Multielectrode Recordings From Identified Neurons Involved in Visually Elicited Escape Behavior

• Published in: Frontiers in behavioral neuroscience 2020-11, Vol.14, p.592309-592309
• Main Authors: Cámera, Alejandro, Belluscio, Mariano Andres, Tomsic, Daniel
• Format: Article
• Language: English
• Subjects: Animals; avoidance; Behavior; Behavioral Neuroscience; crustacean; Decision making; Electrophysiological recording; Escape behavior; insect; Intracellular; motion detection; Nervous system; Neural networks; Neurons; Neurosciences; Optic flow; simultaneous extracellular recording; tetrodes; Visual pathways; Visual stimuli
• ISSN: 1662-5153; 1662-5153
• DOI: 10.3389/fnbeh.2020.592309

A major challenge in current neuroscience is to understand the concerted functioning of distinct neurons involved in a particular behavior. This goal first requires achieving an adequate characterization of the behavior as well as an identification of the key neuronal elements associated to that action. Such conditions have been considerably attained for the escape response to visual stimuli in the crab Neohelice. During the last two decades a combination of in vivo intracellular recording and staining with behavioral experiments and modeling, led us to postulate that a microcircuit formed by four classes of identified lobula giant (LG) neurons operates as a decision making node for a number of important visually-guided components of the crab´s escape behavior. However, these studies were done by recording LG neurons individually. In order to investigate the combined operations performed by the group of LG neurons, we began to use multielectrode recordings. Here we describe the methodology and show results of simultaneously recorded activity from different lobula elements. The different LG classes can be distinguished by their differential responses to particular visual stimuli. By comparing the response profiles of extracellular recorded units with intracellular recorded responses to the same stimuli, two of the four LG classes could be faithfully recognized. Additionally, we recorded units with stimulus preferences different to those exhibited by the LG neurons. Among these, we found units sensitive to optic flow with marked directional preference. Units classified within a single group according to their response profiles exhibited similar spike waveforms and similar auto-correlograms, but which, on the other hand, differed from those of groups with different response profiles. Additionally, cross-correlograms revealed excitatory as well as inhibitory relationships between recognizable units. Thus, the extracellular multielectrode methodology allowed us to stably record from previously identified neurons as well as from undescribed elements of the brain of the crab. Moreover, simultaneous multiunit recording allowed beginning to disclose the connections between central elements of the visual circuits. This work provides an entry point into studying the neural networks underlying the control of visually guided behaviors in the crab brain.