All Publications
2017
“Causal learning from interventions and dynamics in continuous time”, Cognitive Science Conference. 2017. Bramley et al. - 2017 - Causal learning from interventions and dynamics in.pdf (1.78 MB) ,
CBMM Funded
“Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision”, in AAAI Spring Symposium Series, Science of Intelligence, 2017. paper.pdf (963.87 KB) ,
CBMM Funded
“Deciphering neural codes of memory during sleep”, Trends in Neurosciences, 2017. proof (2.98 MB) ,
CBMM Funded
“Markov transitions between attractor states in a recurrent neural network”, AAAI. 2017. aaai-abstract (1).pdf (357.72 KB) ,
CBMM Related
“Theoretical principles of multiscale spatiotemporal control of neuronal networks: a complex systems perspective”, 2017. StimComplexity.pdf (218.1 KB) ,
CBMM Related
“Design of the Artificial: lessons from the biological roots of general intelligence”, 2017. DesignArtificial_Dehghani_arXiv.pdf (222.47 KB) ,
CBMM Related
“Active Video Summarization: Customized Summaries via On-line Interaction.”, in AAAI Conference on Artificial Intelligence, 2017. 21-Garcia-del-Molino-14856.pdf (413.77 KB) ,
CBMM Related
“Spatial cognition across development”, in SRCD, Austin, TX, 2017. ,
CBMM Funded
“Young children's use of distance and angle information during map reading”, SRCD. Austin, TX, 2017. ,
CBMM Related
“Reinforcement learning and episodic memory in humans and animals: an integrative framework”, Annual Review of Psychology, vol. 68, 2017. GershmanDaw17.pdf (422.11 KB) ,
CBMM Funded
“Eye-Tracking Causality”, Psychological Science, 2017. eye_tracking_causality.pdf (8.04 MB) ,
CBMM Funded
“Size-Independent Sample Complexity of Neural Networks”, 2017. 1712.06541.pdf (278.77 KB) ,
CBMM Related
“On the Human Visual System Invariance to Translation and Scale”, Vision Sciences Society. 2017. ,
CBMM Funded
“Is the Human Visual System Invariant to Translation and Scale?”, in AAAI Spring Symposium Series, Science of Intelligence, 2017. ,
CBMM Funded
“Modeling emotion attributions as inference in an intuitive theory of mind.”, Mechanisms Underlying Emotion Regulation and Developmental Psychopathology. University of Wisconsin - Madison, 2017. ,
CBMM Funded
“What is changing when: Decoding visual information in movies from human intracranial recordings”, Neuroimage, 2017. ,
CBMM Funded
“Thinking fast or slow? A reinforcement-learning approach”, Society for Personality and Social Psychology. San Antonio, TX, 2017. KoolEtAl_SPSP_2017.pdf (670.35 KB) ,
CBMM Funded
“Attention Correctness in Neural Image Captioning”, in AAAI 2017, 2017. 1605.09553.pdf (2.22 MB) ,
CBMM Funded
“Ten-month-old infants infer value from effort”, SRCD. Austin, TX, 2017. ,
CBMM Funded
“Ten-month-old infants infer value from effort”, Society for Research in Child Development. 2017. ,
CBMM Funded
“Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning”, in ICLR, 2017. 1605.08104.pdf (2.9 MB) ,
CBMM Funded
“A Data Science approach to analyzing neural data”, in Joint Statistical Meetings, 2017. ,
CBMM Funded
“When and Why Are Deep Networks Better Than Shallow Ones?”, AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence. 2017. ,
CBMM Funded
“Learning Mid-Level Codes for Natural Sounds”, Association for Otolaryngology Mid-Winter Meeting. 2017. ,
CBMM Funded
“Lossy Compression of Uninformative Stimuli in the Auditory System”, Association for Otolaryngology Mid-Winter Meeting. 2017. ,
CBMM Funded