~12 ± 3.4SAMs. This synaptic site is likely a ‘memory site’ as it is endowed with LTP. The CAMs, a newly described AM type, comprise 1.6% of the VL cells. Their bifurcating neurites integrate multiple inputs from the input axons and SAMs. While the SAM network appears to feedforward sparse ‘memorizable’ sensory representations to the VL output layer, the CAMs appear to monitor global activity and feedforward a balancing inhibition for ‘sharpening’ the stimulus-specific VL output. While sharing morphological and wiring features with circuits supporting associative learning in other animals, the VL has evolved a unique circuit that enables associative learning based on feedforward information flow.

Funder

Human Frontier Science Program

Israel Science Foundation

National Institutes of Health

Aharon and Ephraim Katzir Study Grants

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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