Peer reviewed original research publications

Abstracts, Technical Reports, theses and other unpublished papers are not listed.
Articles in peer-reviewed conference proceedings are labeled as “(CP)”.

Suman Ghosh, Giulia D’Angelo, Arren Glover, Massimiliano Iacono, Ernst Niebur, and Chiara Bartolozzi. Event-driven proto-object based saliency in 3D space to attract a robot’s attention. Scientific Reports, 12(7645), 2022. https://doi.org/10.1038/s41598-022-11723-6

Takeshi Uejima, Elena Mancinelli, Ernst Niebur, and Ralph Etienne-Cummings. The influence of stereopsis on visual saliency in a proto-object based model of selective attention. bioRxiv, 2022. https://doi.org/10.1101/2022.04.04.486976

Daniel B. Dorman, Aaron L. Sampson, Pierre Sacré, Veit Stuphorn, Ernst Niebur, and Sridevi V. Sarma. Decomposing executive function into distinct processes underlying human decision making. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, UK, 2022 (CP)

J. Molin, C. Thakur, E. Niebur, and R. Etienne-Cummings. A neuromorphic proto-object based dynamic visual saliency model with a hybrid implementation. IEEE Transactions on Biomedical Circuits and Systems, 15(3):580–594, 2021. https://doi.org/10.1109/TBCAS.2021.3089622

Seah Chang, Ernst Niebur, and Howard E. Egeth. Standing out in a small crowd: The role of display size in attracting attention. Visual Cognition, 0(0):1–5, 2021. https://doi.org/10.1080/13506285.2021.1918810

Varun Chokshi, Bryce D. Grier, Andrew Dykman, Crystal L. Lantz, Ernst Niebur, Elizabeth M. Quinlan, and Hey-Kyoung Lee. Naturalistic spike trains drive state-dependent homeostatic plasticity in superficial layers of visual cortex. Frontiers in Synaptic Neuroscience, 13:18, 2021. https://doi.org/10.3389/fnsyn.2021.663282

Nobuhiko Wagatsuma, Brian Hu, Rüdiger von der Heydt, and Ernst Niebur. Analysis of spiking synchrony in visual cortex reveals distinct types of top-down modulation signals for spatial and object-based attention. PLoS Computational Biology, 17(3):e1008829, 2021. https://doi.org/10.1371/journal.pcbi.1008829

J. Molin, C. Thakur, E. Niebur, and R. Etienne-Cummings. A neuromorphic proto-object based dynamic visual saliency model with an FPGA implementation. arRxiv, 11898, 2020. https://doi.org/10.48550/arXiv.2002.11898

Omar A. Hafez, Benjamin Escribano, Rouven Ziegler, J. Jan Hirtz, Ernst Niebur, and Jan Pielage. Dendritic signal integration in a Drosophila mushroom body output neuron (MBON) essential for learning and memory, 2020. https://doi.org/10.1101/2020.12.06.413500

Takeshi Uejima, Ernst Niebur, and Ralph Etienne-Cummings. Proto-object based saliency model with texture detection channel. Frontiers in Computational Neuroscience, 14(541581):1–18, 2020. https://doi.org/10.3389/fncom.2020.541581

Xinhao Fan, Jacob Elsey, Aurelien Wyngaard, You-Ping Yang, Aaron Sampson, Erik E Emeric, Moshe Glickman, Marius Usher, Dino Levy, Veit Stuphorn, and Ernst Niebur. Overt visual attention and value computation in complex risky choice. bioRxiv, 2020. https://doi.org/10.1101/2020.12.08.416313

Moshe Glickman, Orian Sharoni, Dino J Levy, Ernst Niebur, Veit Stuphorn, and Marius Usher. The formation of preference in risky choice. PLoS Computational Biology, 15(8):e1007201, 2019. https://doi.org/10.1371/journal.pcbi.1007201

K. Sakai, K. Tanaka, R. von der Heydt, and E. Niebur. Receptive field structure of border ownership-selective cells in response to direction of figure. In 28th Annual Computational Neuroscience Meeting CNS*2019, Barcelona, Spain, July 2019. Organization for Computational Neuroscience (CP)

Massimiliano Iacono, Giulia D’Angelo, Arren Glover, Vadim Tikhanoff, Ernst Niebur, and Chiara Bartolozzi. Proto-object based saliency for event-driven cameras. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 2019 (CP)

Brian Hu, Rüdiger von der Heydt, and Ernst Niebur. Figure-ground organization in natural scenes: Performance of a recurrent neural model compared with neurons of area V2. eNeuro, pages ENEURO–0479–18, 2019. https://doi.org/10.1523/ENEURO.0479-18.2019

Daniel M Jeck, Michael Qin, Howard Egeth, and Ernst Niebur. Unique objects attract attention even when faint. Vision research, 160:60–71, 2019. https://doi.org/10.1016/j.visres.2019.04.004

B. Hu, S. Khan, E Niebur, and B. Tripp. Figure-ground representation in deep neural networks. In IEEE-CISS 2019, pages 1–6. IEEE, IEEE, March 2019 (CP)

Omar Hafez, Benjamin Escribano, Jan Pielage, and Ernst Niebur. Integration of odor-induced activity of Kenyon cells in an electrotonically compact Drosophila mushroom body output neuron (MBON), 2019. https://doi.org/10.1101/847244

Pierre Sacré, Matthew S. D. Kerr, Sandya Subramanian, Zachary Fitzgerald, Kevin Kahn, Matthew A. Johnson, Ernst Niebur, Uri T. Eden, Jorge A. Gonzalez-Martinez, John T. Gale, and Sridevi V. Sarma. Risk-taking bias in human decision-making is encoded via a right-left brain push-pull system. Proc Natl Acad Sci USA, 116(4):1404–1413, 2019. https://doi.org/10.1073/pnas.1811259115

Takeshi Uejima, Ernst Niebur, Rüdiger von der Heydt, and Ralph Etienne-Cummings. Proto-Object Based Saliency Model with Second-Order Texture Feature. In BIOCAS 2018 – Biomedical Circuits and Systems Conference, Cleveland OH, October 2018. IEEE (CP)

Elena Mancinelli, Ernst Niebur, and Ralph Etienne-Cummings. Computational stereo-vision model of proto-object based saliency in three-dimensional space. In BIOCAS 2018 – Biomedical Circuits and Systems Conference, Cleveland OH, October 2018. IEEE (CP)

Yao Xu, Chun-Hui Zhang, Ernst Niebur, and Jun-Song Wang. Analytically determining frequency and amplitude of spontaneous alpha oscillation in Jansen’s neural mass model using the describing function method. Chinese Physics B, 27(4):048701, 2018. https://doi.org/10.1088/1674-1056/27/4/048701

B Hu, I. Johnson-Bey, M. Sharma, and Niebur E. Head movements are correlated with other measures of visual attention at smaller spatial scales. In 52nd Annual Conference on Information Systems and Sciences IEEE-CISS. IEEE Press, March 2018 (CP)

Grant Gillary, Rudiger von der Heydt, and Ernst Niebur. Short term depression and transient memory in sensory cortex. Journal of computational neuroscience, 43(3):273–294, 2017. https://doi.org/10.1007/s10827-017-0662-8

Brian Hu and Ernst Niebur. A recurrent neural model for proto-object based contour integration and figure-ground segregation. Journal of computational neuroscience, 43(3):227–242, 2017. https://doi.org/10.1007%2Fs10827-017-0659-3

Daniel M. Jeck, Michael Qin, Howard Egeth, and Ernst Niebur. Attentive pointing in natural scenes correlates with other measures of attention. Vision Research, 135:54–64, 2017. https://doi.org/10.1016/j.visres.2017.04.001

Chetan Singh Thakur, Jamal Molin, Tao Xiong, Jie Zhang, Ernst Niebur, and Ralph Etienne-Cummings. Neuromorphic visual saliency implementation using stochastic computation. In IEEE International Symposium on Circuits and Systems (ISCAS 2017), Baltimore, MD USA, May 2017. Elsevier (CP)

Daniel R. Mendat, James E. West, Sudarshan Ramenahalli, Ernst Niebur, and Andreas Andreou. Audio-visual beamforming with the eigenmike microphone array an omni-camera and cognitive auditory features. In 51st Annual Conference on Information Systems and Sciences IEEE-CISS. IEEE Press, 2017 (CP)

B Hu, I. Johnson-Bey, M. Sharma, and Niebur E. Head Movements During Visual Exploration of Natural Images in Virtual Reality. In 51st Annual Conference on Information Systems and Sciences IEEE-CISS. IEEE Press, March 2017 (CP)

Grant Gillary and Ernst Niebur. The Edge of Stability: Response Times And Delta Oscillations in Balanced Networks. PLoS Comput Biol, 12(9):e1005121, 2016. https://doi.org/10.1371/journal.pcbi.1005121

Manuel Gomez-Ramirez, Kristjana Hysaj, and Ernst Niebur. Neural mechanisms of selective attention in the somatosensory system. Journal of Neurophysiology, 116(3):1218–1231, 2016. https://doi.org/10.1152/jn.00637.2015

Nobuhiko Wagatsuma, Rüdiger von der Heydt, and Ernst Niebur. Modeling Attention-Induced Reduction of Spike Synchrony in the Visual Cortex. In A. Hirose and S. Ozawa, editors, Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), pages 1–8, Kyoto, Japan, October 2016. https://doi.org/10.1007/978-3-319-46687-3_40

N. Wagatsuma, R. von der Heydt, and E. Niebur. Spike Synchrony Generated by Modulatory Common Input through NMDA-type Synapses. Journal of Neurophysiology, 116(3):1418–1433, 2016. https://doi.org/10.1152%2Fjn.01142.2015

Junsong Wang, Ernst Niebur, Jinyu Hu, and Xiaoli Li. Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller. Scientific reports, 6:27344, 2016. https://doi.org/10.1038/srep27344

Brian Hu, Ralinkae Kane-Jackson, and Ernst Niebur. A proto-object based saliency model in three-dimensional space. Vision Research, 119:42–49, 2016. PMID: 26739278. https://doi.org/10.1016/j.visres.2015.12.004

Jamal Molin, Ralph Etienne-Cummings, and Ernst Niebur. How is Motion Integrated into a Proto-Object Based Visual Saliency Model? In 49th Annual Conference on Information Sciences and Systems IEEE-CISS-2015, pages 1–6. IEEE Press, 2015. https://dx.doi.org/10.1109/CISS.2015.7086902

B. Hu, R. von der Heydt, and E. Niebur. A neural model for perceptual organization of 3D surfaces. In IEEE CISS-2015 49th Annual Conference on Information Sciences and Systems, pages 1–6, Baltimore, MD, 2015. IEEE Information Theory Society. https://doi.org/10.1109/CISS.2015.7086906

Daniel Jeck and Ernst Niebur. Closed Form Jitter Analysis of Neuronal Spike Trains. arXiv:1502.07907 [q-bio.NC], 2015. https://doi.org/10.48550/arXiv.1502.07907

Daniel Jeck and Ernst Niebur. Closed Form Jitter Methods for Neuronal Spike Train Analysis. In 49th Annual Conference on Information Sciences and Systems IEEE-CISS-2015. IEEE Press, 2015 (CP)

Daniel Jeck and Ernst Niebur. Neuronal common input strength is unidentifiable from average firing rates and synchrony. In 49th Annual Conference on Information Sciences and Systems IEEE-CISS-2015, pages 1–3. IEEE Press, 2015 (CP)

Wang Jun-Song, Wang Mei-Li, Li Xiao-Li, and Ernst Niebur. Closed-loop control of epileptiform activities in a neural population model using a proportional-derivative controller. Chinese Physics B, 24(3):038701, 2015. https://doi.org/10.1088/1674-1056/24/3/038701

Manuel Gomez-Ramirez, Natalie K. Trzcinski, Stefan Mihalas, Ernst Niebur, and Steven S. Hsiao. Temporal correlation mechanisms and their role in feature selection: a single-unit study in primate somatosensory cortex. PLoS Biol, 12(11):e1002004:1–16, Nov 2014. https://doi.org/10.1371/journal.pbio.1002004

Sudarshan Ramenahalli, Stefan Mihalas, and Ernst Niebur. Local spectral anisotropy is a valid cue for figure-ground organization in natural scenes. Vision Research, 103:116–126, Oct 2014. https://doi.org/10.1016/j.visres.2014.08.012

A. F. Russell, S Mihalas, R. von der Heydt, E. Niebur, and R. Etienne-Cummings. A model of proto-object based saliency. Vision Research, 94:1–15, 2014. https://doi.org/10.1016/j.visres.2013.10.005

P. Le Callet and E. Niebur. Visual Attention and Applications in Multimedia Technologies. IEEE Proceedings, 101(9):2058–67, 2013. https://doi.org/10.1109%2FJPROC.2013.2265801

Jamal Lottier Molin, Alexander F Russell, Stefan Mihalas, Ernst Niebur, and Ralph Etienne-Cummings. Proto-object based visual saliency model with a motion-sensitive channel. In Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE, pages 25–28. IEEE, 2013. https://doi.org/10.1109/BioCAS.2013.6679631

X. Chen, S. Mihalas, E. Niebur, and V. Stuphorn. Mechanisms underlying the influence of saliency on value-based decisions. Journal of vision, 13(12):18, 2013. https://doi.org/10.1167/13.12.18

N. D. Jimenez, S. Mihalas, R. Brown, E. Niebur, and J. Rubin. Contractive Dynamics in Generalized Integrate-and-Fire Neurons. SIAM Journal on Applied Dynamical Systems, 12(3):1474–1514, 2013. https://doi.org/10.1137/120900435

Yi Dong, Stefan Mihalas, Sung Soo Kim, Takashi Yoshioka, Sliman Bensmaia, and Ernst Niebur. A simple model of mechanotransduction in primate glabrous skin. Journal of neurophysiology, 109(5):1350–1359, 2013. https://doi.org/10.1152%2Fjn.00395.2012

Alexander Russell, Kevin Mazurek, Stefan Mihalas, Ernst Niebur, and Ralph Etienne-Cummings. Parameter Estimation of a Spiking Silicon Neuron. Biomedical Circuits and Systems, IEEE Transactions on, 6(2):133–141, 2012. https://doi.org/10.1109%2FTBCAS.2011.2182650

S. Ramenahalli and E. Niebur. Computing 3D saliency from a 2D image. In Information Sciences and Systems (CISS), 2013 47th Annual Conference on, pages 1–5, 2013 (CP)

S. Mihalas, R. von der Heydt, and E. Niebur. A network model of multiplicative attentional modulation. In IEEE CISS-2012 46th Annual Conference on Information Sciences and Systems. IEEE Press, Princeton NJ, 2012 (CP)

S. Ramenahalli, S. Mihalas, and E. Niebur. Figure-ground classification based on spectral properties of boundary image patches. In IEEE CISS-2012 46th Annual Conference on Information Sciences and Systems, pages 1–6, Princeton, NJ, 2012. IEEE Information Theory Society (CP)

D. Ardila, S. Mihalas, R. von der Heydt, and E. Niebur. Medial axis generation in a model of perceptual organization. In IEEE CISS-2012 46th Annual Conference on Information Sciences and Systems, pages 1–4, Princeton University, NJ, 2012. IEEE (CP)

S. Mihalas, Y. Dong, R. von der Heydt, and E. Niebur. Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects. Proceedings of the National Academy of Sciences, 108(18):7583–8, 2011. https://doi.org/10.1073%2Fpnas.1014655108

Y. Dong, S. Mihalas, A. Russell, R. Etienne-Cummings, and E. Niebur. Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains. Neural Computation, 23(11):2833–67, 2011. https://doi.org/10.1162/neco_a_00196

Stefan Mihalas, Yi Dong, Rüdiger von der Heydt, and Ernst Niebur. Event-Related Simulation of Neural Processing in Complex Visual Scenes. In 45th Annual Conference on Information Sciences and Systems IEEE-CISS-2011, pages 1–6, Baltimore, MD, 2011. IEEE Information Theory Society (CP)

S. Ramenahalli, S. Mihalas, and E. Niebur. Extremal Edges: Evidence in Natural Images. In IEEE CISS-2011 45th Annual Conference on Information Sciences and Systems, pages 1–6, Baltimore, MD, 2011. IEEE Information Theory Society (CP)

Y. Dong, S. Mihalas, and E. Niebur. Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons. Neural Computation, 23(2):421–34, 2011. https://doi.org/10.1162/neco_a_00078

D. Millman, S. Mihalas, A. Kirkwood, and E. Niebur. Self-organized criticality occurs in non-conservative neuronal networks during Up states. Nature Physics, 6(10):801–805, 2010. https://doi.org/10.1038%2Fnphys1757

A. van Schaik, C. Jin, A. McEwan, TJ Hamilton, S. Mihalas, and E. Niebur. A log-domain implementation of the Mihalas-Niebur neuron model. In Circuits and Systems (ISCAS), Proceedings of the 2010 IEEE International Symposium on, pages 4249–4252. IEEE, 2010 (CP)

A. Russell, G. Orchard, Y. Dong, Ş. Mihalaş, E. Niebur, J. Tapson, and R. Etienne-Cummings. Optimization Methods for Spiking Neurons and Networks. IEEE Transactions on Neural Networks, 21(12):1950–62, 2010. https://doi.org/10.1109/TNN.2010.2083685

C. Masciocchi, S. Mihalas, D. Parkhurst, and E. Niebur. Everyone knows what is interesting: Salient locations which should be fixated. Journal of Vision, 9(11):1–22, October 2009. https://doi.org/10.1167/9.11.25

S. Mihalas and E. Niebur. A Generalized Linear Integrate-And-Fire Neural Model Produces Diverse Spiking Behavior. Neural Computation, 21(3):704–18, March 2009. https://doi.org/10.1162%2Fneco.2008.12-07-680

E. Niebur. Temporal tagging of attended objects. Proc. Nat. Acad. Sci., USA, 106(8):2479–80, February 2009. https://doi.org/10.1073/pnas.0813308106

F. Folowosele, A. Harrison, A. Cassidy, A. G. Andreou, R. Etienne-Cummings, S. Mihalas, E. Niebur, and T. J. Hamilton. A Switched-Capacitor Implementation of the Generalized Linear Integrate-And-Fire Neuron. In IEEE International Symposium on Circuits and Systems (ISCAS, Taiwan), pages 2149–52. IEEE Press, 2009 (CP)

S. Ray, N. E. Crone, E. Niebur, P. J. Franaszczuk, and S. S. Hsiao. Neural correlates of high-gamma oscillations (60-200 Hz) in macaque local field potentials and their potential implications in electrocorticography. J. Neurosci., 28(45):11526–36, 2008. https://doi.org/10.1523/JNEUROSCI.2848-08.2008

S. Ray, S. S. Hsiao, N. E. Crone, P. J. Franaszczuk, and E. Niebur. Effect of Stimulus Intensity on the Spike-Local Field Potential Relationship in the Secondary Somatosensory Cortex. J. Neurosci., 28(29):7334–43, 2008. https://doi.org/10.1523/jneurosci.1588-08.2008

Y. Dong, S. Mihalas, F. Qiu, R. von der Heydt, and E. Niebur. Synchrony and the binding problem in macaque visual cortex. Journal of Vision, 8(7):1–16, 2008. https://doi.org/10.1167/8.7.30

S. Mikula and E. Niebur. Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors. Neural Computation, 20(11):2637–61, 2008. https://doi.org/10.1162/neco.2008.07-07-570

C. D. Deppmann, S. Mihalas, N. Sharma, B. E. Lonze, E. Niebur, and D. D. Ginty. A model for neuronal competition during development. Science, 320(5874):369–73, 2008. https://doi.org/10.1126/science.1152677

S. Ray, E. Niebur, S. S. Hsiao, S. Sinai, and N. E. Crone. High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention. Clinical Neurophysiology, 119(1):116–33, 2008. https://doi.org/10.1016/j.clinph.2007.09.136

A. Roy, P. N. Steinmetz, S. S. Hsiao, K. O. Johnson, and E. Niebur. Synchrony: A Neural Correlate of Somatosensory Attention. J. Neurophysiology, 98:1645–61, 2007. https://doi.org/10.1152/jn.00522.2006

E. Niebur. Generation Of Synthetic Spike Trains With Defined Pairwise Correlations. Neural Computation, 19:1720–38, 2007. https://doi.org/10.1162%2Fneco.2007.19.7.1720

E. Craft, H. Schütze, E. Niebur, and R. von der Heydt. A neural model of figure-ground organization. Journal of Neurophysiology, 97(6):4310–26, 2007. https://doi.org/10.1152/jn.00203.2007

H. Shimazaki and E. Niebur. Correlated multiplicative modulation in coupled oscillator systems: a model of selective attention. Progress of Theoretical Physics Suppl., 161:336–9, 2006. https://doi.org/10.1143/PTPS.161.336

S. Mikula and E. Niebur. A novel method for visualizing functional connectivity using Principal Component Analysis. Intern. J Neuroscience, 116(4):419–429, 2006. https://doi.org/10.1080/00207450500505761

H. Shimazaki and E. Niebur. Phase transitions in multiplicative competitive processes. Physical Review E, 72:01192–1 – 01192–4, 2005. https://doi.org/10.1103/PhysRevE.72.011912

S. Mikula and E. Niebur. Rate and Synchrony in Feedforward Networks of Coincidence Detectors: Analytical Solution. Neural Computation, 14(4):881–902, 2005. https://doi.org/10.1162/0899766053429408

D Parkhurst and E. Niebur. Salience and overt visual attention. In Early Cognitive Vision Workshop. University of Stirling, Isle of Skye, Scotland, 2004 (CP)

E Craft, H. Schütze, R. von der Heydt, and E. Niebur. A physiologically inspired model of border ownership assignment. Journal of Vision, 4(8):728, 2004 (CP)

D. J. Parkhurst and E. Niebur. A feasibility test for perceptually adaptive level of detail rendering on desktop systems. In Proceedings of the Applied Perception in Graphics and Visualization Symposium, pages 49–56. ACM, New York, NY, 2004 (CP)

D. Parkhurst and E. Niebur. Texture contrast attracts overt visual attention in natural scenes. European J. Neuroscience, 19(3):783–789, 2004. https://doi.org/10.1111/j.0953-816x.2003.03183.x

S. Mikula and E. Niebur. Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution. IEEE Transactions on Neural Networks, 15(5):957–962, 2004. https://doi.org/10.1109/TNN.2004.832708

D. Parkhurst and E. Niebur. Scene Content Selected by Active Vision. Spatial Vision, 16(2):125–54, 2003. https://doi.org/10.1163/15685680360511645

S. Mikula and E. Niebur. Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector. Neural Computation, 15(10):2339–58, 2003. https://doi.org/10.1162/089976603322362383

S. Mikula and E. Niebur. The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution. Neural Computation, 15:539–47, 2003. https://doi.org/10.1162/089976603321192068

D. Parkhurst and E. Niebur. Variable resolution displays: a theoretical, practical and behavioral evaluation. Human Factors, 44(4):611–29, 2002. https://doi.org/10.1518/0018720024497015

D. Parkhurst, K. Law, and E. Niebur. Modelling the role of salience in the allocation of visual selective attention. Vision Research, 42(1):107–123, 2002. https://doi.org/10.1016/s0042-6989(01)00250-4

E. Niebur, L. Itti, and C. Koch. Controlling the Focus of Visual Selective Attention. In J. L. Van Hemmen, J. D. Cowan, and E. Domany, editors, Models of Neural Networks IV: Early Vision and Attention, pages 247–276. Springer Verlag, New York, 2002. https://doi.org/10.1007/978-0-387-21703-1_6

E. Niebur, S. S. Hsiao, and K. O. Johnson. Synchrony: a neuronal mechanism for attentional selection? Current Opinion In Neurobiology, 12(2):190–194, 2002. https://doi.org/10.1016/s0959-4388(02)00310-0

E. Niebur. Electrophysiological correlates of synchronous neural activity and attention: a short review. Biosystems, 67(1-3):157–66, 2002. https://doi.org/10.1016/s0303-2647(02)00102-8

E. Niebur, M. Elhilali, I. Obeid, J. Werfel, J. Blanchard, M. Frasca, K. Ghose, C. Hofstoetter, G. Indiveri, and M. W. Tilden. Research, Robots, and Reality: A Statement on Current Trends in Biorobotics. Behavioral and Brain Sciences, 24(6), 2001. https://doi.org/10.1017/S0140525X01450126

E. Niebur. Sensorimotor contingencies do not replace internal representations, and mastery is not necessary for perception. Behavioral and Brain Sciences, 24(5):994–995, Oct 2001. https://doi.org/10.1017/S0140525X01460110

S. Mikula and E. Niebur. Large-scale cortical organization of the macaque. In F. Rattay, editor, Proceedings of World Congress on Neuroinformatics. Vienna, September 2001 (CP)

Giacomo Indiveri, Timothy Horiuchi, Ernst Niebur, and Rodney Douglas. A competitive network of spiking VLSI neurons. In F. Rattay, editor, World Congress on Neuroinformatics. Vienna, September 2001 (CP)

P. N. Steinmetz, A. Roy, P. Fitzgerald, S. S. Hsiao, K. O. Johnson, and E. Niebur. Attention Modulates Synchronized Neuronal Firing in Primate Somatosensory Cortex. Nature, 404:187–190, 2000. https://doi.org/10.1038/35004588

A. Roy, P. N. Steinmetz, and E. Niebur. Rate Limitations of Unitary Event Analysis. Neural Computation, 12(9):2063–2082, 2000. https://doi.org/10.1162/089976600300015060

A. Roy, P. N. Steinmetz, K. O. Johnson, and E. Niebur. Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex. Neurocomputing, 32-33:1103–1108, 2000. https://doi.org/10.1016/S0925-2312(00)00284-8

D. Parkhurst, E. Culurciello, and E. Niebur. Intact visual search performance with variable resolution displays: Effects of low resolution in the peripheral visual field. Journal of Cognitive Neuroscience, 94a(suppl.):36–37, 2000

D. Parkhurst, E. Culurciello, and E. Niebur. Evaluating Variable Resolution Displays with Visual Search: Task Performance and Eye Movements. In Proceedings of the ACM Eye Tracking Research and Applications Symposium, pages 105–109, New York, NY, November 2000. ACM (CP)

E. Niebur. Separate but equal: Different kinds of information require different neural representations. In H. Bothe, editor, Proceedings of the International Congress on Intelligent Systems and Applications (ISA-BIS), pages 1544–9, Wetaskiwin, Canada, December 2000. ICSC Academic Press (CP)

Z. Domanski, P Erdős, S. B. Haley, and E. Niebur. Chemotactic Aggregation of an Ensemble of Identical Living Organisms in One Dimension. In 16th IMACS WORLD CONGRESS 2000 on Scientific Computation, Applied Mathematics and Simulation, pages 1–8, Lausanne, Switzerland, August 2000. Swiss Federal Institute of Technology (CP)

M. Usher and E. Niebur. Mental Representations: A computational-neuroscience scheme. In A. Riegler and M. Peschl, editors, Understanding Representation in the Cognitive Sciences, pages 135–143. Kluwer Academic Publishers, Norwell, MA, 1999 (CP)

T. Horiuchi and E. Niebur. Conjunction Search Using a 1-D Analog VLSI-based Attentional Search/Tracking Chip. In Scott Wills, editor, Proceedings of the 1999 Conference in Advanced Research in VLSI., pages 276–90, Georgia Tech, Atlanta, 1999. IEEE (CP)

L. Itti, C. Koch, and E. Niebur. A model of saliency-based fast visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1254–1259, November 1998. https://dx.doi.org/10.1109/34.730558

M. Usher and E. Niebur. Active neural representations: neurophysiological data and theoretical implications. In M. Peschl and A. Riegler, editors, New Trends in Cognitive Science. University of Vienna, Vienna, Austria, 1997 (CP)

E. Niebur and M. Usher. ’Tis all in pieces: (separate RFs and CFs, and) all coherence’s gone. Behavioral and Brain Sciences, 20(4):693, December 1997. https://doi.org/10.1017/S0140525X97341600

M. Usher and E. Niebur. Modeling the Temporal Dynamics of IT Neurons in Visual Search: A Mechanism for Top-Down Selective Attention. J. Cognitive Neuroscience, 8(4):311–327, 1996. https://doi.org/10.1162/jocn.1996.8.4.311

H. G. Schuster, E. Niebur, E. R. Hunt, G. A. Johnson, and M. Löcher. Parametric Feedback Resonance in Chaotic Systems. Physical Review Letters, 76:400–403, 1996. https://doi.org/10.1103/PhysRevLett.76.400

E. Niebur and C. Koch. Control of Selective Visual Attention: Modeling the “Where” Pathway. In D. S Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, Neural Information Processing Systems, volume 8, pages 802–808. MIT Press, Cambridge, MA, 1996 (CP)

A. Maeder, J. Diederich, and E. Niebur. Limiting human perception for image sequences. Proceedings of the SPIE, 2657:330–337, 1996. https://doi.org/10.1117/12.238729

M. Usher and E. Niebur. Stimulus-dependent synchronization in a model of orientation-tuned spiking neurons. In J. M. Bower, editor, Computation and Neural Systems, volume 3, pages 341–346. Kluwer, Norwell, MA, 1995 (CP)

M. Stemmler, M. Usher, and E. Niebur. Lateral Interactions in Primary Visual Cortex: A Model Bridging Physiology and Psychophysics. Science, 269:1877–1880, 1995. https://doi.org/10.1126/science.7569930

E. Niebur and F. Wörgötter. Design principles of columnar organization in visual cortex. Neural Computation, 6:602–614, 1994 https://psycnet.apa.org/doi/10.1162/neco.1994.6.4.602

E. Niebur and C. Koch. Models for the neurophysiological basis of attention based on the temporal structure of neural signals. In Th. Elbert, B. Lütkenhöner, and C. Pantev, editors, Oscillatory event related brain dynamics, pages 295–309. Plenum Press, London, 1994 (CP)

E. Niebur. Kognitive Modellierung. Künstliche Intelligenz, 4:41–42, 1994

E. Niebur and C. Koch. A model for the neuronal implementation of selective visual attention based on temporal correlation among neurons. Journal of Computational Neuroscience, 1(1):141–158, 1994. https://doi.org/10.1007/BF00962722

E. Niebur and D.W. Brettle. Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture. In J. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems, volume 6, pages 904–910. Morgan Kaufmann, San Mateo, 1994 (CP)

E. Niebur. Computational Neuroscience. Künstliche Intelligenz, 4:46–47, 1994

D.W. Brettle and E. Niebur. A detailed simulator of a biological neural network. IEEE Computational Science and Engineering, 1(4):31–43, 1994

F. Wörgötter and E. Niebur. Cortical column design: a link between maps of preferred orientation and orientation tuning strength. Biological Cybernetics, 70:1–13, 1993. https://doi.org/10.1007/BF00202561

M. Usher, H. G. Schuster, and E. Niebur. Dynamics of populations of integrate-and-fire neurons, partial synchronization and memory. Neural Computation, 5:570–586, 1993. https://dx.doi.org/10.1162/neco.1993.5.4.570

E. Niebur, C. Koch, and C. Rosin. An oscillation-based model for the neural basis of attention. Vision Research, 33:2789–2802, 1993. https://doi.org/10.1016/0042-6989(93)90236-P

E. Niebur and P. Erdős. Theory of the locomotion of nematodes: control of the somatic motor neurons by interneurons. Mathematical Biosciences, 118:51–82, 1993. https://doi.org/10.1016/0025-5564(93)90033-7

E. Niebur and P. Erdős. Modeling Locomotion and its neural control in nematodes. Comments in Theoretical Biology, 3(2):109–139, 1993

F. Wörgötter, E. Niebur, and C. Koch. Generation of direction selectivity by isotropic intracortical connections. Neural Computation, 4(2):332–340, 1992. https://dx.doi.org/10.1162/neco.1992.4.3.332

P. Erdős and E. Niebur. Fonalfergek helyvaltoztatasanakk neuralis lapja (in Hungarian; English title as translated by journal: The neural basis of nematode worms’ creeping). Fizikai szemle, 42(7):257–263, 1992.

F. Wörgötter, E. Niebur, and C. Koch. Isotropic connections generate functional asymmetrical behavior in visual cortical cells. J. Neurophysiol., 66(2):444–459, 1991. https://doi.org/10.1152/jn.1991.66.2.444

E. Niebur, F. Wörgötter, and C. Koch. The Caltech Computer Cat: a fine-grain simulator of the primary visual system of cat. In Annales du Groupe CARNAC, volume 4, pages 1–7. 1991

E. Niebur and F. Wörgötter. Influence of the column structure on intracortical long range interactions. In S. Sayegh, editor, Proceedings of the 3rd Mid-Western Conference on Neural Networks, pages 67–74. Purdue Univ. Press, W. Lafayette, 1991 (CP)

E. Niebur, H. G. Schuster, D.M. Kammen, and C. Koch. Oscillator phase coupling for different two-dimensional network connectivities. Physical Review A, 44(10):6895–6904, 1991. https://doi.org/10.1103/physreva.44.6895

E. Niebur, H. G. Schuster, and D.M. Kammen. Collective frequencies and metastability in networks of limit cycle oscillators with time delay. Physical Review Letters, 67(20):2753–2756, 1991. https://doi.org/10.1103/PhysRevLett.67.2753

E. Niebur and D. Niebur. Numerical Implementation of Sealed-End Boundary Conditions in Cable Theory. IEEE-Transactions on Biomedical Engineering, 38(2):1266–1271, 1991. https://doi.org/10.1109/10.137293

E. Niebur, D.M. Kammen, C. Koch, D. Ruderman, and H. G Schuster. Phase coupling in two-dimensional networks of interacting oscillators. In D. Touretzky and R. Lippman, editors, Advances in Neural Informations Processing Systems 3, pages 123–129. Morgan-Kaufmann, San Mateo, CA, 1991 (CP)

E. Niebur, D. M. Kammen, and C. Koch. Phase locking in 1-D and 2-D Networks of Oscillating Neurons. In H.G. Schuster, editor, Nonlinear Dynamics and Neuronal Networks, pages 173–204. VCH Verlag, Weinheim, 1991 (CP)

E. Niebur and P. Erdős. Theory of the Locomotion of Nematodes: Dynamics of undulatory progression on a solid surface. Biophysical Journal, 60:1132–1146, 1991. https://doi.org/10.1016%2FS0006-3495(91)82149-X

F. Wörgötter, E. Niebur, and C. Koch. Modeling visual cortex: Hidden anisotropies in an isotropic inhibitory connection scheme. In R. Eckmiller, editor, Advanced Neural Computers, pages 87–94. Elsevier Science Publ. B.V., 1990 (CP)

E. Niebur and F. Wörgötter. Circular inhibition: a new concept in long-range interactions in the mammalian visual cortex. In Proc. of the International Joint Conference on Neural Networks-San Diego, pages II–367 – II–372. IEEE, Piscataway, NJ, 1990 (CP)

E. Niebur and F. Wörgötter. Sharpening of orientation selective receptive fields in the mammalian visual cortex by long-range interactions. In H. Marburger, editor, German Workshop on Artificial Intelligence, pages 125–133. Springer Verlag, Berlin-NewYork, 1990 (CP)

E. Niebur and J. Solyom. Improved mean-field-like renormalisation group approach for Z(q) symmetric spin models. Journal of Physics A: Mathematical and General, 21:539–546, 1988. https://doi.org/10.1088/0305-4470/21/2/031

E. Niebur and P. Erdős. Computer simulation of networks of electrotonic neurons. In R.M. Cotterill, editor, Computer Simulation in Brain Science, pages 148–163. Cambridge University Press, Cambridge, 1988 (CP)

E. Niebur and J. Solyom. Mean-field-like variational and renormalisation group studies of (1+1)-dimensional spin models. Journal of Physics A: Mathematical and General, 20:2949–2959, 1987. https://doi.org/10.1088/0305-4470/20/10/037

G. Czycholl, H. Keiter, and E. Niebur. Infinite order Brillouin-Wigner perturbation theory of the mixed valent impurity. In P. Wachter, editor, Valence Instabilities, page 45. North Holland, Amsterdam, 1982 (CP)

Book Chapters

Ernst Niebur. Cell Membranes, Biological. Encyclopedia of Applied Electrochemistry, pages 159–163, 2014. https://dx.doi.org/10.1007/978-1-4419-6996-5_253

S. Mihalas, D. Millman, R. Iyer, A. Kirkwood, and E. Niebur. Non-conservative neuronal networks during up states self-organize near critical points. In D. Plenz and E. Niebur, editors, Criticality in Neural Systems, chapter 21, pages 435–464. Wiley VCH, 2014. https://doi.org/10.1002/9783527651009

D. Plenz and E. Niebur. Introduction. In D. Plenz and E. Niebur, editors, Criticality in Neural Systems, chapter 1. Wiley VCH, 2014. https://doi.org/10.1002/9783527651009

Daniel Millman and Ernst Niebur. Synthetic Spike Trains with Defined Pairwise Correlations. In Proceedings of the 57th session of the International Statistics Institute (ISBN: 978-90-73592-29-2), 2009

PN. Steinmetz, E. Niebur, SS. Hsiao, and Johnson KO. Attention to tactile stimuli increases neural synchrony in somatosensory cortex. In L. Itti, G. Rees, and J. Tsotsos, editors, Neurobiology of Attention, chapter 88, pages 534–537. Elsevier Academic Press, 2005. https://doi.org/10.1016/B978-012375731-9/50092-6

Derrick J Parkhurst and Ernst Niebur. Stimulus-driven guidance of visual attention in natural scenes. In L. Itti, G. Rees, and Tsotsos J., editors, Neurobiology of Attention, chapter 39, pages 240–245. Elsevier Academic Press, 2005. https://doi.org/10.1016/B978-012375731-9/50043-4

E. Niebur and C. Koch. Computational architectures for attention. In R. Parasuraman, editor, The Attentive Brain, chapter 9, pages 163–186. MIT Press, Cambridge, MA, 1998. https://mitpress.mit.edu/books/attentive-brain

M. Usher, M. Stemmler, and E. Niebur. The role of lateral connections in visual cortex: dynamics and information processing. In J. Sirosh, R. Mikkulainen, and Y. Choe, editors, Lateral Interactions in the Cortex. The UTCS Neural Networks Research Group, Austin, TX, 1996. https://nn.cs.utexas.edu/?sirosh:htmlbook96

E. Niebur and C. Koch. Modeling The “Where” Visual Pathway. In T. J. Sejnowski, editor, Proceedings of 2nd Joint Symposium on Neural Computation, Caltech–UCSD, volume 5, pages 26–35. Institute for Neural Computation, La Jolla, 1995

E. Niebur and P. Erdős. Control of the undulatory motion of vermiform robots. In G. Zobrist and C. V. Ho, editors, Robotics and Intelligent Systems, volume 3, chapter 2, pages 51–84. Ablex Publ. Co., Norwood NJ, 1995

E. Niebur and B. Olshausen. Neurophysiology, Psychophysics and Computational Models of Visual Attention. In J. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems, volume 6, pages 1167–1168. Morgan Kaufmann, San Mateo, 1994

E. Niebur and F. Wörgötter. Orientation column structures from first principles. In J. M Bower, editor, Computation and Neural Systems, chapter 62, pages 409–414. Kluwer, Norwell, MA, 1993. https://doi.org/10.1007/978-1-4615-3254-5_62

E. Niebur, F. Wörgötter, and C. Koch. Simulating the cat visual system on the Connection Machine. In Advanced Computing Laboratory, pages 80–81. Los Alamos National Laboratory, Los Alamos, 1992

E. Niebur, H. G. Schuster, and D. M. Kammen. Systems of Relaxation Oscillators with time-delayed coupling. In J.G. Taylor, E.R. Caianiello, R.M.J. Cotterill, and J.W. Clark, editors, Neural Network Dynamics, pages 226–233. Springer Verlag, London-Berlin-New York, 1992. https://doi.org/10.1007/978-1-4471-2001-8_16

P. Erdős and E. Niebur. The neural basis of the locomotion of nematodes. In L. Garrido, editor, Lecture Notes in Physics, volume 368, pages 253–267. Springer-Verlag, Berlin and Heidelberg, 1990. https://doi.org/10.1007/3540532676_54

Peer-Reviewed Educational Publications

E. Niebur. Neuronal Cable Theory. Scholarpedia, 3(5):2674, 2008. https://dx.doi.org/10.4249/scholarpedia.2674

E. Niebur. Electrical properties of cell membranes. Scholarpedia, 3(6):7166, 2008. https://dx.doi.org/10.4249/scholarpedia.7166

E. Niebur. The Saliency Map. Scholarpedia, 2(8):2675, 2007. https://dx.doi.org/10.4249/scholarpedia.2675

E. Niebur. Tout ce que vous avez toujours voulu savoir sur le ’X’ sans jamais avoir osé le demander (in French). Computer Forum, 6:33–38, 1989

Book

D. Plenz and E. Niebur, editors. Criticality in Neural Systems. Wiley VCH, 2014. https://doi.org/10.1002/9783527651009