Publikation: Contextual regularity and complexity of neuronal activity : From stand-alone cultures to task-performing animals
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Precursors of the superior information processing capabilities of our cortex can most probably be traced back to simple invertebrate systems. Using a unique set of newly developed neuronal preparations and state‐of‐the‐art analysis tools, we show that insect neurons have the ability to self‐regulate the information capacity of their electrical activity. We characterize the activity of a distinct population of neurons under progressive levels of structural and functional constraints: self‐formed networks of neuron clusters in vitro; isolated ex vivo ganglions; in vivo task‐free, and in vivotask‐forced neuronal activity in the intact animal. We show common motifs and identify trends of increasing self‐regulated complexity. This important principle may have played a key role in the gradual transition from simple neuronal motor control to complex information processing.
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AYALI, Amir, Einat COUZIN-FUCHS, Yael ZILBERSTEIN, Anat ROBINSON, Orit SHEFI, Eyal HULATA, Itay BARUCHI, Eshel BEN-JACOB, 2004. Contextual regularity and complexity of neuronal activity : From stand-alone cultures to task-performing animals. In: Complexity. 2004, 9(6), pp. 25-32. ISSN 1076-2787. eISSN 1099-0526. Available under: doi: 10.1002/cplx.20046BibTex
@article{Ayali2004-07Conte-46907, year={2004}, doi={10.1002/cplx.20046}, title={Contextual regularity and complexity of neuronal activity : From stand-alone cultures to task-performing animals}, number={6}, volume={9}, issn={1076-2787}, journal={Complexity}, pages={25--32}, author={Ayali, Amir and Couzin-Fuchs, Einat and Zilberstein, Yael and Robinson, Anat and Shefi, Orit and Hulata, Eyal and Baruchi, Itay and Ben-Jacob, Eshel} }
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