Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
Connecting neurons to a mobile robot: an in vitro bidirectional neural interface
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Quantitative estimation of the nonstationary behavior of neural spontaneous activity
Computational Intelligence and Neuroscience - Special issue on signal processing for neural spike trains
Experiments with an in-vitro robot brain
Computing with instinct
3D Virtual worlds and the metaverse: Current status and future possibilities
ACM Computing Surveys (CSUR)
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We report on an experiment in which a population of rat cortical neurons, cultured on a micro-electrode array, was connected bi-directionally to a mobile robot. Bi-directional communication between a neural population and an external device requires to translate time-varying signals into spatio-temporal patterns of neural activity, and back. Here, we describe the experimental setup and the computational modules of the neural interface, and work on characterization of the 'transfer function' of the neural preparation, as it emerges from closed-loop experiments, and selection of stimulation and recording sites which are best compatible with a desired behavior.