All Publications
2017
“Invariant recognition drives neural representations of action sequences”, PLoS Comp. Bio, 2017. ,
CBMM Funded
“Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex”, Nature Scientific Reports, 2017.
srep40211.pdf (2.53 MB) ,
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CBMM Related
“Modeling brain dynamics using mathematics from quantum mechanics”, Peter Chin's Lab, Boston University, vol. Boston University. 2017. ,
CBMM Related
“Auditory Perception of Material and Force from Impact Sounds”, Annual Meeting of Association for Research in Otolaryngology. 2017. ,
CBMM Related
“A library of real-world reverberation and a toolbox for its analysis and measurement”, Annual Meeting of Acoustical Society of America. 2017. ,
CBMM Related
“Investigating audition with a generative model of impact sounds”, Annual Meeting of Acoustical Society of America. 2017. ,
CBMM Related
“Human Learning in Atari”, in AAAI Spring Symposium Series, 2017.
Tsividis et al - Human Learning in Atari.pdf (844.47 KB) ,
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CBMM Funded
“Critical Cues in Early Physical Reasoning”, SRCD. Austin, TX, 2017. ,
CBMM Funded
“Thalamic contribution to CA1-mPFC interactions during sleep”, Society for Neuroscience's Annual Meeting - SfN 2017. Washington, DC, 2017.
AbstractSFNfinal.docx (13.14 KB) ,
![application/vnd.openxmlformats-officedocument.wordprocessingml.document File](/modules/file/icons/x-office-document.png)
CBMM Related
“One- to Four-year-olds’ Ability to Connect Diverse Positive Emotional Expressions to Their Probable Causes ”, Society for Research in Child Development. 2017. ,
CBMM Funded
“Causal and compositional generative models in online perception”, in 39th Annual Conference of the Cognitive Science Society, London, UK, 2017.
yildirim_janner_2_1.pdf (6.88 MB) ,
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CBMM Funded
“Recognition of occluded objects”, in Computational and Cognitive Neuroscience of Vision, Springer Singapore, 2017. ,
CBMM Funded
2016
“Unsupervised Learning of Visual Structure using Predictive Generative Networks”, in International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2016. ,
CBMM Funded
“To What Extent Does Global Shape Influence Category Representation in the Brain?”, Journal of Neuroscience, vol. 36, no. 15, pp. 4149 - 4151, 2016. ,
CBMM Related
“A Review of Relational Machine Learning for Knowledge Graphs”, Proceedings of the IEEE, vol. 104, no. 1, pp. 11 - 33, 2016.
1503.00759v3.pdf (1.53 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“How Important Is Weight Symmetry in Backpropagation?”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.
liao-leibo-poggio.pdf (191.91 KB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Mechanisms of color perception and cognition covered by #thedress”, VSS 2016, vol. 16, no. 12. p. 746, 2016. ,
CBMM Related
“Mechanisms of color perception and cognition covered by# thedress”, VSS 2016, vol. 16, no. 12. Journal of Vision, pp. 746-746, 2016. ,
CBMM Related
“When Does Model-Based Control Pay Off?”, PLoS Comput Biol, vol. 12, no. 8, p. e1005090, 2016.
KoolEtAl_PLOS_CB.PDF (5.85 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Integrating Identification and Perception: A case study of familiar and unfamiliar face processing”, in Proceedings of the Thirty-Eight Annual Conference of the Cognitive Science Society, 2016.
allen_5_13.pdf (2.13 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Related
“Deep Leaning: Mathematics and Neuroscience”, A Sponsored Supplement to Science, vol. Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, pp. 9-12, 2016. ,
CBMM Funded
“The Trolley Problem [Edge.com]”. Edge.com, 2016.
The Trolley Problem.pdf (343.3 KB) ,
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CBMM Memo No.
059
“Measuring and modeling the perception of natural and unconstrained gaze in humans and machines”. 2016.
CBMM-Memo-059.pdf (1.71 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
CBMM Memo No.
058
“Theory I: Why and When Can Deep Networks Avoid the Curse of Dimensionality?”. 2016.
CBMM-Memo-058v1.pdf (2.42 MB)
CBMM-Memo-058v5.pdf (2.45 MB)
CBMM-Memo-058-v6.pdf (2.74 MB)
Proposition 4 has been deleted (2.75 MB) ,
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CBMM Funded
“Recognizing and Interpreting Social Interactions in Local Image Regions”, The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA. 2016. ,
CBMM Funded