Learning in ex-vivo developing networks of cortical neurons.
This contribution describes the use of multi-site interaction with large cortical networks in the study of learning. The general physiological properties of the network are described, and the concept of learning is mapped to the experimental network preparation. Learning is then analyzed in terms of exploration (defined as changes in the configuration of associations within the biological network) and recognition (the stabilization of "worthy" associations).
Marom
Shimon
S
Department of Physiology and Biophysics, Faculty of Medicine, Technion--Israel Institute of Technology, Haifa, 32000, Israel. marom@technion.ac.il
Eytan
Danny
D
D000818:Animals; D002540:Cerebral Cortex / Q000166:cytology / Q000254:growth & development / Q000502:physiology*; D007858:Learning / Q000502:physiology*; D009415:Nerve Net / Q000166:cytology / Q000254:growth & development / Q000502:physiology*; D009474:Neurons / Q000502:physiology*