Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences von Ponce, Carlos R., Xiao, Will, Schade, Peter F., Hartmann, Till S., Kreiman, Gabriel, Livingstone, Margaret S.

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Two Types of Receptive Field Dynamics in Area V4 at the Time of Eye Movements? von Hartmann, Till S, Zirnsak, Marc, Marquis, Michael, Hamker, Fred H, Moore, Tirin

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Motion detection based on recurrent network dynamics von Joukes, Jeroen, Hartmann, Till S, Krekelberg, Bart

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Informing Machine Perception With Psychophysics von Dulay, Justin, Poltoratski, Sonia, Hartmann, Till S., Anthony, Samuel E., Scheirer, Walter J.

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End-Stopping Predicts Curvature Tuning along the Ventral Stream von Ponce, Carlos R, Hartmann, Till S, Livingstone, Margaret S

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End-Stopping Predicts Curvature Tuning along the Ventral Stream von Ponce, Carlos R, Hartmann, Till S, Livingstone, Margaret S

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Cortical magnification plus cortical plasticity equals vision? von Born, Richard T., Trott, Alexander R., Hartmann, Till S.

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Receptive field positions in area MT during slow eye movements von Hartmann, Till S, Bremmer, Frank, Albright, Thomas D, Krekelberg, Bart

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Perisaccadic response properties of MT neurons von Hartmann, T. S., Bremmer, F., Krekelberg, B.

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Seeing in the dark with recurrent convolutional neural networks von Hartmann, Till S

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Guiding Machine Perception with Psychophysics von Dulay, Justin, Poltoratski, Sonia, Hartmann, Till S, Anthony, Samuel E, Scheirer, Walter J

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SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES von ANTHONY, Samuel, English, HARTMANN, Till, S, ZAREMBA, Jeffrey, D

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Scenario identification for validation and training of machine learning based models for autonomous vehicles von Hartmann, Till S, Zaremba, Jeffrey D, Anthony, Samuel English

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Ground truth based metrics for evaluation of machine learning based models for predicting attributes of traffic entities for navigating autonomous vehicles von Hartmann, Till S, Zaremba, Jeffrey D, Anthony, Samuel English

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Seeing in the dark with recurrent convolutional neural networks von Hartmann, Till S

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SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES von ANTHONY, Samuel, English, HARTMANN, Till, S, ZAREMBA, Jeffrey, D

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TURN AWARE MACHINE LEARNING FOR TRAFFIC BEHAVIOR PREDICTION von HARTMANN, Till S, MAAT, Jacob Reinier, SYLVESTRE, Kevin W, ANTHONY, Samuel English, ROSE, Dylan James

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GROUND TRUTH BASED METRICS FOR EVALUATION OF MACHINE LEARNING BASED MODELS FOR PREDICTING ATTRIBUTES OF TRAFFIC ENTITIES FOR NAVIGATING AUTONOMOUS VEHICLES von Hartmann, Till S, Zaremba, Jeffrey D, Anthony, Samuel English

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SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES von Hartmann, Till S, Zaremba, Jeffrey D, Anthony, Samuel English

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TURN AWARE MACHINE LEARNING FOR TRAFFIC BEHAVIOR PREDICTION von HARTMANN, Till S, MAAT, Jacob Reinier, SYLVESTRE, Kevin W, ANTHONY, Samuel English, ROSE, Dylan James

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