caa a22 4500 445352264 CHVBK 20180317142847.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s00221-011-2671-6 doi (NATIONALLICENCE)springer-10.1007/s00221-011-2671-6 Connectional parameters determine multisensory processing in a spiking network model of multisensory convergence [Elektronische Daten] [H. Lim, L. Keniston, J. Shin, B. Allman, M. Meredith, K. Cios] For the brain to synthesize information from different sensory modalities, connections from different sensory systems must converge onto individual neurons. However, despite being the definitive, first step in the multisensory process, little is known about multisensory convergence at the neuronal level. This lack of knowledge may be due to the difficulty for biological experiments to manipulate and test the connectional parameters that define convergence. Therefore, the present study used a computational network of spiking neurons to measure the influence of convergence from two separate projection areas on the responses of neurons in a convergent area. Systematic changes in the proportion of extrinsic projections, the proportion of intrinsic connections, or the amount of local inhibitory contacts affected the multisensory properties of neurons in the convergent area by influencing (1) the proportion of multisensory neurons generated, (2) the proportion of neurons that generate integrated multisensory responses, and (3) the magnitude of multisensory integration. These simulations provide insight into the connectional parameters of convergence that contribute to the generation of populations of multisensory neurons in different neural regions as well as indicate that the simple effect of multisensory convergence is sufficient to generate multisensory properties like those of biological multisensory neurons. Springer-Verlag, 2011 Computation nationallicence Simulation nationallicence Multisensory integration nationallicence Bimodal nationallicence Cross-modal nationallicence Association cortex nationallicence Lim H. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut Keniston L. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut Shin J. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut Allman B. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut Meredith M. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut Cios K. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut Experimental Brain Research Springer-Verlag 213/2-3(2011-09-01), 329-339 0014-4819 213:2-3<329 2011 213 221 https://doi.org/10.1007/s00221-011-2671-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-011-2671-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lim H. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut NATIONALLICENCE 700 1- Keniston L. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut NATIONALLICENCE 700 1- Shin J. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut NATIONALLICENCE 700 1- Allman B. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut NATIONALLICENCE 700 1- Meredith M. Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, PO Box 908709, Richmond, VA, USA aut NATIONALLICENCE 700 1- Cios K. Department of Computer Science, School of Engineering, Virginia Commonwealth University School of Medicine, Richmond, VA, USA aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 213/2-3(2011-09-01), 329-339 0014-4819 213:2-3<329 2011 213 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer