Kreiman Lab Publications

All Reviews Conferences Comments Books Book Chapters Theses

    2025

  1. Casile A, Cordier A, Kim JG, Cometa A, Madsen JR, Stone S, Ben-Yosef G, Ullman S, Anderson W, Kreiman (2025) Neural correlates of minimal recognizable configurations in the human brain. Cell Reports, In Press PDF | Resources

  2. Ferrante O, Gorska U, Henin S, Hirschhorn R, Khalaf A, Lepauvre A, Liu L, Richter D, Vidal Y, Bonacchi N, Brown T, Sripad P, Armendariz M, Bendtz K, Ghafari T, Hetenyi D, Jeschke J, Kozma C, Mazumder DR, Montenegro S, Seedat A, Sharafeldin A, Yang, S, Baillet S, Chalmers DJ, Cichy RM, Fallon F, Panagiotaropoulos TI, Blumenfeld H, de Lange FP, Devore S, Jensen O, Kreiman G, Luo H, Boly M, Dehaene S, Koch C, Tononi G, Pitts M, Mudrik L, Melloni L (2025). An adversarial collaboration to critically evaluate theories of consciousness. Nature, In Press PDF (bioRxiv version)

  3. Talbot, MB, Zawar R, Badkundri R, Zhang M, Kreiman G. (2025). Tuned compositional feature replays for efficient stream learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 36(2):3300-3314 PDF | Supplement | Resources PMID: 38145511

  4. Talbot MB, Kreiman G, DiCarlo JJ, Gaziv G (2025). L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. International Conference on Learning Representations (ICLR). PDF | Resources

  5. Bono S, Madan S, Grover I, Yasueda M, Breazeal C, Pfister H, Kreiman G (2025). Look Around! Unexpecetd gains from training on environments in the vicinity of the target. AAAI PDF

    6. 2024

  6. Xiao W, Sharma S, Kreiman G, Livingstone MS (2024) Feature-selective responses in macaque visual cortex follow eye movements during natural vision. Nature Neuroscience, 6:1157-1166. PDF | Supplement | Resources PMID: 38684892

  7. Li C, Kreiman G, Ramanathan S (2024). Discovering neural policies to drive behavior by integrating deep reinforcement learning agents with biological neural networks. Nature Machine Intelligence, PDF | Suppplement | Resources

  8. Djambazovska S, Zafer A, Ramezanpour H, Kreiman G, Kar K (2024). The impact of scene context on visual object recognition: comparing humans, monkeys, and computational models. bioRxiv, 2024.05.27.596127. PDF

  9. Hidalgo D, Dellaferrera G, Xiao W. Papadopouli M, Smirnakis SM, Kreiman G (2024). Trial-by-trial inter-areal interactions in visual cortex in the presence or absence of visual stimulation. bioRxiv, 2024.12.05.626981. PDF

  10. Madan S, Xiao W, Cao M, Pfister H, Livingstone M, Kreiman G. (2024). Benchmarking out-of-distribution generalization capabilities of DNN-based encoding models for the ventral visual cortex. NeurIPS PDF | Resources

  11. Wang C, Yaari A, Singh A, Subramaniam V, Rosenfarb D, Misra P, Madsen J, Stone S, Kreiman G, Katz B, Cases I, Barbu A (2024). Brain treebank: Large-scale intracranial recordings from naturalistic language stimuli. NeurIPS PDF | Resources

  12. Jain V, Alves Feitosa F, Kreiman G (2024). Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humor. arXiv, 2406.13564. PDF

  13. Zheng J, Yebra M, Schjetnan AGP, Mosher C, Kalia A, Chung JM, Reed CM, Valiante TA, Mamelak A, Kreiman G, Rutishauser U (2024). Theta Phase Precession Supports Memory Formation and Retrieval of Naturalistic Experience in Humans. Nature Human Behavior, In Press. PDF | Resources

  14. Li C, Brenner JW, Boesky A, Ramanathan S, Kreiman G (2024). Neuron-level prediction and noise can implement flexible reward-seeking behavior. bioRxiv, 2024.05.22.595306. PDF

  15. Subramaniam V, Conwell C, Wang C, Kreiman G, Katz B, Cases I, Barbu A (2024). Revealing Vision-Language Integration in the Brain with Multimodal Networks.  International Conference on Machine Learning (ICML). PDF

  16. Misra P, Shih Y, Yu H, Weisholtz D, Madsen J, Sceillig, S, Kreiman G (2024). Invariant neural representation of parts of speech in the human brain. bioRxiv, 2024.01.15.575788. PDF

  17. Srinivasan RF, Mignacco F, Sorboro M, Refinetti M, Cooper A, Kreiman G, Dellaferrera G. (2024). Forward learning with top-down feedback: empirical and analytical characterization.  International Conference on Learning Representations (ICLR), PDF

  18. Madan S, Li Y, Zhang M, Pfister H, Kreiman G. (2024). Improving generalization by mimicking the human visual diet. bioRxiv, 2206.07802. PDF | Resources

    19. 2023

  19. Singh P, Li Y, Sikarwar A, Lei W, Gao D, Talbot MB, Sun Y, Shou MZ, Kreiman G, Zhang M. (2023). Learning to Learn: How to Continuously Teach Humans and Machines. International Conference on Computer Vision (ICCV), PDF | Resources PMID: 38784111

  20. Aghajan Z, Kreiman G, Fried I (2023). Minute-scale periodicity of neuronal firing in the human entorhinal cortex. Cell Reports, 42, 113271. PDF | Resources PMID: 37906591

  21. Casper S, Killian T, Kreiman G, Hadfield-Mennell D (2023). White-box adversarial policies in deep reinforcement learning. arXiv, 2209.02167. PDF | Resources

  22. Xiao Y, Sanchez Lopez P, Wu R, Srinivasan R, Wei PH, Shan YZ, Weisholtz D, Cosgrove GR, Madsen JR, Stone S, Zhao GG, Kreiman G (2023). Neurophysiological and computational mechanisms of non-associative and associative memories during complex human behavior. bioRxiv, 2023.03.27.534384 PDF | Supplement| Resources

  23. Bricken T, Schaeffer R, Olshausen B, Kreiman G. (2023) Emergence of sparse representations from noise. International Conference on Machine Learning (ICML). PDF

  24. Bricken T, Davies A, Singh D, Krotov D, Kreiman G. (2023) Sparse distributed memory is a continual learner. International Conference on Learning Representations (ICLR), PDF | Supplementary Material | Resources

  25. Wang C, Subramaniam V, Yaari A, Kreiman G, Katz B, Cases I, Barbu A. (2023). BrainBERT: Self-supervised representation learning for intracranial electrodes. International Conference on Learning Representations (ICLR), PDF | Supplementary Material | Resources

  26. Xiao Y, Chou C, Cosgrove GR, Crone NE, Stone S, Madsen JR, Reucroft I, Weisholtz D, Shih YC, Yu HY, Anderson WS, Kreiman G (2023) Cross-task specificity and within-task invariance of cognitive control processes. Cell Reports, 42:111919. PDF | Supplementary Material | Resources PMID: 36640346

  27. Triggiani, AI, Kreiman G, Lewis C, Maoz U, Mele A, Mudrik L, Roskies A, Schurger A, Hallett M (2023). What is the intention to move and when does it occur? Neuroscience and Behavioral Reviews, 2023.105199 PDF PMID: 37119992

  28. Zhang Y, Aghajan ZM, Ison M, Lu Q, Tang H, Kalender G, Monsoor T, Zheng J, Kreiman G, Roychowdhury V, Fried I (2023). Decoding of human identity by computer vision and neuronal vision. Scientific Reports. 13:651 PDF | Supplementary Material PMID: 36635322

  29. Kreiman G (2023). Neural coding: Stimulating cortex to alter visual perception. 33, R117-R118. Current Biology, 33:R117-R118 PDF PMID: 36750025

  30. Xiao W, Zhang M, Kreiman G (2023). Artificial intelligence in neuroscience. Chater 10 in Neuroscience for Neurousrgeons, edited by Akter F, Emptage N, Engert F, and Berger M. Cambridge University Press, PDF

  31. Melloni L, Mudrik L, Pitts M, Bentz K, Ferrante O, Gorska U, Hirschhorn R, Khalaf A, Kozma C, Lepauvre A, Liu L, Mazumder D, Richter D, Zhou H, Blumenfeld H, Chalmers DJ, Devore S, Fallon F, de Lange F, Jensen O, Kreiman G, Luo H, Dehaene S, Koch C, Tononi G (2023). An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLoS One, 18(2):e0268577 PDF PMID: 36763595

    32. 2022

  32. Zhang M, Dellaferrera G, Sikarwar A, Armendariz M, Mudrik N, Agrawal P, Madan S, Barbu A, Yang H, Kumar T, Sadwani M, Dellaferrera S, Pizzochero M, Pfister H, Kreiman G (2022). Human or Machine? Turing Tests for Vision and Language. arXiv, 2211.13087 PDF

  33. Liu X, Sikarwar A, Lim JH, Kreiman G, Shi Z, Zhang M (2022). Reason from context with self-supervised learning, arXiv 2211.12817 PDF

  34. Ding Z, Ren X, David E, Vo Melissa, Kreiman G, Zhang M (2022). Efficient zero-shot visual search via target and context-aware transformer. arXiv, 2211.13470 PDF

  35. Zhang M, Armendariz M, Xiao W, Rose O, Bendtz K, Livingstone M, Ponce CR, Kreiman G (2022). Look twice: a generalist computational model predicts return fixations across tasks and species. PLoS Computational Biology, 18(11):e1010654 PDF | Supplementary Material | Resources PMID: 36413523

  36. Casper S, Nadeau M, Hadfield-Menell D, Kreiman G (2022). Robust feature-level adversaries are interpretability tools. NeurIPS, 35, 33093-33106. PDF | Supplementary Material | Resources

  37. Murugan R, Kreiman G (2022). Multiple transcription autoregulatory loops act as robust oscillators and decision making motifs.   Computational and Structural Biotechnology Journal, 20:5115-5135 PDF PMID: 36187915

  38. Bardon A, Xiao W, Ponce CR, Livingstone MS, Kreiman G (2022). Face neurons encode nonsemantic features. PNAS, 119, e2118705119, doi:10.1073/pnas.2118705119 . PDF | Supplementary Material | Resources PMID: 35377737

  39. Zheng J, Schjetnan AGP, Yebra M, Mosher C, Kalia S, Valiante TA, Mamelak A, Kreiman G, Rutishauser U (2022). Neurons detect cognitive boundaries to structure episodic memories in humans. Nature Neuroscience 25:358-368. PDF | Resources PMID: 35260859

  40. Hoogsteen KMP, Szpiro S, Kreiman G, Peli E (2022). Beyond the cane: describing urban scenes to blind people for mobility tasks. ACM Transactions on Accessible Computing, DOI: 10.1145/3522757. PDF PMID: 36148267

  41. Armendariz M, Xiao W, Vinken K, Kreiman G (2022). Do computational models of vision need shape-based representations? Evidence from an individual with intriguing visual perceptions. Cognitive Neuropsychology, 39: 75-77. PDF PMID: 35193459

  42. Dellaferrera G, Kreiman G (2022). Error-driven input modulation: solving the credit assignment problem without a backward pass. Proceeedings of Machine Learning Research (International Conference on Machine Learning (ICML)), 162:4937-4955 PDF

  43. Sikarwar, A, Kreiman G (2022). On the efficacy of co-attention transformer layers in visual question answering. arXiv , 2201.03965. PDF

  44. Shaham N, Chandra J, Kreiman G, Sompolinsky H (2022). Stochastic consolidation of lifelong memory. Scientific Reports, 12: 13107 PDF | Supplement PMID: 35907920

    45. 2021

  45. Gupta SK, Zhang M, Wu CC, Wolfe JM, Kreiman G (2021). Visual search asymmetry: deep nets and humans share similar inherent biases. Advances in Neural Information Processing Systems (NeurIPS) 34:6946-6959. PDF | Supplementary Material | Resources PMID: 36062138

  46. Bricken T, Pehlevan C (2021). Attention approximates sparse distributed memory. NeurIPS. PDF

  47. Weisholtz, DS, Kreiman G, Silbersweig DA, Stern E, Cha B, Butler T (2021). Localized task-invariant emotional valence encoding revealed by intracranial recordings. Soc Cogn Affect Neurosci, 17 (6):549-558 PDF PMID: 34941992

  48. Wang J, Tao A, Anderson WS, Madsen JR, Kreiman G (2021). Mesoscopic physiological interactions in the human brain reveal small world properties. Cell Reports, 36 (8) 109585. PDF | Supplementary Material | Resources PMID: 34433053

  49. Li C, Dezza, A (2021). What matters in branch specialization? Using a toy task to make predictions. Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop at NeurIPS PDF

  50. Zhang M, Kreiman G (2021). Beauty is in the eye of the machine. Nature Human Behavior 5:1-2 PDF

  51. Bomatter P, Zhang M, Karev D, Madan S, Tseng C, Kreiman G (2021). When pigs fly: contextual reasoning in synthetic and natural scenes. International Conference on Computer Vision (ICCV), 255-264. PDF | Resources PMID: 36051852

  52. Casper S, Boix X, D'Amario V, Guo L, Schrimpf M, Vinken K, Kreiman G. (2021). Frivolous units: wider networks are not really that wide. AAAI Conference on Artificial Intelligence, PDF

    53. 2020

  53. Yuan L, Xiao W, Kreiman G, Tay FEH, Feng, JL, Livingstone, M (2020). Adversarial images for the primate brain. arXiv. 2011.05623 PDF

  54. Kreiman G and Serre T (2020). Beyond the feedforward sweep: feedback computations in the visual cortex. Ann N Y Acad Sci, 1464:222-241. PDF PMID: 32112444

  55. Vinken K, Boix X, Kreiman G (2020). Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception. Science Advances, 6: eabd4205. PDF | Supplementary Material | Resources PMID: 33055170

  56. Olson J, Kreiman G. (2020). Simple learning rules generate complex cannonical circuits. arXiv, 2009.06118 | PDF | Resources

  57. Ben-Yosef G, Kreiman G, Ullman S. (2020). What can human minimal videos tells us about dynamic recognition models?. Workshop at International Conference on Learning Representations (ICLR) | PDF

  58. Xiao W. and Kreiman G. (2020). XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization. PLoS Computational Biology 16(6): e1007973. PDF | Resources | arXiv 1905.00378

  59. Lotter W, Kreiman G, Cox D. (2020) A neural network trained for prediction mimics diverse features of biological neuroms and perception. Nature Machine Intelligence, 2:210-219. PDF | Resources PMID: 34291193

  60. Zhang M, Tseng C, Kreiman G. (2020) Putting visual object recognition in context. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12982-12991. arXiv:1911.07349 | Supplementary Material | Resources PMID: 34566393

  61. Jacquot V, Ying J, Kreiman G. (2020) Can Deep Learning Recognize Subtle Human Activities? Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14244-14253,arXiv 2003.13852 | Resources PMID: 34290902

  62. Ben-Yosef G, Kreiman G, Ullman S. (2020) Minimal videos: Trade-off between spatial and temporal information in human and machine vision. Cognition, 201:104263. PDF | Resources PMID: 32325309

  63. O'Connel TP, Chun MM, Kreiman G. (2020). Zero-shot neural decoding of visual categories without prior exemplars. bioRxiv, 10.1101/700344. PDF

    64. 2019

  64. Ponce C.R., Xiao W., Schade P.F., Hartmann T.S., Kreiman G., Livingstone M. (2019). Evolving images for visual neurons using a deep generative network reveals coding principles and neuronal preferences. Cell, 177:999-1009. PDF | Supplementary Material | Resources. PMID: 31051108

  65. Zhang M, Tseng C, Montejo K, Kwon J, Kreiman G. Lift-the-flap: what, where and when for context reasoning. arXiv 1902.00163. PDF | Resources

  66. Kreiman G (2019). What do neurons really want? The role of semantics in cortical representations. Psychology of Learning and Motivation, Volume 70. Chapter 8. PDF | Resources

  67. Kreiman G. (2019) It's a small dimensional world after all. Comment on The unreasonable effectiveness fo small neural ensembles in high-dimensional brains" by Gorban et al. Physics of Life Reviews. PDF

  68. Xiao W, Chen H, Liao Q, Poggio T. (2019). Biologically-plausible learning algorithms can scale to large datasets. International Conference on Learning Representations (ICLR). PDF

  69. Madhavan R, Bansal AK, Madsen JR, Golby AJ, Tierney TS, Eskandar EN, Anderson WS, Kreiman G (2019). Neural interactions underlying visuomotor associations in the human brain. Cerebral Cortex. 29:4551-4567. PDF | Supplementary Material | Resources. PMID: 30590542

    70. 2018

  70. Tang H, Schrimpf M, Lotter W, Moerman C, Paredes A, Ortega Caro J, Hardesty W, Cox D, Kreiman G. (2018) Recurrent computations for visual pattern completion. PNAS, 115:8835-8840. PDF | Supplementary Material | GitHub | Resources. PMID: 30104363

  71. Misra P, Marconi A, Petterson M, Kreiman G. (2018) Minimal memory for details in real life events. Scientific Reports, 8, 16701. PDF | Supplementary Material | Resources

  72. Zhang M, Feng J, Ma KT, Lim JH, Zhao Q, Kreiman G. (2018) Finding any Waldo: zero-shot invariant and efficient visual search. Nature Communications, 9:3730. PDF | Supplementary Material | GitHub | Resources. PMID: 30213937

  73. Zhang M, Feng J, Lim JH, Zhao Q, Kreiman G. (2018) What am I searching for? arXiv 1807.11926PDF

  74. Palepu A, Premananthan CS, Azhar F, Vendrame M, Loddenkemper T, Reinsberger C, Kreiman G, Parkerson K, Sarma VS, Anderson WS. (2018). Automating interictal spike detection: revisiting a simple threshold rule. Conf Proc IEEE Eng Med Biol Soc, PDF

  75. Wu K, Wu E, Kreiman G (2018). Learning scene gist with convolutional neural networks to improve object recognition. IEEE Annual Conference on Information Sciences and Systems (CISS), PDF | Resources

  76. Isik I, Singer J, Madsen JR, Kanwisher N, Kreiman G. (2018) What is changing when: Decoding visual information in movies from human intracranial recordings. Neuroimage, 180:147-159. PDF | Supplementary Material | Resources. PMID: 28823828

    77. 2017

  77. Lotter W, Kreiman, G, Cox, D. (2017) Deep predictive coding networks for video prediction and unsupervised learning. International Conference on Learning Representations (ICLR), Toulon, France. PDF | GitHub

  78. Cheney N, Schrimpf M, Kreiman G. (2017)  On the robustness of convolutional neural networks to internal architecture and weight perturbations arXiv, 1703.08245 PDF

  79. Tang H, Kreiman G. (2017). Recognition of occluded objects. In Computational and Cognitive Neuroscience of Vision. (ed Zhao, Q). Singapore: Springer-Verlag. PDF

    80. 2016

  80. Gomez-Laberge C, Smolyanskaya A, Nassi JJ, Kreiman G, Born R. (2016). Bottom-up and top-down input augment the variability of cortical neurons. Neuron, 91:540-547. PDF | Supplementary Material. PMID: 27427459

  81. Tang H, Singer J, Ison M, Pivazyan G, Romaine M, Frias R, Meller E, Boulin A, Carroll JD, Perron V, Dowcett S, Arlellano M, Kreiman G. (2016). Predicting episodic memory formation for movie events. Scientific Reports, 6:30175. PDF | Supplementary Material | Resources. PMID: 27686330

  82. Lotter, W, Kreiman, G, Cox, D. (2016.) Unsupervised representation learning using predictive generative works. International Conference on Learning Representations (ICLR), Puerto Rico. PDF

  83. Kreiman G. (2016). A null model for cortical representations with grandmothers galore. Language, Cognition and Neuroscience, 32, 274-285. PDF. PMID: 29204455

  84. Tang S, Hemberg M, Cansizoglu E, Belin S, Kosik K, Kreiman G, Steen H, Steen J. (2016). f-divergence cutoff index to simultaneously identify differential expression in the integrated transcriptome and proteome. Nucleic Acids Research, 44:e97. PDF | Supplementary Material. PMID: 26980280

  85. Tang H, Yu H, Chou C, Crone N, Madsen J, Anderson W, Kreiman G. (2016). Cascade of neural processing orchestrates cognitive control in human frontal cortex. eLife, 5:e12352. PDF | Supplementary Material | Resources. PMID: 26888070

  86. Miconi T, Groomes L, Kreiman G. (2016). There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task. Cerebral Cortex, 26:3064-3082. PDF | Supplementary Material | Resources. PMID: 26092221

    87. 2015

  87. Singer JM, Madsen JR, Anderson WS, Kreiman G. (2015). Sensitivity to Timing and Order in Human Visual Cortex. Journal of Neurophysiology, 113:1656-1669. PDF PMID: 25429116

  88. Madhavan R, Millman D, Tang H, Crone NE, Lenz F, Tierney T, Madsen JR, Kreiman G, Anderson WS. (2015). Decrease in gamma-band activity tracks sequence learning. Frontiers in Systems Neuroscience, 8:222. PDF | Supplementary Material. PMID: 25653598

    89. 2014

  89. Fried I, Rutishauser U, Cerf M, Kreiman G. (2014). Single Neuron Studies of the Human Brain, Probing Cognition. MIT Press. BOOK.

  90. Tang H, Buia C, Madhavan R, Madsen J, Anderson W, Crone N, Kreiman G. (2014). Spatiotemporal dynamics underlying object completion in human ventral visual cortex. Neuron, 83:736-748. PDF | Supplementary Material 1 | Supplementary Material 2. PMID: 25043420

  91. Bansal A. (2014). Human Single Unit Activity for Reach and Grasp Motor Prostheses. In Single Neuron Studies of the Human Brain. (eds Fried I, Rutishauser U, Cerf M, Kreiman, G). Ch 17, MIT Press. PDF

  92. Rutishauser U, Cerf M, Kreiman G. (2014). Data analysis techniques for human microwire recordings: spike detection and sorting, decoding, relation between units and local field potentials. In Single neuron studies of the human brain. Probing cognition (eds Fried I, Rutishauser U, Cerf M, Kreiman, G). Ch 6, MIT Press. PDF

  93. Mormann F, Ison M, Quiroga RQ, Koch C, Fried I, Kreiman G. (2014). Visual cognitive adventures of single neurons in the human medial temporal lobe. In Single neuron studies of the human brain. Probing cognition (eds Fried I, Rutishauser U, Cerf M, Kreiman, G). Ch. 8, MIT Press. PDF

  94. Kreiman G, Rutishauser U, Cerf M, Fried I. (2014). The next ten years and beyond. In Single neuron studies of the human brain. Probing cognition (eds Fried I, Rutishauser U, Cerf M, Kreiman, G). Ch. 19, MIT Press. PDF

  95. Kreiman G. (2014). Neural correlates of consciousness: perception and volition. In Cognitive Neuroscience, Vol. V (ed Gazzaniga M). Ch 68, MIT Press. PDF

  96. Malik A,Vierbuchen T, Hemberg M, Rubin A, Ling E, Couch C, Stroud H, Spiegel I, Farh K, Harmin D, Greenberg M. (2014).Genome-wide identification and characterization of functional neuronal activity–dependent enhancers. Nature Neuroscience, 17:1330-1339. PDF PMID: 25195102

  97. Prabakaran S, Hemberg M, Chauhan R, Winter D, Tweedie-Cullen R, Dittrich C, Hong E, Gunawardena J, Steen H, Kreiman G, Steen JA. (2014). Quantitative Profiling of Peptides from RNAs classified as non-coding. Nature Communications, 5:5429. PDF | Supplementary Material PMID: 25403355

  98. Pinto A, Fernandez I, Peters J, Mananaro S, Singer J, Vendrame M, Prabhu S, Loddenkemper T, Kothare S. (2014). Localization of sleep spindles, k-complexes, and vertex waves with subdural electrodes in children. Clinical Neurophysiology, 4:367-74. PDF PMID: 25083850

  99. Kim T, Hemberg M, Gray J. (2014). Enhancer RNAs: a class of long noncoding RNAs synthesized at enhancers. Cold Spring Harbor Pesspectives in Biology. 5:a018622PDF PMID: 25561718

  100. Nassi J, Gomez-Laberge C, Kreiman G, Born R (2014). Corticocortical feedback increases the spatial extent of normalization. Frontiers in Systems Neuroscience, 8:105. PDF | Supplementary Material PMID: 24910596

  101. Singer J, Kreiman G. (2014). Short Temporal Asynchrony Disrupts Visual Object Recognition. Journal of Vision, 12,14. PDF | Resources | PMID: 24819738

  102. Frost B, Hemberg M, Lewis J, Feany M. (2014). Tau promotes neurodegeneration through global chromatin relaxation. Nature Neuroscience, 17, 357-366. PDF PMID: 24464041

  103. Bansal A, Madhavan R, Agam Y, Golby A, Madsen J, Kreiman G. (2014). Neural Dynamics Underlying Target Detection in the Human Brain. Journal of Neuroscience, 34, 3042-3055. PDF PMID: 24553944

    104. 2013

  104. Kreiman G. (2013). Computational Models of Visual Object Recognition. In Principles of Neural Coding (eds Panzeri S, Quiroga R). Ch 29, CRC Press. PDF

  105. Kreiman G. (2013). Mind the quantum? Trends in Cognitive Science, 17(3),109. PDF

    106. 2012

  106. Murugan R, Kreiman G. (2012). Theory on the coupled stochastic dynamics of transcription and splice-site recognition. PLoS Computational Biology, 8, 1-13, e1002747. PDF PMID: 23133354

  107. Bansal A, Singer J, Anderson WS, Golby A, Madsen JR, Kreiman G. (2012). Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes. Journal of Neurophysiology, 108:3073-3086. PDF PMID: 22956795

  108. Hemberg M, Gray JM, Cloonan N, Kuersten S, Grimmond S, Greenberg ME, Kreiman G. (2012). Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sites. Nucleic Acids Research, 40:7858-7869. PDF | Supplementary Material | RESOURCES PMID: 2268462

  109. Burbank KS, Kreiman G. (2012). Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections. PLoS Computational Biology, 8:1-16. PDF PMID:22396630

  110. Bansal AK,Truccolo W, Vargas-Irwin CE, Donoghue J. (2012). Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials. Journal of Neurophysiology, 107:1337-55. PDF PMID:22157115

  111. Ross SE, McCord AE, Jung C, Atan D, Mok SI, Hemberg M, Kim TK, Salogiannis J, Hu L, Cohen S, Lin Y, Harrar D, McInnes RR, Greenberg ME. (2012). Bhlhb5 and prdm8 form a repressor complex involved in neuronal circuit assembly. Neuron, 73:292-303. PDF PMID:22284184

    112. 2011

  112. Kriegeskorte N, Kreiman G. (2011). Visual Population Codes, Towards a Common Multivariate Framework for Cell Recording and Functional Imaging. MIT Press. BOOK | RESOURCES

  113. Burbank K, Kreiman G. (2011). Introduction to the Anatomy and Function of Visual Cortex. In Understanding Visual Population codes (eds Kriegeskorte N, Kreiman G). Ch 17, MIT Press. PDF

  114. Singer J, Kreiman G. (2011). Introduction to Statistical Learning and Pattern Classification. In Understanding Visual Population codes (eds Kriegeskorte N, Kreiman G). Ch 18, MIT Press. PDF

  115. Meyers E, Kreiman G. (2011). Tutorial on Pattern Classification in Cell Recording. In Understanding Visual Population Codes  (eds Kriegeskorte N, Kreiman G). Ch 19, MIT Press. PDF

  116. Cohen S, Gabel HW, Hemberg M, Hutchinson AN, Sadacca LA, Ebert DH, Harmin DA, Greenberg RS, Verdine VK, Zhou Z, Wetsel WC, West AE, Greenberg ME. (2011). Genome-wide activity-dependent MeCP2 phosphorylation regulates nervous system development and function. Neuron, 72, 72-85. PDF PMID: 21982370

  117. Tang H, Kreiman G. (2011). Face Recognition: Vision and Emotions beyond the Bubble. Current Biology, 21:21. PDF PMID:22075428

  118. Kreiman G, Maunsell J. (2011). Nine criteria for a measure of scientific output. Frontiers in Computational Neuroscience, 5:48. PDF. PMID:22102840

  119. Kreiman G. (2011). Literary inspiration. Nature, 475:453-454. PDF

  120. Murugan R, Kreiman G. (2011). On the minimization of fluctuations in the response times of autoregulatory gene networks. Biophysical Journal, 101:1297-1306. PDF PMID:21943410

  121. Hemberg M, Kreiman G. (2011). Conservation of transcription factor binding events predicts gene expression across species. Nucleic Acids Research, 39:7092-7102 PDF PMID:21622661

  122. Fried I, Mukamel R, Kreiman G. (2011). Internally Generated Preactivation of Single Neurons in Human Medial Frontal Cortex Predicts Volition. Neuron, 69: 548-562. PDF | Supplementary Material PMID: 21315264

  123. Anderson WS, Kreiman, G. (2011). Neuroscience: What We Cannot Model, We Do Not Understand. Current Biology, 21:R124-R125. PDF PMID:21315264

  124. Chen LL, Madhavan R, Rapoport B, Anderson WS. (2011). A method for real-time cortical oscillation detection and phase-locked stimulation. Conf Proc IEEE Eng. Med. Biol. Soc., 3087-3090. PDF PMID:22254992

    125. 2010

  125. Kim TK*, Hemberg M*, Gray JM*, Costa A, Bear DM, Wu J, Harmin DA, Laptewicz, M, Barbara-Haley K, Kuersten S, Markenscoff-Papadimitriou E, Kuhl D, Bito H, Worley PF, Kreiman G, Greenberg ME. (2010). Widespread transcription at thousands of enhancers during activity-dependent gene expression in neurons. Nature, 465:182-187. (* = equal contribution) PDF | Supplementary Material | RESOURCES PMID:20393465

  126. Agam Y, Liu H, Pappanastassiou A, Buia C, Golby AJ, Madsen JR, Kreiman G. (2010). Robust selectivity to two-object images in human visual cortex. Current Biology, 20:872-879. PDF | Supplementary Material | RESOURCES PMID:20417105

  127. Pfenning AR, Kim TK, Spotts JM, Hemberg M, Su D, West AE. (2010). Genome-wide identification of calcium-response factor (CaRF) binding sites predicts a role in regulation of neuronal signaling pathways. PLoS One, 5:e10870. PDF PMID:20523734

  128. Blumberg J, Kreiman G. (2010). How cortical neurons help us see: visual recognition in the human brain. Journal of Clinical Investigation, 120:3054-3063. PDF PMID:20811161

  129. Singer JM, Sheinberg DL. (2010). Temporal cortex neurons encode articulated actions as slow sequences of integrated poses. Journal of Neuroscience, 30:3133-3145. PDF PMID:20181610

  130. Quian Quiroga R, Kreiman G. (2010). Measuring sparseness in the brain. Psychological Review, 11:291-297. PDF PMID:20063978

    131. 2009

  131. Stahlberg A, Bengtsson M, Hemberg M, Semb H. (2009). Quantitative transcription factor analysis of undifferentiated single human embryonic stem cells. Clinical Chemistry, 55: 2162-70. PDF PMID: 19815608.

  132. Liu H, Agam Y, Madsen J, Kreiman G. (2009). Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron, 62:281-290. PDF | Supplementary Material | RESOURCES PMID:19409272

  133. Rasch M, Logothetis NK, Kreiman G. (2009). From neurons to circuits: linear estimation of local field potentials. Journal of Neuroscience, 29:13785-13796. PDF | RESOURCES PMID:19889990

  134. Horng S, Kreiman G, Ellsworth C, Page D, Blank M, Milen K, Sur M. (2009). Differential Gene Expression in the Developing Lateral Geniculate Nucleus and Medial Geniculate Nucleus Reveals Novel Roles for Zic4 and Foxp2 in Visual and Auditory Pathway Development. Journal of Neuroscience, 29:13672-13683. PDF PMID:19864579

  135. Singer J, Kreiman G. (2009). Toward unmasking the dynamics of visual perception. Neuron, 64:446-447. PDF PMID:19945387

    136. 2008

  136. Meyers E, Freedman D, Kreiman G, Miller E, Poggio T. (2008). Dynamic Population Coding of Category Information in ITC and PFC. Journal of Neurophysiology, 100:1407-1419 PDF | Supplementary Material | Resources PMID:18562555

  137. Flavell SW, Kim TK, Gray JM, Harmin DA, Hemberg M, Hong EJ, Markenscoff-Papadimitriou E, Bear DM, Greenberg ME. (2008). Genome-wide analysis of MEF2 transcriptional program reveals synaptic target genes and neuronal activity-dependent polyadenylation site selection. Neuron, 60:1022-1038.PDF PMID:19109909

  138. Quian Quiroga R, Kreiman G, Koch C, Fried I. (2008). Sparse but not "Grandmother Cell" coding in the medial temporal lobe. Trends in Cognitive Science, 12:87-91. PDF PMID:18262826

  139. Leamey C, Glendining K, Kreiman G, Kang N, Kuan H, Fassler R, Sawatari A, Tonegawa S, Sur M. (2008). Differential Gene Expression between Sensory Neocortical Areas: Potential Roles for Ten_m3 and Bcl6 in Patterning Visual and Somatosensory Pathways. Cerebral Cortex, 18:53-66. PDF PMID:17478416

    140. 2007

  140. Kreiman G. (2007). Single neuron approaches to human vision and memories. Current Opinion in Neurobiology, 17:471-475. PDF PMID: 17703936

  141. Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. (2007). A quantitative theory of immediate visual recognition. Progress In Brain Research, 165C:33-56. PDF | RESOURCES PMID:17925239

  142. Kreiman G. (2007). Brain science: from the very large to the very small. Current Biology, 17:R768-R770. PDF PMID:17803929

    143. 2006

  143. Tropea D, Kreiman G, Lyckman A, Mukherjee S, Yu H, Horng S, Sur M. (2006). Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex. Nature Neuroscience, 9:660-668 PDF | Supplementary Material | RESOURCES PMID: 16633343

  144. Kreiman G*, Hung C*, Quiroga R, Kraskov A, Poggio T, DiCarlo J. (2006). Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex. Neuron, 49:433-445. (*=equal contribution) PDF | Supplementary Material | RESOURCES PMID:16446146

    145. 2005

  145. Hung C*, Kreiman G*, Poggio T, DiCarlo J. (2005). Fast read-out of object identity from macaque inferior temporal cortex. Science, 310:863-866. (*=equal contribution) PDF | Supplementary Material | RESOURCES PMID:16272124

  146. Quian Quiroga R, Reddy L, Kreiman G, Koch C, Fried I. (2005). Invariant visual representation by single neurons in the human brain. Nature, 435:1102-1107. PDF | Supplementary MaterialF PMID:15973409

  147. Kreiman G, Fried I, Koch C. (2005). Responses of single neurons in the human brain during flash suppression. In Binocular Rivalry (eds Blake R, Alais D). Ch 12, MIT Press. PDF

    148. 2004

  148. Crick F, Koch C, Kreiman G, Fried I. (2004). Consciousness and Neurosurgery. Neurosurgery, 55:272-282. PDF PMID: 15271233

  149. Yeo G, Holste D, Kreiman G, Burge C. (2004). Variation in alternative splicing across human tissues. Genome Biology, 5:R74. PDF | RESOURCES PMID: 15461793

  150. Kreiman G. (2004). Neural coding: computational and biophysical perspectives. Physics of Life Reviews, 2:71-102. PDF

  151. Kreiman G. (2004). Identification of sparsely distributed clusters of cis-regulatory elements in sets of co-expressed genes. Nucleic Acids Research, 32:2889-2900. PDF | RESOURCES PMID: 15155858

  152. Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, Block D, Zhang J, Soden R, Hayakawa M, Kreiman G, Cooke MP, Walker JR, Hogenesch JB. (2004). A gene atlas of the mouse and human protein-encoding transcriptomes. Proceedings of the National Academy of Sciences USA, 101:6062-6067. PDF | Supplementary Material | RESOURCES PMID: 15075390

    153. 2002

  153. Kreiman G, Fried I, Koch C. (2002). Single neuron correlates of subjective vision in the human medial temporal lobe. Proceedings of the National Academy of Sciences USA, 99:8378-8383. PDF PMID: 12034865

  154. Rees G, Kreiman G, Koch C. (2002). Neural correlates of consciousness in humans. Nature Reviews Neuroscience, 3:261-270. PDF PMID: 11967556

  155. Krahe R, Kreiman G, Gabbiani F, Koch C, Metzner W. (2002). Stimulus encoding and feature extraction by multiple pyramidal cells in the hindbrain of weakly electric fish. Journal of Neuroscience, 22:2374-2382. PDF PMID: 11896176

    156. 2001

  156. Zirlinger M, Kreiman G, Anderson D. (2001). Amygdala-enriched genes identified by microarray technology are restricted to specific amygdaloid sub-nuclei. Proceedings of the National Academy of Sciences USA, 98:5270-5275. PDF | RESOURCES PMID: 11320257

  157. Kreiman G. (2001). Moveo ergo sum. BioEssays, 23:662. PDF

    158. 2000

  158. Kreiman G, Koch C, Fried I. (2000). Imagery neurons in the human brain. Nature, 408:357-361. PDF PMID: 11099042

  159. Kreiman G, Koch C, Fried I. (2000). Category-specific visual responses of single neurons in the human medial temporal lobe. Nature Neuroscience, 3:946-953. PDF PMID: 10966627

  160. Kreiman G, Krahe R, Metzner W, Koch C, Gabbiani F. (2000). Robustness and Variability of Neuronal Coding by Amplitude Sensitive Afferents in the Weakly Electric Fish Eigenmannia. Journal of Neurophysiology, 84:189-204. PDF PMID: 10899196

    161. 1999

  161. Ouyang Y, Rosenstein A, Kreiman G, Schuman EM, Kennedy, MB. (1999). Tetanic stimulation leads to increased accumulation of Ca2+ calmodulin-dependent protein kinase II via dendritic protein synthesis in hippocampal neurons. Journal of Neuroscience, 19:7823-7833. PDF PMID: 1047968

  162. Inon de Iannino N, Briones G, Kreiman G, Ugalde, R. (1996). Characterization of the biosynthesis of betha(1-2) cyclc glucan in R. Freddii. Cellular and Molecular Biology, 42:617-629. PDF PMID: 8832091

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