Conference Paper

The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats

g.tec - Guger Technol. OG, Schiedlberg, Austria
DOI: 10.1109/CCMB.2011.5952121 Conference: Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on
Source: IEEE Xplore

ABSTRACT In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for developing Brain Computer Interfaces (BCI), the present solution offers tools for data preprocessing, analysis and visualization even in the case of high sampling rates and furthermore tools for precise cognitive stimulation. One application of the system, the analysis of multi-unit activity measured from the brain of a rat is presented to prove the efficiency of the proposed environment. The experimental setup was used to design and implement a biomimetic, biohybrid model for demonstrating the recovery of a learning function lost with age. Throughout the paper we discuss the components of the setup, the software structure and the online visualization. At the end we present results of a real-time experiment in which the model of the brain learned to react to the acquired signals.

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    • "The system under evaluation (Figure 1) implements a real-time model of cerebellar learning that is driven by signals recorded directly from the PN and IO, detecting CS and US events from these recording channels, respectively. The output of the neuroprosthetic system is linked to a microstimulator targeting the facial nucleus (FN), where proper stimulation would evoke well-timed CRs, with latencies matched to the biological circuit being replaced (see Prueckl et al., 2011a for specifics on the physiology of this experiment). Since in our preparation, the acquisition of natural CRs is precluded by anesthesia, any overt CRs observed in the experiment are the result from associative learning occurring solely within the synthetic system. "
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