1 code implementation • 28 Nov 2023 • Stefan Schrod, Fabian Sinz, Michael Altenbuchinger
The development of causal prediction models is challenged by the fact that the outcome is only observable for the applied (factual) intervention and not for its alternatives (the so-called counterfactuals); in medicine we only know patients' survival for the administered drug and not for other therapeutic options.
no code implementations • 11 Aug 2023 • Nan Wu, Isabel Valera, Fabian Sinz, Alexander Ecker, Thomas Euler, Yongrong Qiu
While deep neural network models have demonstrated excellent power on neural prediction, they usually do not provide the uncertainty of the resulting neural representations and derived statistics, such as the stimuli driving neurons optimally, from in silico experiments.
1 code implementation • NeurIPS 2021 • Mohammad Bashiri, Edgar Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas Tolias, Fabian Sinz
We present a joint deep neural system identification model for two major sources of neural variability: stimulus-driven and stimulus-conditioned fluctuations.
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.
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.
no code implementations • NeurIPS 2013 • Fabian Sinz, Anna Stockl, Jan Grewe, Jan Benda
We present a novel non-parametric method for finding a subspace of stimulus features that contains all information about the response of a system.