Publication
] The Neural Decoding Toolbox. (2013). at <http://www.readout.info/>
The dynamics of invariant object recognition in the human visual system. J Neurophysiol 111, 91-102 (2014).
The dynamics of invariant object recognition in the human visual system. (2014). doi:http://dx.doi.org/10.7910/DVN/KRUPXZ
How PFC and LIP process single and multiple-object ‘pop-out’ displays. Society for Neuroscience (2015). at <https://www.sfn.org/~/media/SfN/Documents/Annual%20Meeting/FinalProgram/NS2015/Full%20Abstract%20PDFs%202015/SfN15_Abstracts_PDF_Nanos.ashx>
Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System. The Journal of Neuroscience 35, (2015).
New Data Science tools for analyzing neural data and computational models. Society for Neuroscience (2016).
Review of the CBMM workshop on the Turing++ Question: 'who is there?'. (2016).
Review of the CBMM workshop on the Turing++ Question- 'who is there?' .pdf (555.71 KB)
Review of the CBMM workshop on the Turing++ Question- 'who is there?' .pdf (555.71 KB) Turing++ Questions: A Test for the Science of (Human) Intelligence. AI Magazine 37 , 73-77 (2016). Turing_Plus_Questions.pdf (424.91 KB)
Turing_Plus_Questions.pdf (424.91 KB) A Data Science approach to analyzing neural data. Joint Statistical Meetings (2017).
Differences in dynamic and static coding within different subdivision of the prefrontal cortex. Society for Neuroscience's Annual Meeting - SfN 2017 (2017). at <http://www.abstractsonline.com/pp8/#!/4376/presentation/4782>
Differential Processing of Isolated Object and Multi-item Pop-Out Displays in LIP and PFC. Cerebral Cortex (2017). doi:10.1093/cercor/bhx243
Brain-Observatory-Toolbox. (2018).
Dynamic population coding and its relationship to working memory. Journal of Neurophysiology 120, 2260 - 2268 (2018).