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Empirical Inference Poster Koopman Spectral Analysis Uncovers the Temporal Structure of Spontaneous Neural Events Shao, K., Xu, Y., Logothetis, N., Shen, Z., Besserve, M. Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (Published) URL BibTeX
Empirical Inference Poster LFP transient events in macaque subcortical areas reveal network coordination across scales and structures: a simultaneous fMRI-electrophysiology study Besserve, M., Safavi, S., Schölkopf, B., Logothetis, N. Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (Published) URL BibTeX
Social Foundations of Computation Poster Do Personality Tests Generalize to Large Language Models Dorner, F. E., Sühr, T., Samadi, S., Kelava, A. Socially Responsible Language Modelling Research (SoLaR) Workshop, The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), December 2023, *equal contribution (Published)
With large language models (LLMs) appearing to behave increasingly human-like in text-based interactions, it has become popular to attempt to evaluate various properties of these models using tests originally designed for humans. While re-using existing tests is a resource-efficient way to evaluate LLMs, careful adjustments are usually required to ensure that test results are even valid across human sub-populations. Thus, it is not clear to what extent different tests’ validity generalizes to LLMs. In this work, we provide evidence that LLMs’ responses to personality tests systematically deviate from typical human responses, implying that these results cannot be interpreted in the same way as human test results. Concretely, reverse-coded items (e.g. “I am introverted” vs “I am extraverted”) are often both answered affirmatively by LLMs. In addition, variation across different prompts designed to “steer” LLMs to simulate particular personality types does not follow the clear separation into five independent personality factors from human samples. In light of these results, we believe it is important to pay more attention to tests’ validity for LLMs before drawing strong conclusions about potentially ill-defined concepts like LLMs’ “personality”.
URL BibTeX
Rationality Enhancement Poster Promoting metacognitive learning through systematic reflection Frederic Becker, , Lieder, F. The first edition of Life Improvement Science Conference, June 2021 (Published)
Human decision-making is sometimes systematically biased toward suboptimal decisions. For example, people often make short-sighted choices because they don't give enough weight to the long-term consequences of their actions. Previous studies showed that it is possible to overcome such biases by teaching people a more rational decision strategy through instruction, demonstrations, or practice with feedback. The benefits of these approaches tend to be limited to situations that are very similar to those used during the training. One way to overcome this limitation is to create general tools and strategies that people can use to improve their decision-making in any situation. Here we propose one such approach, namely directing people to systematically reflect on how they make their decisions. In systematic reflection, past experience is re-evaluated with the intention to learn. In this study, we investigate how reflection affects how people learn to plan and whether reflective learning can help people to discover more far-sighted planning strategies. In our experiment participants solve a series of 30 planning problems where the immediate rewards are smaller and therefore less important than long-term rewards. Building on Wolfbauer et al. (2020), the experimental group is guided by four reflection prompts asking the participant to describe their planning strategy, the strategy's performance, and his or her emotional response, insights, and intention to change their strategy. The control group practices planning without reflection prompts. Our pilot data suggest that systematic reflection helps people to more rapidly discover adaptive planning strategies. Our findings suggest that reflection is useful not only for helping people learn what to do in a specific situation but also for helping people learn how to think about what to do. In future work, we will compare the effects of different types of reflection on the subsequent changes in people's decision strategies. Developing apps that prompt people to reflect on their decisions may be a promising approach to accelerating cognitive growth and promoting lifelong learning.
BibTeX
Dynamic Locomotion Poster Towards Hybrid Active and Passive Compliant Mechanisms in Legged Robots Milad Shafiee Ashtiani, A. A. S., Badri-Sproewitz, A. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, October 2020 (Accepted) Abstract Poster BibTeX
Dynamic Locomotion Poster How Quadrupeds Benefit from Lower Leg Passive Elasticity Ruppert, F., Badri-Spröwitz, A. Dynamic Walking, May 2020
Recently developed and fully actuated, legged robots start showing exciting locomotion capabilities, but rely heavily on high-power actuators, high-frequency sensors, and complex locomotion controllers. The engineering solutions implemented in these legged robots are much different compared to animals. Vertebrate animals share magnitudes slower neurocontrol signal velocities [1] compared to their robot counterparts. Also, animals feature a plethora of cascaded and underactuated passive elastic structures [2].
Abstract Poster URL BibTeX
Dynamic Locomotion Poster VP above or below? A new perspective on the story of the virtual point Drama, Ö., Badri-Spröwitz, A. Dynamic Walking, May 2020
The spring inverted pendulum model with an extended trunk (TSLIP) is widely used to investigate the postural stability in bipedal locomotion [1, 2]. The challenge of the model is to define a hip torque that generates feasible gait patterns while stabilizing the floating trunk. The virtual point (VP) method is proposed as a simplified solution, where the hip torque is coupled to the passive compliant leg force via a virtual point. This geometric coupling is based on the assumption that the instantaneous ground reaction forces of the stance phase (GRF) intersect at a single virtual point.
Poster Abstract URL BibTeX
Dynamic Locomotion Poster Viscous Damping in Legged Locomotion Mo, A., Izzi, F., Haeufle, D. F. B., Badri-Spröwitz, A. Dynamic Walking, May 2020
Damping likely plays an essential role in legged animal locomotion, but remains an insufficiently understood mechanism. Intrinsic damping muscle forces can potentially add to the joint torque output during unexpected impacts, stabilise movements, convert the system’s energy, and reject unexpected perturbations.
Abstract Poster URL BibTeX
Dynamic Locomotion Poster Potential for elastic soft tissue deformation and mechanosensory function within the lumbosacral spinal canal of birds Kamska, V., Daley, M., Badri-Spröwitz, A. Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2020), January 2020 DOI BibTeX
Empirical Inference Poster Perception of temporal dependencies in autoregressive motion Meding, K., Schölkopf, B., Wichmann, F. A. Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (Published) URL BibTeX
Empirical Inference Poster Phenomenal Causality and Sensory Realism Bruijns, S. A., Meding, K., Schölkopf, B., Wichmann, F. A. Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (Published) URL BibTeX
Empirical Inference Poster Neural mass modeling of the Ponto-Geniculo-Occipital wave and its neuromodulation Shao, K., Logothetis, N., Besserve, M. 28th Annual Computational Neuroscience Meeting (CNS*2019), July 2019 (Published) DOI BibTeX
Intelligent Control Systems Poster Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M. Proceedings of the 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 340-341, 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 2019 (Published) arXiv PDF DOI BibTeX
Intelligent Control Systems Poster Poster Abstract: Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks Mager, F., Baumann, D., Trimpe, S., Zimmerling, M. Proceedings of the 17th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 158-159, Porto, Portugal, April 2018 (Published) DOI BibTeX
Empirical Inference Poster Representation of sensory uncertainty in macaque visual cortex Goris, R., Henaff, O., Meding, K. Computational and Systems Neuroscience (COSYNE), March 2018 (Published) BibTeX
Empirical Inference Poster Generalized phase locking analysis of electrophysiology data Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. 7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (Published) URL BibTeX
Empirical Inference Poster Photorealistic Video Super Resolution Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (Published) BibTeX
Empirical Inference Poster Retinal image quality of the human eye across the visual field Meding, K., Hirsch, M., Wichmann, F. A. 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (Published) BibTeX
Empirical Inference Poster Improving performance of linear field generation with multi-coil setup by optimizing coils position Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K. Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2017), October 2017 (Published) DOI URL BibTeX
Empirical Inference Poster Estimating B0 inhomogeneities with projection FID navigator readouts Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), April 2017 (Published) URL BibTeX
Empirical Inference Poster Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2* Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J. 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), April 2017 (Published) URL BibTeX
Empirical Inference Poster Generalized phase locking analysis of electrophysiology data Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (Published) BibTeX
Empirical Inference Poster Autofocusing-based correction of B0 fluctuation-induced ghosting Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016), May 2016 (Published) URL BibTeX
Autonomous Motion Poster Distinct adaptation to abrupt and gradual torque perturbations with a multi-joint exoskeleton robot Oh, Y., Sutanto, G., Mistry, M., Schweighofer, N., Schaal, S. Abstracts of Neural Control of Movement Conference (NCM 2016), Montego Bay, Jamaica, April 2016 BibTeX
Empirical Inference Poster PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation Logothetis, N. K., Murayama, Y., Ramirez-Villegas, J. F., Besserve, M., Evrard, H. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 BibTeX
Empirical Inference Poster Hippocampal neural events predict ongoing brain-wide BOLD activity Besserve, M., Logothetis, N. K. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 BibTeX
Empirical Inference Poster Statistical source separation of rhythmic LFP patterns during sharp wave ripples in the macaque hippocampus Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 BibTeX
Empirical Inference Poster Diversity of sharp wave-ripples in the CA1 of the macaque hippocampus and their brain wide signatures Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), October 2015 (Published) URL BibTeX
Empirical Inference Poster Improving Quantitative Susceptibility and R2* Mapping by Applying Retrospective Motion Correction Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J. R. 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (Published) BibTeX
Empirical Inference Poster Retrospective rigid motion correction of undersampled MRI data Loktyushin, A., Babayeva, M., Gallichan, D., Krueger, G., Scheffler, K., Kober, T. 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (Published) BibTeX
Empirical Inference Poster Calibrating the pixel-level Kepler imaging data with a causal data-driven model Wang, D., Foreman-Mackey, D., Hogg, D., Schölkopf, B. Workshop: 225th American Astronomical Society Meeting 2015 , 258.08, 2015 (Published) Web URL BibTeX
Empirical Inference Poster Disparity estimation from a generative light field model Köhler, R., Schölkopf, B., Hirsch, M. IEEE International Conference on Computer Vision (ICCV 2015), Workshop on Inverse Rendering, 2015, Note: This work has been presented as a poster and is not included in the workshop proceedings. BibTeX
Empirical Inference Poster Increasing the sensitivity of Kepler to Earth-like exoplanets Foreman-Mackey, D., Hogg, D., Schölkopf, B., Wang, D. Workshop: 225th American Astronomical Society Meeting 2015 , 105.01D, 2015 (Published) Web URL BibTeX
Empirical Inference Poster Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Computational and Systems Neuroscience Meeting (COSYNE 2014), 2014 (Published) BibTeX
Empirical Inference Poster Dynamical source analysis of hippocampal sharp-wave ripple episodes Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Bernstein Conference, 2014 (Published) DOI BibTeX
Empirical Inference Poster FID-guided retrospective motion correction based on autofocusing Babayeva, M., Loktyushin, A., Kober, T., Granziera, C., Nickisch, H., Gruetter, R., Krueger, G. Joint Annual Meeting ISMRM-ESMRMB 2014, Milano, Italy, 2014 BibTeX
Empirical Inference Poster Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. Bernstein Conference, 2013 DOI BibTeX
Empirical Inference Poster Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus Ramirez-Villegas, J., Logothetis, N., Besserve, M. 4th German Neurophysiology PhD Meeting Networks, 2013 Web BibTeX
Empirical Inference Poster Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), 2013 BibTeX
Empirical Inference Poster Domain Generalization via Invariant Feature Representation Muandet, K., Balduzzi, D., Schölkopf, B. 30th International Conference on Machine Learning (ICML2013), 2013 PDF BibTeX
Empirical Inference Poster Gaussian Process Vine Copulas for Multivariate Dependence Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. International Conference on Machine Learning (ICML 2013), 2013 (Published) PDF BibTeX
Empirical Inference Poster One-class Support Measure Machines for Group Anomaly Detection Muandet, K., Schölkopf, B. 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013 PDF BibTeX
Empirical Inference Probabilistic Numerics Poster The Randomized Dependence Coefficient Lopez-Paz, D., Hennig, P., Schölkopf, B. Neural Information Processing Systems (NIPS 2013), 2013 PDF BibTeX
Empirical Inference Poster Blind Retrospective Motion Correction of MR Images Loktyushin, A., Nickisch, H., Pohmann, R., Schölkopf, B. 20th Annual Scientific Meeting ISMRM, May 2012
Patient motion in the scanner is one of the most challenging problems in MRI. We propose a new retrospective motion correction method for which no tracking devices or specialized sequences are required. We seek the motion parameters such that the image gradients in the spatial domain become sparse. We then use these parameters to invert the motion and recover the sharp image. In our experiments we acquired 2D TSE images and 3D FLASH/MPRAGE volumes of the human head. Major quality improvements are possible in the 2D case and substantial improvements in the 3D case.
Web BibTeX
Empirical Inference Poster Centrality of the Mammalian Functional Brain Network Besserve, M., Bartels, A., Murayama, Y., Logothetis, N. 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), 2012 BibTeX
Empirical Inference Poster Evaluation of Whole-Body MR-Based Attenuation Correction in Bone and Soft Tissue Lesions Bezrukov, I., Mantlik, F., Schmidt, H., Schwenzer, N., Brendle, C., Schölkopf, B., Pichler, B. Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2012), 2012 (Published) BibTeX
Empirical Inference Poster Identifying endogenous rhythmic spatio-temporal patterns in micro-electrode array recordings Besserve, M., Panagiotaropoulos, T., Crocker, B., Kapoor, V., Tolias, A., Panzeri, S., Logothetis, N. 9th annual Computational and Systems Neuroscience meeting (Cosyne 2012), 2012 BibTeX
Empirical Inference Poster Juggling Increases Interhemispheric Brain Connectivity: A Visual and Quantitative dMRI Study. Schultz, T., Gerber, P., Schmidt-Wilcke, T. Vision, Modeling and Visualization (VMV 2012), 2012 BibTeX
Empirical Inference Poster Kernel Mean Embeddings of POMDPs Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K. 21st Machine Learning Summer School , 2012 BibTeX
Empirical Inference Poster Learning from Distributions via Support Measure Machines Muandet, K., Fukumizu, K., Dinuzzo, F., Schölkopf, B. 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012 PDF BibTeX