Display Abstract

Title Weakly electric fish information processing analyzed through close-loop code-driven stimulation

Name Angel Lareo
Country Spain
Email angel.lareo@estudiante.uam.es
Co-Author(s) Pablo Varona, Francisco B. Rodriguez
Submit Time 2014-03-25 15:34:45
Session
Special Session 77: Theoretical, technical, and experimental challenges in closed-loop approaches in biology
Contents
Activity-dependent stimulation techniques in Neuroscience have been implemented through the concept of dynamic clamp in electro-physiological experiments. The same generic principles underlying the dynamic-clamp technique can be used to develop novel protocols to study information processing in the context of electro-communication of weakly electric fish. Specifically, here we address the use of these protocols in the elephant fish, Gnathonemus petersii, an animal that uses a weak electric field to locate obstacles or food while navigating, as well as for electro-communication with other fishes. To investigate the electrical coding in this fish, we use an adaptive electrical stimulation as a function of the animal's electrical activity. To map this electrical activity to a time series of events, we represent the recorded electrical signal as a binary string. Then we take data words of predetermined length to define information events by considering the correlation between consecutive pulses. From the information analysis, we chose a representative word to trigger the stimulation delivered in the close-loop. We compare the electrical activity generated by Gnathonemus petersii during the closed-loop stimulation protocol versus a random stimulation. Finally, we discuss how this comparison can serve to understand the underlying information processing.