ProjectIARPA-MICrONS: "Reverse Engineering Neocortical Intelligence"

Basic data

IARPA-MICrONS: "Reverse Engineering Neocortical Intelligence"
15/07/2017 to 14/07/2019
Abstract / short description:
Given the expertise of the Bethge group - in computational neuroscience, machine learning, statistics, and the analyses of complex neural data including methods of pre-processing calcium data (e. g. spike inference) - the team will work on a number of problems/questions regarding the goals and deliverables of Technical Area 1 in coordination with Drs. Tolias (PI), Pitkow (Co-PI), Reimer (Project Manager) and Sinz (ML coordinator).
1) Use system identification and other statistical methods to analyze functional imaging data.
2) Help with analysis of combined functional and electron microscopy data.
3) Work on adversarial attacks to engineer robust visual architectures inspired by the brain.
4) Work on neuroscience-inspired unsupervised learning algorithms.
5) Help with pipeline analysis methods using machine learning.
Neurowissenschaftlich inspiriertes Machine Learning

Involved staff


Faculty of Science
University of Tübingen
Institute for Theoretical Physics (ITP)
Department of Physics, Faculty of Science
CRC 1233 - Robust Vision — Inference Principles and Neural Mechanisms
Collaborative research centers and transregios
Bernstein Center for Computational Neuroscience Tübingen (BCCN)
Interfaculty Institutes
Tübingen AI Center
Department of Informatics, Faculty of Science

Local organizational units

Institute for Theoretical Physics (ITP)
Department of Physics
Faculty of Science


Houston, Texas, United States

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