ProjektIARPA-MICrONS: "Reverse Engineering Neocortical Intelligence" - Phase3
Grunddaten
Titel:
IARPA-MICrONS: "Reverse Engineering Neocortical Intelligence" - Phase3
Laufzeit:
15.07.2019 bis 14.01.2021
Abstract / Kurz- beschreibung:
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.
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.
Schlüsselwörter:
Neurowissenschaftlich
inspiriertes Machine Learning
Beteiligte Mitarbeiter/innen
Leiter/innen
Mathematisch-Naturwissenschaftliche Fakultät
Universität Tübingen
Universität Tübingen
Institut für Theoretische Physik (ITP)
Fachbereich Physik, Mathematisch-Naturwissenschaftliche Fakultät
Fachbereich Physik, Mathematisch-Naturwissenschaftliche Fakultät
Lokale Einrichtungen
Institut für Theoretische Physik (ITP)
Fachbereich Physik
Mathematisch-Naturwissenschaftliche Fakultät
Mathematisch-Naturwissenschaftliche Fakultät
Geldgeber
Houston, Texas, Vereinigte Staaten