Publication
] Mesoscopic physiological interactions in the human brain reveal small-world properties. Cell Reports 36, 109585 (2021).
A machine learning approach to predict episodic memory formation. 2016 Annual Conference on Information Science and Systems (CISS) 539 - 544 (2016). doi:10.1109/CISS.2016.7460560
Localized task-invariant emotional valence encoding revealed by intracranial recordingsAbstract. Social Cognitive and Affective Neuroscience (2021). doi:10.1093/scan/nsab134
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. arXiv | Cornell University arXiv:1803.01967, (2018).
Learning scene gist with convolutional neural networks to improve object recognition. 2018 52nd Annual Conference on Information Sciences and Systems (CISS) (2018). doi:10.1109/CISS.2018.8362305
08362305.pdf (3.17 MB)
08362305.pdf (3.17 MB) Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception. Science Advances 6, eabd4205 (2020). gk7967.pdf (3.07 MB)
gk7967.pdf (3.07 MB) Hypothesis-driven Online Video Stream Learning with Augmented Memory. arXiv (2021). doi:10.48550/arXiv.2104.02206 2104.02206.pdf (2.25 MB)
2104.02206.pdf (2.25 MB) Frivolous Units: Wider Networks Are Not Really That Wide. AAAI 2021 (2021). at <https://dblp.org/rec/conf/aaai/CasperBDGSVK21.html> 1912.04783.pdf (6.69 MB)
1912.04783.pdf (6.69 MB) Finding any Waldo with zero-shot invariant and efficient visual search. Nature Communications 9, (2018).
Face neurons encode nonsemantic features. Proceedings of the National Academy of Sciences 119, (2022).
Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences. Cell 177, 1009 (2019). Author's last draft (20.26 MB)
Author's last draft (20.26 MB) Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. Proceedings of the 39th International Conference on Machine Learning, PMLR 162, 4937-4955 (2022). dellaferrera22a.pdf (909.91 KB)
dellaferrera22a.pdf (909.91 KB) On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. arXiv (2022). doi:10.48550/arXiv.2201.03965 On_the_Efficacy_of_Co-Attention_Transformer_Layers.pdf (35.54 MB)
On_the_Efficacy_of_Co-Attention_Transformer_Layers.pdf (35.54 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
Development of automated interictal spike detector. 40th International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2018 (2018). at <https://embc.embs.org/2018/>
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (2017). 1605.08104.pdf (2.9 MB)
1605.08104.pdf (2.9 MB) Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. (2017). CBMM-Memo-064.pdf (3 MB)
CBMM-Memo-064.pdf (3 MB) 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) Single Neuron Studies of the Brain: Probing Cognition (2014).
Corticocortical feedback increases the spatial extent of normalization. Frontiers in Systems Neuroscience 8, 105 (2014).
Principles of neural coding (2013).
Cognitive boundary signals in the human medial temporal lobe shape episodic memory representation. bioRxiv (2021).