Abstract

The nematode Caenorhabditis elegans is a tractable model system to study locomotion, sensory navigation and decision-making. In its natural habitat, it is thought to navigate complex multisensory environments in order to find food and mating partners, while avoiding threats like predators or toxic environments. While research in past decades has shed much light on the functions and mechanisms of selected sensory neurons, we are just at the brink of understanding how sensory information is integrated by interneuron circuits for action selection in the worm. Recent technological advances have enabled whole-brain Ca2+ imaging and Ca2+ imaging of neuronal activity in freely moving worms. A common principle emerging across multiple studies is that most interneuron activities are tightly coupled to the worm's instantaneous behaviour; notably, these observations encompass neurons receiving direct sensory neuron inputs. The new findings suggest that in the C. elegans brain, sensory and motor representations are integrated already at the uppermost sensory processing layers. Moreover, these results challenge a perhaps more intuitive view of sequential feed-forward sensory pathways that converge onto premotor interneurons and motor neurons. We propose that sensorimotor integration occurs rather in a distributed dynamical fashion. In this perspective article, we will explore this view, discuss the challenges and implications of these discoveries on the interpretation and design of neural activity experiments, and discuss possible functions. Furthermore, we will discuss the broader context of similar findings in fruit flies and rodents, which suggest generalizable principles that can be learnt from this amenable nematode model organism.This article is part of a discussion meeting issue ‘Connectome to behaviour: modelling C. elegans at cellular resolution’.

Highlights

  • More than three decades ago, the first complete connectome of a nervous system was published in this journal [1]

  • The Caenorhabditis elegans connectome provided some immediate insights into sensorimotor behaviour in the worm [2]

  • If interneuron activity is dynamic, how do we assess the impact of sensory stimulation on these ongoing activities? Here, we propose three steps that should be taken to analyse such data

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Summary

Introduction

More than three decades ago, the first complete connectome of a nervous system was published in this journal [1]. Representative neurons participating in brain dynamics were imaged in freely moving animals systematically; these data showed that these neurons encode behavioural states with a near-perfect reliability, comparable to the classical premotor interneurons: AVB ensemble High-state fluctuations correspond to changes in crawling speed during forward locomotion, while during reverse movement, these neurons are in the Low state and AVA ensemble neurons are in Rise or High states [20]. Calcium imaging of AVA, AVE and RIB in freely moving animals exposed to oxygen shifts confirmed that these neuronal classes retain their strict tuning to motor state under stimulus conditions [20] (box 1) These results showed that the attractor manifold is largely robust to sensory stimulation.

Roberts WM et al 2016 A stochastic
Findings
59. Wiltschko AB et al 2015 Mapping sub-second
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