Annual Review of Neuroscience / Jul 21, 2012

Bavelier, D., Green, C. S., Pouget, A., & Schrater, P. (2012). Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games. Annual Review of Neuroscience, 35(1), 391–416. https://doi.org/10.1146/annurev-neuro-060909-152832

Proceedings of the National Academy of Sciences / Nov 04, 2002

Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L. (2002). Shape perception reduces activity in human primary visual cortex. Proceedings of the National Academy of Sciences, 99(23), 15164–15169. https://doi.org/10.1073/pnas.192579399

Journal of Cognitive Neuroscience / May 01, 2003

Carlson, T. A., Schrater, P., & He, S. (2003). Patterns of Activity in the Categorical Representations of Objects. Journal of Cognitive Neuroscience, 15(5), 704–717. https://doi.org/10.1162/jocn.2003.15.5.704

IEEE Transactions on Multimedia / Jun 01, 2002

Shekhar, S., Schrater, P. R., Vatsavai, R. R., Weili Wu, & Chawla, S. (2002). Spatial contextual classification and prediction models for mining geospatial data. IEEE Transactions on Multimedia, 4(2), 174–188. https://doi.org/10.1109/tmm.2002.1017732

Neural Networks / Jun 01, 2004

Murray, S. O., Schrater, P., & Kersten, D. (2004). Perceptual grouping and the interactions between visual cortical areas. Neural Networks, 17(5–6), 695–705. https://doi.org/10.1016/j.neunet.2004.03.010

The Journal of Neuroscience / Mar 14, 2012

Raposo, D., Sheppard, J. P., Schrater, P. R., & Churchland, A. K. (2012). Multisensory Decision-Making in Rats and Humans. The Journal of Neuroscience, 32(11), 3726–3735. https://doi.org/10.1523/jneurosci.4998-11.2012

Proceedings of the 9th ACM Conference on Recommender Systems / Sep 16, 2015

Kapoor, K., Kumar, V., Terveen, L., Konstan, J. A., & Schrater, P. (2015). “I like to explore sometimes.” Proceedings of the 9th ACM Conference on Recommender Systems. https://doi.org/10.1145/2792838.2800172

Journal of Neuroscience / Jun 27, 2007

Battaglia, P. W., & Schrater, P. R. (2007). Humans Trade Off Viewing Time and Movement Duration to Improve Visuomotor Accuracy in a Fast Reaching Task. Journal of Neuroscience, 27(26), 6984–6994. https://doi.org/10.1523/jneurosci.1309-07.2007

Journal of Vision / May 23, 2008

Sundareswara, R., & Schrater, P. R. (2008). Perceptual multistability predicted by search model for Bayesian decisions. Journal of Vision, 8(5), 12. https://doi.org/10.1167/8.5.12

Current Biology / Dec 01, 2011

Doerschner, K., Fleming, R. W., Yilmaz, O., Schrater, P. R., Hartung, B., & Kersten, D. (2011). Visual Motion and the Perception of Surface Material. Current Biology, 21(23), 2010–2016. https://doi.org/10.1016/j.cub.2011.10.036

Journal of Intelligent and Robotic Systems / Oct 03, 2007

Bodor, R., Drenner, A., Schrater, P., & Papanikolopoulos, N. (2007). Optimal Camera Placement for Automated Surveillance Tasks. Journal of Intelligent and Robotic Systems, 50(3), 257–295. https://doi.org/10.1007/s10846-007-9164-7

Proceedings of the National Academy of Sciences / Aug 30, 2010

Green, C. S., Benson, C., Kersten, D., & Schrater, P. (2010). Alterations in choice behavior by manipulations of world model. Proceedings of the National Academy of Sciences, 107(37), 16401–16406. https://doi.org/10.1073/pnas.1001709107

Vision Research / Mar 01, 2004

Olman, C. A., Ugurbil, K., Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Research, 44(7), 669–683. https://doi.org/10.1016/j.visres.2003.10.022

Vision Research / Dec 01, 1998

Schrater, P. R., & Simoncelli, E. P. (1998). Local velocity representation: evidence from motion adaptation. Vision Research, 38(24), 3899–3912. https://doi.org/10.1016/s0042-6989(98)00088-1

Frontiers in Neuroscience / Aug 24, 2015

Christie, S. T., & Schrater, P. (2015). Cognitive cost as dynamic allocation of energetic resources. Frontiers in Neuroscience, 9. https://doi.org/10.3389/fnins.2015.00289

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining / Feb 02, 2015

Kapoor, K., Subbian, K., Srivastava, J., & Schrater, P. (2015). Just in Time Recommendations. Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/2684822.2685306

Information Systems Research / Dec 01, 2012

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2012). Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes. Information Systems Research, 23(4), 1263–1283. https://doi.org/10.1287/isre.1110.0415

Journal of Vision / Sep 03, 2010

Schrater, P., & Acuna, D. (2010). Structure learning in sequential decision making. Journal of Vision, 9(8), 829–829. https://doi.org/10.1167/9.8.829

Nature Neuroscience / Jan 01, 2000

Schrater, P. R., Knill, D. C., & Simoncelli, E. P. (2000). Mechanisms of visual motion detection. Nature Neuroscience, 3(1), 64–68. https://doi.org/10.1038/71134

Journal of Experimental Psychology: Human Perception and Performance / Feb 01, 2007

Kallie, C. S., Schrater, P. R., & Legge, G. E. (2007). Variability in stepping direction explains the veering behavior of blind walkers. Journal of Experimental Psychology: Human Perception and Performance, 33(1), 183–200. https://doi.org/10.1037/0096-1523.33.1.183

Decision Support Systems / Nov 01, 2009

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2009). Detecting and forecasting economic regimes in multi-agent automated exchanges. Decision Support Systems, 47(4), 307–318. https://doi.org/10.1016/j.dss.2009.05.012

PLoS Computational Biology / Jun 30, 2011

Battaglia, P. W., Kersten, D., & Schrater, P. R. (2011). How Haptic Size Sensations Improve Distance Perception. PLoS Computational Biology, 7(6), e1002080. https://doi.org/10.1371/journal.pcbi.1002080

Experimental Brain Research / May 15, 2007

Schlicht, E. J., & Schrater, P. R. (2007). Effects of visual uncertainty on grasping movements. Experimental Brain Research, 182(1), 47–57. https://doi.org/10.1007/s00221-007-0970-8

Nature / Apr 01, 2001

Schrater, P. R., Knill, D. C., & Simoncelli, E. P. (2001). Perceiving visual expansion without optic flow. Nature, 410(6830), 816–819. https://doi.org/10.1038/35071075

Journal of Neurophysiology / Jun 01, 2007

Schlicht, E. J., & Schrater, P. R. (2007). Impact of Coordinate Transformation Uncertainty on Human Sensorimotor Control. Journal of Neurophysiology, 97(6), 4203–4214. https://doi.org/10.1152/jn.00160.2007

Journal of Vision / Aug 25, 2015

Green, C. S., Kattner, F., Siegel, M. H., Kersten, D., & Schrater, P. R. (2015). Differences in perceptual learning transfer as a function of training task. Journal of Vision, 15(10), 5. https://doi.org/10.1167/15.10.5

PLoS Computational Biology / Nov 14, 2013

Micheyl, C., Schrater, P. R., & Oxenham, A. J. (2013). Auditory Frequency and Intensity Discrimination Explained Using a Cortical Population Rate Code. PLoS Computational Biology, 9(11), e1003336. https://doi.org/10.1371/journal.pcbi.1003336

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems / Oct 01, 2007

Christopoulos, V. N., & Schrater, P. (2007). Handling shape and contact location uncertainty in grasping two-dimensional planar objects. 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2007.4399509

Computer Vision and Image Understanding / Aug 01, 2006

Veeraraghavan, H., Schrater, P., & Papanikolopoulos, N. (2006). Robust target detection and tracking through integration of motion, color, and geometry. Computer Vision and Image Understanding, 103(2), 121–138. https://doi.org/10.1016/j.cviu.2006.04.003

Journal of Vision / Jun 01, 2005

Hartung, B., Schrater, P. R., Bulthoff, H. H., Kersten, D., & Franz, V. H. (2005). Is prior knowledge of object geometry used in visually guided reaching? Journal of Vision, 5(6), 2–2. https://doi.org/10.1167/5.6.2

Frontiers in Human Neuroscience / Jan 01, 2012

Johnson, A., Varberg, Z., Benhardus, J., Maahs, A., & Schrater, P. (2012). The hippocampus and exploration: dynamically evolving behavior and neural representations. Frontiers in Human Neuroscience, 6. https://doi.org/10.3389/fnhum.2012.00216

2020 59th IEEE Conference on Decision and Control (CDC) / Dec 14, 2020

Zhu, J., Sandhu, R., & Liu, J. (2020). A Distributed Algorithm for Sequential Decision Making in Multi-Armed Bandit with Homogeneous Rewards. 2020 59th IEEE Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc42340.2020.9303836

Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.

Bodor, R., Schrater, P., & Papanikolopoulos, N. (n.d.). Multi-camera positioning to optimize task observability. Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005. https://doi.org/10.1109/avss.2005.1577328

PLoS Computational Biology / Oct 16, 2009

Christopoulos, V. N., & Schrater, P. R. (2009). Grasping Objects with Environmentally Induced Position Uncertainty. PLoS Computational Biology, 5(10), e1000538. https://doi.org/10.1371/journal.pcbi.1000538

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.

Veeraraghavan, H., Atev, S., Bird, N., Schrater, P., & Papanikolopoulos, N. (n.d.). Driver activity monitoring through supervised and unsupervised learning. Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. https://doi.org/10.1109/itsc.2005.1520169

Perception and the Physical World / Apr 22, 2002

Kersten, D., & Schrater, P. (2002). Pattern Inference Theory: A Probabilistic Approach to Vision. Perception and the Physical World, 191–228. Portico. https://doi.org/10.1002/0470013427.ch7

Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005.

Veeraraghavan, H., Schrater, P., & Papanikolopoulos, N. (n.d.). Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005. https://doi.org/10.1109/.2005.1467180

PLOS Computational Biology / Sep 22, 2015

Christopoulos, V., & Schrater, P. R. (2015). Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision Making. PLOS Computational Biology, 11(9), e1004402. https://doi.org/10.1371/journal.pcbi.1004402

2007 IEEE Conference on Computer Vision and Pattern Recognition / Jun 01, 2007

Veeraraghavan, H., Papanikolopoulos, N., & Schrater, P. (2007). Learning Dynamic Event Descriptions in Image Sequences. 2007 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2007.383075

2006 IEEE Intelligent Transportation Systems Conference / Jan 01, 2006

Veeraraghavan, H., Papanikolopoulos, N., & Schrater, P. (2006). Deterministic sampling-based switching kalman filtering for vehicle tracking. 2006 IEEE Intelligent Transportation Systems Conference. https://doi.org/10.1109/itsc.2006.1707409

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems / Jan 01, 2005

Bodor, R., Drenner, A., Janssen, M., Schrater, P., & Papanikolopoulos, N. (2005). Mobile camera positioning to optimize the observability of human activity recognition tasks. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2005.1545599

Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms / Jan 01, 2006

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2006). Identifying and Forecasting Economic Regimes in TAC SCM. Lecture Notes in Computer Science, 113–125. https://doi.org/10.1007/11888727_9

IEEE International. 2005 Proceedings of the IEEE Workload Characterization Symposium, 2005.

Eeckhout, L., Sundareswara, R., Joshua J. Yi, Lilja, D. J., & Schrater, P. (n.d.). Accurate statistical approaches for generating representative workload compositions. IEEE International. 2005 Proceedings of the IEEE Workload Characterization Symposium, 2005. https://doi.org/10.1109/iiswc.2005.1526001

PLoS ONE / Sep 05, 2013

Kalia, A. A., Schrater, P. R., & Legge, G. E. (2013). Combining Path Integration and Remembered Landmarks When Navigating without Vision. PLoS ONE, 8(9), e72170. https://doi.org/10.1371/journal.pone.0072170

Proceedings of the ninth international conference on Electronic commerce / Aug 19, 2007

Ketter, W., Collins, J., Gini, M., Schrater, P., & Gupta, A. (2007). A predictive empirical model for pricing and resource allocation decisions. Proceedings of the Ninth International Conference on Electronic Commerce. https://doi.org/10.1145/1282100.1282185

Physics Today / Jan 01, 2014

Preprint repository arXiv achieves milestone million uploads. (2014). Physics Today. https://doi.org/10.1063/pt.5.028530

Physics Today / Jan 01, 2014

Preprint repository arXiv achieves milestone million uploads. (2014). Physics Today. https://doi.org/10.1063/pt.5.028530

2003 International Conference on Geometric Modeling and Graphics, 2003. Proceedings

Sundareswara, R., & Schrater, P. (n.d.). Extensible point location algorithm. 2003 International Conference on Geometric Modeling and Graphics, 2003. Proceedings. https://doi.org/10.1109/gmag.2003.1219670

Journal of Vision / Mar 16, 2010

Lu, H., Yuille, A., & Liu, Z. (2010). Configural processing in biological motion detection: Human versus ideal observers. Journal of Vision, 5(8), 23–23. https://doi.org/10.1167/5.8.23

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) / Dec 01, 2019

Gebhart, T., Schrater, P., & Hylton, A. (2019). Characterizing the Shape of Activation Space in Deep Neural Networks. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). https://doi.org/10.1109/icmla.2019.00254

PLoS Computational Biology / Jan 02, 2014

Fulvio, J. M., Green, C. S., & Schrater, P. R. (2014). Task-Specific Response Strategy Selection on the Basis of Recent Training Experience. PLoS Computational Biology, 10(1), e1003425. https://doi.org/10.1371/journal.pcbi.1003425

Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)

Sundareswara, R., & Schrater, P. R. (n.d.). Bayesian Modelling of Camera Calibration and Reconstruction. Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM’05). https://doi.org/10.1109/3dim.2005.24

Pattern Recognition / Sep 01, 2011

Doerschner, K., Kersten, D., & Schrater, P. R. (2011). Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognition, 44(9), 1874–1884. https://doi.org/10.1016/j.patcog.2010.09.007

eneuro / Jan 01, 2020

Blohm, G., Kording, K. P., & Schrater, P. R. (2020). A How-to-Model Guide for Neuroscience. Eneuro, 7(1), ENEURO.0352-19.2019. https://doi.org/10.1523/eneuro.0352-19.2019

Proceedings of the 2nd symposium on Applied perception in graphics and visualization / Aug 26, 2005

Battaglia, P. W., Schrater, P. R., & Kersten, D. J. (2005). Auxiliary object knowledge influences visually-guided interception behavior. Proceedings of the 2nd Symposium on Applied Perception in Graphics and Visualization. https://doi.org/10.1145/1080402.1080430

Trends in Cognitive Sciences / Jul 01, 2021

van Viegen, T., Akrami, A., Bonnen, K., DeWitt, E., Hyafil, A., Ledmyr, H., Lindsay, G. W., Mineault, P., Murray, J. D., Pitkow, X., Puce, A., Sedigh-Sarvestani, M., Stringer, C., Achakulvisut, T., Alikarami, E., Atay, M. S., Batty, E., Erlich, J. C., Galbraith, B. V., … Peters, M. A. K. (2021). Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility. Trends in Cognitive Sciences, 25(7), 535–538. https://doi.org/10.1016/j.tics.2021.03.018

PLOS ONE / Oct 23, 2015

Srivastava, N., & Schrater, P. (2015). Learning What to Want: Context-Sensitive Preference Learning. PLOS ONE, 10(10), e0141129. https://doi.org/10.1371/journal.pone.0141129

Advances in Neural Information Processing Systems 19 / Sep 07, 2007

Schrater, P. R., & Sundareswara, R. (2007). Theory and Dynamics of Perceptual Bistability. Advances in Neural Information Processing Systems 19, 1217–1224. https://doi.org/10.7551/mitpress/7503.003.0157

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems / Jul 25, 2005

Jensen, S., Boley, D., Gini, M., & Schrater, P. (2005). Rapid on-line temporal sequence prediction by an adaptive agent. Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems. https://doi.org/10.1145/1082473.1082484

Probabilistic Models of the Brain / Jan 01, 2002

Vision, Psychophysics and Bayes. (2002). Probabilistic Models of the Brain. https://doi.org/10.7551/mitpress/5583.003.0006

Proceedings of the National Academy of Sciences / Nov 23, 2020

Wu, Z., Kwon, M., Daptardar, S., Schrater, P., & Pitkow, X. (2020). Rational thoughts in neural codes. Proceedings of the National Academy of Sciences, 117(47), 29311–29320. https://doi.org/10.1073/pnas.1912336117

PLoS Computational Biology / Mar 05, 2010

Battaglia, P. W., Di Luca, M., Ernst, M. O., Schrater, P. R., Machulla, T., & Kersten, D. (2010). Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLoS Computational Biology, 6(3), e1000697. https://doi.org/10.1371/journal.pcbi.1000697

Sep 12, 2019

Wu, Z., Kwon, M., Daptardar, S., Schrater, P., & Pitkow, X. (2019). Rational Thoughts in Neural Codes. https://doi.org/10.1101/765867

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining / Aug 11, 2013

Kapoor, K., Srivastava, N., Srivastava, J., & Schrater, P. (2013). Measuring spontaneous devaluations in user preferences. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/2487575.2487679

Feb 06, 2019

Holm, L., Wadenholt, G., & Schrater, P. (2019). Episodic curiosity for avoiding asteroids: Per-trial information gain for choice outcomes drive information seeking. https://doi.org/10.31234/osf.io/udazx

PsycEXTRA Dataset / Jan 01, 2008

Haberstroh, S., & Oeberst, A. (2008). Decisions from experience: Sampling vs. observation of sampling. PsycEXTRA Dataset. https://doi.org/10.1037/e722352011-123

Sep 24, 2018

Kording, K., Blohm, G., Schrater, P., & Kay, K. (2018). Appreciating diversity of goals in computational neuroscience. https://doi.org/10.31219/osf.io/3vy69

Sep 24, 2018

Kording, K., Blohm, G., Schrater, P., & Kay, K. (2018). Appreciating diversity of goals in computational neuroscience. https://doi.org/10.31219/osf.io/3vy69

Journal of Vision / Aug 01, 2004

Amiri, H., & Schrater, P. R. (2004). Visual cue integration of motion-in-depth cues. Journal of Vision, 4(8), 610–610. https://doi.org/10.1167/4.8.610

Life Sciences / Jan 01, 1993

Schrater, P. R., Russo, A. C., Stanton, T. L., Newman, J. R., Rodriguez, L. M., & Beckman, A. L. (1993). Changes in striatal dopamine metabolism during the development of morphine physical dependence in rats: Observations using in vivo microdialysis. Life Sciences, 52(19), 1535–1545. https://doi.org/10.1016/0024-3205(93)90054-7

Oct 21, 2019

Shahidi, N., Parajuli, A., Franch, M., Schrater, P., Wright, A., Pitkow, X., & Dragoi, V. (2019). Population coding of strategic variables during foraging in freely-moving macaques. https://doi.org/10.1101/811992

2018 Conference on Cognitive Computational Neuroscience / Jan 01, 2018

Wu, Z., Schrater, P., & Pitkow, X. (2018). Inverse POMDP: Inferring Internal Model and Latent Beliefs. 2018 Conference on Cognitive Computational Neuroscience. https://doi.org/10.32470/ccn.2018.1213-0

Journal of Vision / Feb 13, 2006

Carlson, T. A., Schrater, P., & He, S. (2006). Floating square illusion: Perceptual uncoupling of static and dynamic objects in motion. Journal of Vision, 6(2), 4. https://doi.org/10.1167/6.2.4

IACAPAP ArXiv / Jan 01, 2021

Falissard, B. (2021). The future of evaluation of child and adolescent psychiatric treatments. IACAPAP ArXiv. https://doi.org/10.14744/iacapaparxiv.2020.20007

100 Years of Math Milestones / Jun 12, 2019

arXiv. (2019). 100 Years of Math Milestones, 433–437. https://doi.org/10.1090/mbk/121/79

Computer Analysis of Images and Patterns / Jan 01, 2009

Zang, D., Doerschner, K., & Schrater, P. R. (2009). Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. Lecture Notes in Computer Science, 881–888. https://doi.org/10.1007/978-3-642-03767-2_107

Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.

Veeraraghavan, H., Schrater, P., & Papanikolopoulos, N. (n.d.). Adaptive geometric templates for feature matching. Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. https://doi.org/10.1109/robot.2006.1642220

Journal of Vision / Mar 16, 2010

Schlicht, E. J., & Schrater, P. R. (2010). Bayesian model for reaching and grasping peripheral and occluded targets. Journal of Vision, 3(9), 261–261. https://doi.org/10.1167/3.9.261

PLoS ONE / Dec 12, 2012

Holm, L., Engel, S., & Schrater, P. (2012). Object Learning Improves Feature Extraction but Does Not Improve Feature Selection. PLoS ONE, 7(12), e51325. https://doi.org/10.1371/journal.pone.0051325

Neural Computation / Oct 01, 2011

Christopoulos, V. N., & Schrater, P. R. (2011). An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty. Neural Computation, 23(10), 2511–2536. https://doi.org/10.1162/neco_a_00180

SSRN Electronic Journal / Jan 01, 2010

Srivastava, N., & Schrater, P. (2010). An Evolutionarily Motivated Model of Decision-Making Under Uncertainty. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1687205

Vision Research / Oct 01, 1995

Assouline, M. (1995). Risk factor analysis for poor visual outcome following PRK. Vision Research, 35(1), S51. https://doi.org/10.1016/0042-6989(95)98222-u

Proceedings of the 22nd International Conference on Intelligent User Interfaces / Mar 07, 2017

Kumar, A., & Schrater, P. (2017). Novelty Learning via Collaborative Proximity Filtering. Proceedings of the 22nd International Conference on Intelligent User Interfaces. https://doi.org/10.1145/3025171.3025180

Proceedings of the Human Factors Society Annual Meeting / Oct 01, 1984

Gevins, A. S. (1984). Use of Neuroelectric Measures to Assess Cognitive Workload. Proceedings of the Human Factors Society Annual Meeting, 28(1), 36–36. https://doi.org/10.1177/154193128402800110

Proceedings of the AAAI Conference on Artificial Intelligence / Jul 22, 2012

Kapoor, K., Amato, C., Srivastava, N., & Schrater, P. (2012). Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. Proceedings of the AAAI Conference on Artificial Intelligence, 26(2), 2293–2298. https://doi.org/10.1609/aaai.v26i2.18972

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) / Apr 01, 2011

Zhong, M., & Todorov, E. (2011). Moving least-squares approximations for linearly-solvable MDP. 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). https://doi.org/10.1109/adprl.2011.5967383

2011 IEEE International Conference on Development and Learning (ICDL) / Aug 01, 2011

Srivastava, N., Kapoor, K., & Schrater, P. R. (2011). A cognitive basis for theories of intrinsic motivation. 2011 IEEE International Conference on Development and Learning (ICDL). https://doi.org/10.1109/devlrn.2011.6037327

Proceedings of the Human Factors and Ergonomics Society Annual Meeting / Sep 01, 2011

Brown, J., & Madhavan, P. (2011). Simulated Airline Luggage Screening: The Effects of Social-Cognitive Biases on Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), 939–943. https://doi.org/10.1177/1071181311551195

ISPASS 2008 - IEEE International Symposium on Performance Analysis of Systems and software / Apr 01, 2008

Christopoulos, V. N., Lilja, D. J., Schrater, P. R., & Georgopoulos, A. (2008). Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets. ISPASS 2008 - IEEE International Symposium on Performance Analysis of Systems and Software. https://doi.org/10.1109/ispass.2008.4510749

Biological Psychiatry / Sep 01, 2023

Xiao, J., Provenza, N. R., Asfouri, J., Myers, J., Mathura, R. K., Metzger, B., Adkinson, J. A., Allawala, A. B., Pirtle, V., Oswalt, D., Shofty, B., Robinson, M. E., Mathew, S. J., Goodman, W. K., Pouratian, N., Schrater, P. R., Patel, A. B., Tolias, A. S., Bijanki, K. R., … Sheth, S. A. (2023). Decoding Depression Severity From Intracranial Neural Activity. Biological Psychiatry, 94(6), 445–453. https://doi.org/10.1016/j.biopsych.2023.01.020

2010 IEEE International Conference on Image Processing / Sep 01, 2010

Zang, D., Schrater, P. R., & Doerschner, K. (2010). Object rigidity and reflectivity identification based on motion analysis. 2010 IEEE International Conference on Image Processing. https://doi.org/10.1109/icip.2010.5652288

PLoS Computational Biology / Dec 02, 2010

Acuña, D. E., & Schrater, P. (2010). Structure Learning in Human Sequential Decision-Making. PLoS Computational Biology, 6(12), e1001003. https://doi.org/10.1371/journal.pcbi.1001003

Proceedings of the 26th Annual International Conference on Machine Learning / Jun 14, 2009

Simsek, O. (2009). Workshop summary: Abstraction in reinforcement learning. Proceedings of the 26th Annual International Conference on Machine Learning. https://doi.org/10.1145/1553374.1553550

PLOS Computational Biology / Oct 01, 2021

Enachescu, V., Schrater, P., Schaal, S., & Christopoulos, V. (2021). Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. PLOS Computational Biology, 17(10), e1009429. https://doi.org/10.1371/journal.pcbi.1009429

Feb 16, 2021

Herce Castañón, S., Cardoso-Leite, P., Altarelli, I., Green, C. S., Schrater, P., & Bavelier, D. (2021). A mixture of generative models strategy helps humans generalize across tasks. https://doi.org/10.1101/2021.02.16.431506