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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access Poster presentation

Neural coding tools, based on Information Theory, applied to discrete time series: from electrophysiology to neuroethology

Caroline Garcia Forlim1*, Ludmila Brochini Rodrigues1 and Reynaldo Daniel Pinto2

Author Affiliations

1 Instituto de Física, Universidade de São Paulo,São Paulo 05508-090 SP, Brazil

2 Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos 13560-970 SP, Brazil

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BMC Neuroscience 2011, 12(Suppl 1):P253  doi:10.1186/1471-2202-12-S1-P253

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/12/S1/P253


Published:18 July 2011

© 2011 Forlim et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Poster presentation

We developed a method based on Information Theory [1] to the analysis of discrete time series applied to spike and pulse sequences in two different systems: Central Pattern Generator (CPG) motor neurons in the crustacean stomatogastric ganglion (biological and model neurons) and electrocommunication in weakly electric fish interacting with an artificial fish.

CPG motor neurons [4][5] in the nervous systems are responsible for the mechanical digestion flow of fluids from the stomach to the intestines. They present an extensive dynamic repertoire due to a large variety of ion channels and modulation mechanisms. The rhythm and the average discharge frequency of these neurons must be constant to ensure a proper muscular contraction, nevertheless there are patterns associated to a very detailed inter spike distributions in which muscular contraction do not take part [3]. What are these patterns for? Experiments were performed in a pair of pyloric CPG neurons with simultaneously intracellular recordings, both in control condition (intact CPG) and with a hybrid network where one neuron was replaced by a computational model (real time interface). Information theoretical analysis showed that a motor neuron is able to express information encoded in spike intervals (ISIs) from another one (both biological and artificial neuron) in a very fine time scale.

Weakly electric fish provide a wonderful opportunity to study and interact with a living intact nervous systems. Their electrical organ discharges (EODs) are not only complex signals that belong to the processing of environmental sensory information by the nervous system but they are also easy-to-detect. Each EOD generates an electric field that reaches a myriad of electroreceptors disposed to detect small changes in the cutaneous electric field. With this apparatus the weakly electric fishes are able to detect objects as well as social electrocommunication[2]. Using non invasive techniques in a freely moving fish we were able to record its organ electric discharges (EODs) for long periods (~ hours). Electrocommunication experiments were performed, in which electric stimuli sequences, mimicking the fish EODs, were sent to a measurement tank via artificial fish, both in real time and previously recorded sequences. Analysis using Information Theory tools revealed that the stimuli sequences play a significant role in the fish response.

Acknowledgements

This work is supported by Brazilian agencies Fapesp, CAPES and CNPq

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