Publication
] Dynamic balance of excitation and inhibition in human and monkey neocortex. Nature Scientific Reports (2016). doi:10.1038/srep23176
BalanceExcitationInhibition.pdf (2.1 MB)
BalanceExcitationInhibition.pdf (2.1 MB) Do computational models of vision need shape-based representations? Evidence from an individual with intriguing visual perceptions. Cognitive Neuropsychology 1 - 3 (2022). doi:10.1080/02643294.2022.2041588
Divergence in the functional organization of human and macaque auditory cortex revealed by fMRI responses to harmonic tones. Nature Neuroscience (2019). doi:10.1038/s41593-019-0410-7
Dissociating language and thought in large language models. Trends in Cognitive Sciences 28, 517 - 540 (2024).
Dissociable neuronal substrates of visual feature attention and working memory. Neuron 112, 850 - 863.e6 (2024).
Discovery and usage of joint attention in images. arXiv.org (2018). at <https://arxiv.org/abs/1804.04604> 1804.04604v1.pdf (488.85 KB)
1804.04604v1.pdf (488.85 KB) Discovering hierarchical motion structure. Vision Research Available online 26 March 2015, (2015). hierarchical_motion.pdf (582.01 KB)
hierarchical_motion.pdf (582.01 KB) Differential Processing of Isolated Object and Multi-item Pop-Out Displays in LIP and PFC. Cerebral Cortex (2017). doi:10.1093/cercor/bhx243
Design of the Artificial: lessons from the biological roots of general intelligence. (2017). at <https://arxiv.org/pdf/1703.02245> DesignArtificial_Dehghani_arXiv.pdf (222.47 KB)
DesignArtificial_Dehghani_arXiv.pdf (222.47 KB) Deep vs. shallow networks: An approximation theory perspective. Analysis and Applications 14, 829 - 848 (2016).
Deep video-to-video transformations for accessibility with an application to photosensitivity. Pattern Recognition Letters (2019). doi:10.1016/j.patrec.2019.01.019
Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception. Nature Communications 12, (2021). s41467-021-27366-6.pdf (5.25 MB)
s41467-021-27366-6.pdf (5.25 MB) Deep neural network models of sound localization reveal how perception is adapted to real-world environments. Nature Human Behavior 6, 111–133 (2022). s41562-021-01244-z.pdf (7.22 MB)
s41562-021-01244-z.pdf (7.22 MB) Deep neural network models of sensory systems: windows onto the role of task constraints. Current Opinion in Neurobiology 55, 121 - 132 (2019).
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. IEEE Signal Processing Magazine 38, 89 - 119 (2021).
Deep Leaning: Mathematics and Neuroscience. A Sponsored Supplement to Science Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, 9-12 (2016).
A Dedicated Network for Social Interaction Processing in the Primate Brain. Science Vol. 356, pp. 745-749 (2017).
Decrease in gamma-band activity tracks sequence learning. Frontiers in Systems Neuroscience 8, (2015). fnsys-08-00222.pdf (5.62 MB)
fnsys-08-00222.pdf (5.62 MB) Decoding task and stimulus representations in face-responsive cortex. Cognitive Neuropsychology (2016).
Decoding of human identity by computer vision and neuronal visionAbstract. Scientific Reports 13, (2023).
Decoding of human identity by computer vision and neuronal vision. Scientific Reports 13, (2023). s41598-022-26946-w.pdf (1.88 MB)
s41598-022-26946-w.pdf (1.88 MB) Dangerous Ground: One-Year-Old Infants are Sensitive to Peril in Other Agents’ Action PlansAbstract. Open Mind 6, 211 - 231 (2022).