LEADER 02342nam 2200469z- 450 001 9910166647303321 005 20210211 035 $a(CKB)3710000001092126 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50380 035 $a(oapen)doab50380 035 $a(EXLCZ)993710000001092126 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntegrating Computational and Neural Findings in Visual Object Perception 210 $cFrontiers Media SA$d2016 215 $a1 online resource (137 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-873-1 330 $aThe articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience. 606 $aNeurosciences$2bicssc 610 $acomputational neuroscience 610 $aComputer Vision 610 $aFeature representation 610 $afMRI 610 $ainvariance 610 $amultimodal data integration 610 $aneural networks 610 $aNeurophysiology 610 $aobject recognition 610 $aventral visual pathway 615 7$aNeurosciences 700 $aBeeck$b Hans Op de$f1975-,$4auth$01764568 702 $aPeters$b Judith C$4auth 702 $aGoebel$b Rainer$4auth 906 $aBOOK 912 $a9910166647303321 996 $aIntegrating computational and neural findings in visual object perception$94205371 997 $aUNINA