CBMM Investigator Dr. Gabriel Kreiman’s research is the focus of a new MIT Technology Review article Read more about CBMM Investigator Dr. Gabriel Kreiman’s research is the focus of a new MIT Technology Review article
CBMM Investigator, Ed Boyden’s newest research: Illuminating neuron activity in 3-D Read more about CBMM Investigator, Ed Boyden’s newest research: Illuminating neuron activity in 3-D
The Neural Decoding Toolbox Meyers, E. The Neural Decoding Toolbox. (2013). at <http://www.readout.info/> Read more about The Neural Decoding ToolboxGoogle Scholar
Predicting Saliency Beyond Pixels Xu, J., Jiang, M., Wang, S., Kankanhalli, M. & Zhao, Q. Predicting Saliency Beyond Pixels. (2014). at <http://www.ece.nus.edu.sg/stfpage/eleqiz/predicting.html> Read more about Predicting Saliency Beyond PixelsGoogle Scholar
The dynamics of invariant object recognition in the human visual system. Isik, L., Meyers, E., Leibo, J. Z. & Poggio, T. The dynamics of invariant object recognition in the human visual system. J Neurophysiol 111, 91-102 (2014). Read more about The dynamics of invariant object recognition in the human visual system.Google ScholarPubMedDOI
Unsupervised Learning of Invariant Representations in Hierarchical Architectures. Anselmi, F. et al. Unsupervised Learning of Invariant Representations in Hierarchical Architectures. (2013). Read more about Unsupervised Learning of Invariant Representations in Hierarchical Architectures.Google Scholar
People, objects and interactions in movies Kreiman, G. People, objects and interactions in movies. (2014). Read more about People, objects and interactions in moviesGoogle Scholar
Object recognition data sets (iCub/IIT) Rosasco, L. Object recognition data sets (iCub/IIT). (2013). Read more about Object recognition data sets (iCub/IIT)Google Scholar
Subtasks of unconstrained face recognition Leibo, J. Z., Liao, Q. & Poggio, T. Subtasks of unconstrained face recognition. (2014). Read more about Subtasks of unconstrained face recognitionGoogle Scholar
