Publications - Theses

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 Polythechnique 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 of 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