caa a22 4500 445352345 CHVBK 20180317142848.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s00221-011-2714-z doi (NATIONALLICENCE)springer-10.1007/s00221-011-2714-z A computational study of multisensory maturation in the superior colliculus (SC) [Elektronische Daten] [Cristiano Cuppini, Barry Stein, Benjamin Rowland, Elisa Magosso, Mauro Ursino] Multisensory neurons in cat SC exhibit significant postnatal maturation. The first multisensory neurons to appear have large receptive fields (RFs) and cannot integrate information across sensory modalities. During the first several months of postnatal life RFs contract, responses become more robust and neurons develop the capacity for multisensory integration. Recent data suggest that these changes depend on both sensory experience and active inputs from association cortex. Here, we extend a computational model we developed (Cuppini et al. in Front Integr Neurosci 22: 4-6, 2010) using a limited set of biologically realistic assumptions to describe how this maturational process might take place. The model assumes that during early life, cortical-SC synapses are present but not active and that responses are driven by non-cortical inputs with very large RFs. Sensory experience is modeled by a "training phase” in which the network is repeatedly exposed to modality-specific and cross-modal stimuli at different locations. Cortical-SC synaptic weights are modified during this period as a result of Hebbian rules of potentiation and depression. The result is that RFs are reduced in size and neurons become capable of responding in adult-like fashion to modality-specific and cross-modal stimuli. Supported by NIH grants NS036916 and EY016716. Springer-Verlag, 2011 Visual-acoustic neurons nationallicence Anterior ectosylvian sulcus nationallicence Enhancement nationallicence Hebb rule nationallicence Learning mechanisms nationallicence Inverse effectiveness principle nationallicence Neural network modeling nationallicence Cuppini Cristiano Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut Stein Barry Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, 27157, Winston-Salem, NC, USA aut Rowland Benjamin Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, 27157, Winston-Salem, NC, USA aut Magosso Elisa Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut Ursino Mauro Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut Experimental Brain Research Springer-Verlag 213/2-3(2011-09-01), 341-349 0014-4819 213:2-3<341 2011 213 221 https://doi.org/10.1007/s00221-011-2714-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-011-2714-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cuppini Cristiano Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut NATIONALLICENCE 700 1- Stein Barry Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, 27157, Winston-Salem, NC, USA aut NATIONALLICENCE 700 1- Rowland Benjamin Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, 27157, Winston-Salem, NC, USA aut NATIONALLICENCE 700 1- Magosso Elisa Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut NATIONALLICENCE 700 1- Ursino Mauro Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 213/2-3(2011-09-01), 341-349 0014-4819 213:2-3<341 2011 213 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer