Fabian Sinz

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Full Professor for Machine Learning

University of Göttingen

Germany

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About

Fabian Sinz is a Full Professor for Machine Learning at Georg-August-Universität Göttingen, Germany. His research encompasses areas such as connectomics, computational neuroscience, and machine learning applications, as reflected in his recent articles. Notable contributions include studies on neural activity predictions, functional connectomics in mouse visual cortex, and automated tools for feature extraction in connectomics.

Recent Grants

Grant: Close

MBL scholarship

Open Date: 2013-01-01

Close Date: 2013-01-01

Grant: Close

PhD scholarship

Open Date: 2008-01-01

Close Date: 2011-01-01

Articles (14)

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2025

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2020

Collaborators (3)

Jan Grewe

Eberhard Karls Universität Tübingen

GERMANY

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Kayla Ponder

Baylor College of Medicine

UNITED STATES

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shalaka mulherkar

Assistant Professor

Washington University

UNITED STATES

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Fabian Sinz

Research Interests

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About

Recent Grants

Articles (14)

Foundation model of neural activity predicts response to new stimulus types

Functional connectomics reveals general wiring rule in mouse visual cortex

Functional connectomics spanning multiple areas of mouse visual cortex

NEURD offers automated proofreading and feature extraction for connectomics

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks

Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates

Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants

Probabilistic neural transfer function estimation with Bayesian system identification

Foundation model of neural activity predicts response to new stimulus types and anatomy

NEURD: automated proofreading and feature extraction for connectomics

State-dependent pupil dilation rapidly shifts visual feature selectivity

Simultaneous spike-time locking to multiple frequencies

Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex

Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging

Collaborators (3)

Jan Grewe

Kayla Ponder

shalaka mulherkar

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