Kreiman Lab Publications
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2024
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
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
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
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 (2024). An adversarial collaboration to critically evaluate theories of consciousness. Nature, In Press PDF (bioRxiv version)
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
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
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
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
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
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
Bono S, Madan S, Grover I, Yasueda M, Breazeal C, Pfister H, Kreiman G (2024). Look Around! Unexpecetd gains from training on environments in the vicinity of the target. arXiv, 2401.15856. PDF
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
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
Madan S, Li Y, Zhang M, Pfister H, Kreiman G. (2024). Improving generalization by mimicking the human visual diet. bioRxiv, 2206.07802. PDF | Resources
2023
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
Talbot, MB, Zawar R, Badkundri R, Zhang M, Kreiman G. (2023). Tuned compositional feature replays for efficient stream learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), PDF | Supplement | Resources PMID: 38145511
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
Casper S, Killian T, Kreiman G, Hadfield-Mennell D (2023). White-box adversarial policies in deep reinforcement learning. arXiv, 2209.02167. PDF | Resources
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
Bricken T, Schaeffer R, Olshausen B, Kreiman G. (2023) Emergence of sparse representations from noise. International Conference on Machine Learning (ICML). PDF
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
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
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
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
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
Kreiman G (2023). Neural coding: Stimulating cortex to alter visual perception. 33, R117-R118. Current Biology, 33:R117-R118 PDF PMID: 36750025
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
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
2022
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
Liu X, Sikarwar A, Lim JH, Kreiman G, Shi Z, Zhang M (2022). Reason from context with self-supervised learning, arXiv 2211.12817 PDF
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
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
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
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
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
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
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
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
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
Sikarwar, A, Kreiman G (2022). On the efficacy of co-attention transformer layers in visual question answering. arXiv , 2201.03965. PDF
Shaham N, Chandra J, Kreiman G, Sompolinsky H (2022). Stochastic consolidation of lifelong memory. Scientific Reports, 12: 13107 PDF | Supplement PMID: 35907920
2021
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
Bricken T, Pehlevan C (2021). Attention approximates sparse distributed memory. NeurIPS. PDF
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
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
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
Zhang M, Kreiman G (2021). Beauty is in the eye of the machine. Nature Human Behavior 5:1-2 PDF
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
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
2020
Yuan L, Xiao W, Kreiman G, Tay FEH, Feng, JL, Livingstone, M (2020). Adversarial images for the primate brain. arXiv. 2011.05623 PDF
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
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
Olson J, Kreiman G. (2020). Simple learning rules generate complex cannonical circuits. arXiv, 2009.06118 | PDF | Resources
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
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
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
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
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
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
O'Connel TP, Chun MM, Kreiman G. (2020). Zero-shot neural decoding of visual categories without prior exemplars. bioRxiv, 10.1101/700344. PDF
2019
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
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
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
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
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
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
2018
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
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
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
Zhang M, Feng J, Lim JH, Zhao Q, Kreiman G. (2018) What am I searching for? arXiv 1807.11926PDF
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
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
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
2017
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
Cheney N, Schrimpf M, Kreiman G. (2017) On the robustness of convolutional neural networks to internal architecture and weight perturbations arXiv, 1703.08245 PDF
Tang H, Kreiman G. (2017). Recognition of occluded objects. In Computational and Cognitive Neuroscience of Vision. (ed Zhao, Q). Singapore: Springer-Verlag. PDF
2016
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
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
Lotter, W, Kreiman, G, Cox, D. (2016.) Unsupervised representation learning using predictive generative works. International Conference on Learning Representations (ICLR), Puerto Rico. PDF
Kreiman G. (2016). A null model for cortical representations with grandmothers galore. Language, Cognition and Neuroscience, 32, 274-285. PDF. PMID: 29204455
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
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
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
2015
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
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
2014
Fried I, Rutishauser U, Cerf M, Kreiman G. (2014). Single Neuron Studies of the Human Brain, Probing Cognition. MIT Press. BOOK.
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
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
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
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
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
Kreiman G. (2014). Neural correlates of consciousness: perception and volition. In Cognitive Neuroscience, Vol. V (ed Gazzaniga M). Ch 68, MIT Press. PDF
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
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
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
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
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
Singer J, Kreiman G. (2014). Short Temporal Asynchrony Disrupts Visual Object Recognition. Journal of Vision, 12,14. PDF | Resources | PMID: 24819738
Frost B, Hemberg M, Lewis J, Feany M. (2014). Tau promotes neurodegeneration through global chromatin relaxation. Nature Neuroscience, 17, 357-366. PDF PMID: 24464041
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
2013
Kreiman G. (2013). Computational Models of Visual Object Recognition. In Principles of Neural Coding (eds Panzeri S, Quiroga R). Ch 29, CRC Press. PDF
- Kreiman G. (2013). Mind the quantum? Trends in Cognitive Science, 17(3),109. PDF
2012
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
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
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
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
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
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
2011
Kriegeskorte N, Kreiman G. (2011). Visual Population Codes, Towards a Common Multivariate Framework for Cell Recording and Functional Imaging. MIT Press. BOOK | RESOURCES
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
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
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
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
Tang H, Kreiman G. (2011). Face Recognition: Vision and Emotions beyond the Bubble. Current Biology, 21:21. PDF PMID:22075428
Kreiman G, Maunsell J. (2011). Nine criteria for a measure of scientific output. Frontiers in Computational Neuroscience, 5:48. PDF. PMID:22102840
Kreiman G. (2011). Literary inspiration. Nature, 475:453-454. PDF
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
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
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
Anderson WS, Kreiman, G. (2011). Neuroscience: What We Cannot Model, We Do Not Understand. Current Biology, 21:R124-R125. PDF PMID:21315264
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
2010
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
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
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
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
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
Quian Quiroga R, Kreiman G. (2010). Measuring sparseness in the brain. Psychological Review, 11:291-297. PDF PMID:20063978
2009
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.
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
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
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
Singer J, Kreiman G. (2009). Toward unmasking the dynamics of visual perception. Neuron, 64:446-447. PDF PMID:19945387
2008
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
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
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
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
2007
Kreiman G. (2007). Single neuron approaches to human vision and memories. Current Opinion in Neurobiology, 17:471-475. PDF PMID: 17703936
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
Kreiman G. (2007). Brain science: from the very large to the very small. Current Biology, 17:R768-R770. PDF PMID:17803929
2006
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
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
2005
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
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
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
2004
Crick F, Koch C, Kreiman G, Fried I. (2004). Consciousness and Neurosurgery. Neurosurgery, 55:272-282. PDF PMID: 15271233
Yeo G, Holste D, Kreiman G, Burge C. (2004). Variation in alternative splicing across human tissues. Genome Biology, 5:R74. PDF | RESOURCES PMID: 15461793
Kreiman G. (2004). Neural coding: computational and biophysical perspectives. Physics of Life Reviews, 2:71-102. PDF
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
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
2002
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
Rees G, Kreiman G, Koch C. (2002). Neural correlates of consciousness in humans. Nature Reviews Neuroscience, 3:261-270. PDF PMID: 11967556
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
2001
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
Kreiman G. (2001). Moveo ergo sum. BioEssays, 23:662. PDF
2000
Kreiman G, Koch C, Fried I. (2000). Imagery neurons in the human brain. Nature, 408:357-361. PDF PMID: 11099042
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
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
1999
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
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