Publications - Theses

Mesoscopic physiological interactions in the human brain reveal small-world properties and associations with behavior. Jiarui Wang. Harvard University (2021). PDF

Efficient and insidious adversaries in deep reinforcement learning. Stephen Casper. Harvard University (2021). PDF

Context-robust object recognition via object manipulation in a synthetic 3D environment. Dimitar Karev. Harvard University (2021). PDF

Movies and Memory: How Film Editing Can Impact Episodic Memory Formation. Jake Schwencke. Harvard University (2021). PDF 

Combining neurophysiology and computational modeling through VGG19. Leonardo Pollina. Ecole Polytechnique Federale de Lausanne (EPFL)(2021). PDF 

Recognition of minimal images in the human brain. Aurelie Cordier. Ecole Nationale Superieure de Physique, Electronique, Materieux (2020). PDF

Plasticity and Firing Rate Dynamics in Leaky Integrate-and-Fire Models of Cortical Circuits. Joseph Olson. Harvard University (2019). PDF

Computational Models of Bottom-up and Top-down Attention. Mengmi Zhang. National University of Singapore (2019). PDF

Turing's Child Machine: A Deep Learning Model of Neural Development. Duncan Stothers. Harvard University (2019). PDF

Movement-Related Characteristics of Mirror Neuron Activity in Humans and Monkeys. Alice Motschi. Ecole Polytechnique Federale de Lausanne (EPFL) (2019). PDF

Human vision versus computer vision to classify simple actions. Vincent Jacquot. Ecole Polytechnique Federale de Lausanne (EPFL) (2019). PDF

Neural circuits of visual pattern completion. Matthias Tsai. Ecole Polytechnique Federale de Lausanne (EPFL) (2018). PDF

Learning Scene Gist to Improve Object Recognition in Convolutional Neural Networks. Kevin Wu. Department of Engineering and Applied Sciences, Harvard University, (2018). PDF

Spike-field coherence reveals complex cortical interactions in human visual memory task. University of Amsterdam (2018). PDF

Twenty-Four Hours in the Human Brain. Eleonora Iaselli. Ecole Polytechnique Federale de Lausanne (EPFL) (2018). PDF

Prediction as a Rule for Unsupervised Learning in Deep Neural Networks. William Lotter. Harvard University (2017). PDF

Behavioral and computational study on the recognition of novel occluded objects. Charlotte Moerman. Ecole Polytechnique Federale de Lausanne (EPFL) (2017). PDF

The Volitional (In)significance of Neuroscience: What Libetian Investigations Can and Cannot Do for Free Will. Garrett Lam.Harvard University (2016). PDF

Brain-inspired Recurrent Neural Algorithms for Advanced Object Recognition. Martin Schrimpf. Tehnische Universitat Munchen (2016). PDF

Quantifying episodic memories from real-world experience. Alyssa Marconi. Emmanuel College, (2016). PDF

Role of recurrent computations in object completion. Hanlin Tang. Program in Biophysics, Harvard University (2015). PDF

Predicting episodic memories for movie events. Sarah Dowcett. Emmanuel College, (2015). PDF

The functional neuroanatomy of speech perception. Philipp Kunhnke. University of Osnabruk, Germany, (2014). PDF

On the neuronal activity in the human brain during visual recognition, imagery and binocular rivalry. Gabriel Kreiman. Department of Biology, California Institute of Technology (2001). ABSTRACT PDF

Neural coding and feature extraction of time varying signals. Gabriel Kreiman. Computation and Neural Systems Program, California Institute of Technology (2001). ABSTRACT PDF