Search Results for author: Andreas Tolias

Found 7 papers, 4 papers with code

Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses

no code implementations NeurIPS 2020 Ronald (James) Cotton, Fabian Sinz, Andreas Tolias

We overcome this limitation by formulating the problem as $K$-shot prediction to directly infer a neuron's tuning function from a small set of stimulus-response pairs using a Neural Process.

How well do deep neural networks trained on object recognition characterize the mouse visual system?

no code implementations NeurIPS Workshop Neuro_AI 2019 Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge, Andreas Tolias, Alexander S. Ecker

Recent work on modeling neural responses in the primate visual system has benefited from deep neural networks trained on large-scale object recognition, and found a hierarchical correspondence between layers of the artificial neural network and brain areas along the ventral visual stream.

Object Recognition

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video

1 code implementation NeurIPS 2018 Fabian Sinz, Alexander S. Ecker, Paul Fahey, Edgar Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Zachary Pitkow, Jacob Reimer, Andreas Tolias

However, in many cases this approach requires that the model is able to generalize to stimulus statistics that it was not trained on, such as band-limited noise and other parameterized stimuli.

Pupil Dilation

Supervised learning sets benchmark for robust spike detection from calcium imaging signals

no code implementations28 Feb 2015 Lucas Theis, Philipp Berens, Emmanouil Froudarakis, Jacob Reimer, Miroslav Román Rosón, Tom Baden, Thomas Euler, Andreas Tolias, Matthias Bethge

A fundamental challenge in calcium imaging has been to infer the timing of action potentials from the measured noisy calcium fluorescence traces.

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