Kreiman Lab Publications

All Reviews Conferences Comments Books Book Chapters Theses

    2023

  1. 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

  2. Aghajan Z, Kreiman G, Fried I (2023). Minute-scale periodicity of neuronal firing in the human entorhinal cortex. bioRxiv 2022.05.05.490703. Cell Reports, In Press. PDF

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

  4. Zheng J, Yebra M, Schjetnan AGP, Mosher C, Kalia A, Chung JM, Reed CM, Valiante TA, Mamelak A, Kreiman G, Rutishauser U (2023). Hippocampal theta phase precession supports memory formation and retrieval of naturalistic experience in humans. bioRxiv 2023.06.05.543539. PDF

  5. Xiao Y, Sanchez Lopez P, Wu R, Wei PH, Shan YZ, Weisholtz D, Cosgrove GR, Madsen JR, Stone S, Zhao GG, Kreiman G (2023). Integration of recognition, episodic, and associative memories during complex human behavior. bioRxiv 2023.03.27.534384 PDF | Supplement | Resources

  6. Xiao W, Sharma S, Kreiman G, Livingstone MS (2023) Out of sight, out of mind: Responses in primate ventral visual cortex track individual fixations during natural vision. bioRxiv 2023.02.08.527666. PDF

  7. Bricken T, Schaeffer R, Olshausen B, Kreiman G. (2023) Emergence of Sparse Representations from Noise. International Conference on Machine Learning (ICML). PDF

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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 (2023). An adversarial collaboration to critically evaluate theories of consciousness. bioRxiv 2023.06.23.546249 PDF

  13. 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

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

  15. 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

  16. 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. PDF

    17. 2022

  17. 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

  18. Li C, Kreiman G, Ramanathan S (2022). Integrating artificial and biological neural networks to improve animal task performance using deep reinforcement learning. bioRxiv 2022.09.19.508590 PDF

  19. Talbot, MB, Zawar R, Badkundri R, Zhang M, Kreiman G. (2022). Lifelong Compositional Feature Replays Beat Image Replays in Stream Learning. arXiv 2104.02206 PDF

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

  21. 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

  22. 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

  23. Casper S, Nadeau M, Hadfield-Menell D, Kreiman G (2022). One thing to fool them all: generating interpretable, universal, and physically-realizable adversarial features. NeurIPS. PDF | Supplementary Material | Resources

  24. 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

  25. 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

  26. Zheng J, Schjetnan AGP, Yebra M, Mosher C, Kalia S, Valiante TA, Mamelak A, Kreiman G, Rutishauser U (2022). Cognitive boundary signals in the human medial temporal lobe shape episodic memory representation. Nature Neuroscience 25:358-368. PDF | Resources

  27. 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 2022-09-3.  DOI: 10.1145/3522757. PDF

  28. 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

  29. 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

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

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

    32. 2021

  32. 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

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

  34. 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, doi:10.1093/scan/nsab134 PDF

  35. 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

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

  37. 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) arXiv 2104.02215 PDF

  38. 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

    39. 2020

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

  40. 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

  41. 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

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

  43. 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

  44. Lotter W, Kreiman G, Cox D. (2020) A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. Nature Machine Intelligence, 2:210-219. PDF | Resources

  45. 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

  46. 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

  47. 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

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

    49. 2019

  49. 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 | bioRxiv 10.1101/516484. PDF

  50. 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

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

  52. 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

  53. Xiao W, Chen H, Liao Q, Poggio T. (2019). Biologically-plausible learning algorithms can scale to large datasets. ICLR. PDF

  54. 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

    55. 2018

  55. 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

  56. 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

  57. 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

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

  59. 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

  60. 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). arXiv version: arXiv:1803.01967v2 | Resources

  61. 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

    62. 2017

  62. 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

  63. Cheney N, Schrimpf M, Kreiman G. On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations (2017). arXiv version: arXiv:1703.08245v1

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

    65. 2016

  65. 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

  66. 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

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

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

  69. 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

  70. 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

  71. 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

    72. 2015

  72. 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

  73. 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

    74. 2014

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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

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

  81. 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

  82. 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 PDF PMID: 25403355

  83. 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

  84. Kim T, Hemberg M, Gray J. (2014). Enhancer RNAs: a class of long noncoding RNAs synthesized at enhancers. Invited essay for the Epigenetics textbook (2nd edition). Cold Spring Harbor Press. PDF PMID: 25561718

  85. 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 PDF PMID: 24910596

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

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

  88. 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

    89. 2013

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

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

    91. 2012

  91. 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

  92. 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

  93. 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 PDF / RESOURCES PMID: 2268462

  94. 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

  95. 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

  96. 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

    97. 2011

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

  98. 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

  99. 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

  100. 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

  101. 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

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

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

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

  105. 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

  106. 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

  107. 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 PDF PMID: 21315264

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

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

    110. 2010

  110. 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 PDF / RESOURCES PMID:20393465

  111. 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 PDF / RESOURCES PMID:20417105

  112. 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

  113. 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

  114. 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

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

    116. 2009

  116. 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.

  117. 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 PDF / RESOURCES PMID:19409272

  118. 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

  119. 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

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

    121. 2008

  121. 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 PDF / RESOURCES PMID:18562555

  122. 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

  123. 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

  124. 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

    125. 2007

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

  126. 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

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

    128. 2006

  128. 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 PDF / RESOURCES PMID: 16633343

  129. 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 PDF / RESOURCES PMID:16446146

    130. 2005

  130. 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 PDF / RESOURCES PMID:16272124

  131. 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 PDF PMID:15973409

  132. 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

    133. 2004

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

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

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

  136. 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

  137. 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 PDF / RESOURCES PMID: 15075390

    138. 2002

  138. 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

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

  140. 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

    141. 2001

  141. 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

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

    143. 2000

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

  144. 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

  145. 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

    146. 1999

  146. 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

  147. 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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