Lab Publications

Lab Publications


Antosh, M. et al. (2011) New comparative genomics approach reveals a conserved health span signature across species. Aging 3(6).

Yap, C.S. et al. (2011) Kinetic profiling of the c-Myc transcriptome and bioinformatic analysis of repressed gene promoters. Cell Cycle 10(13).

Antosh, M. et al. (2011) Comparative transcriptional pathway bioinformatic analysis of dietary restriction, Sir2, p53 and resveratrol life span extension in Drosophila. Cell Cycle 10(6): 904-11.

Wood, J.G. et al. (2010) Chromatin remodeling in the aging genome of Drosophila. Aging Cell 9(6): 971-978.

Jimenez, R.H. et al. (2010) Regulation of gene expression in hepatic cells by the mammalian Target of Rapamycin (mTOR) PLoS One 5(2): e9084.

Bauer, J. et al. (2010) Comparative transcriptional profiling identifies takeout as a gene that regulates life span. Aging 2(5).

Cooper, L.N. (2010) STDP: spiking, timing, rates and beyond. Front. Syn. Neurosci.  2(3).

Bazzani, A., Castellani, G.C. and Cooper L.N. (2010) Eigenvalue distributions for a class of covariance matrices with application to Bienenstock-Cooper-Munro neurons under noisy conditions. Phys Rev E.

Neskovic, P., Sherman, I., Wu, L. and Cooper, L.N. (2009) Learning faces with the BIAS model: On the importance of the sizes and locations of fixation …. Neurocomputing.

Castellani, G.C., Bazzani, A. and Cooper, L.N. (2009) Toward a microscopic model of bidirectional synaptic plasticity. Proc Natl Acad Sci USA 106(33): 14091-5.

Wang et al. Long-lived Indy and calorie restriction interact to extend life span. Proc Natl Acad Sci USA (2009) vol. 106 (23) pp. 9262-7

Gavornik et al. Learning reward timing in cortex through reward dependent expression of synaptic plasticity. Proc Natl Acad Sci USA (2009) vol. 106 (16) pp. 6826-31

Kalantzis et al. Evaluating statistical methods used to estimate the number of postsynaptic receptors. J Neurosci Methods (2009) vol. 178 (2) pp. 393-401

Neretti et al. Long-lived Indy induces reduced mitochondrial reactive oxygen species production and oxidative damage. Proc Natl Acad Sci USA (2009) vol. 106 (7) pp. 2277-82

Blais, B., Shouval, H.Z. and Cooper, L.N (2009) Effect of correlated lateral geniculate nucleus firing rates on predictions for monocular eye closure versus monocular retinal inactivation. Phys Rev E 80: 061915-1-061915-9.

Morrish, F. et al. (2008) The oncogene c-Myc coordinates regulation of metabolic networks to enable rapid cell cycle entry. Cell Cycle 7(8):1054–1066.

Blais, B.S. and Cooper, L.N. (2008) BCM theory. Scholarpedia 3(3):1570

Francesconi, M., et al. (2008) Reconstructing networks of pathways via significance analysis of their intersections. BMC Bioinformatics,  9 Suppl 4: p. S9.

Blais, B.S., et al. (2008) Recovery from monocular deprivation using binocular deprivation. J Neurophysiol 100(4): p. 2217-24.

Cooper, L.N. (2007) On the problem of consciousness. Neural Netw., 20(9): 1057-1058.

Wang, J., P. Neskovic, and Cooper, L.N. (2007) Improving nearest neighbor rule with a simple adaptive distance measure. Pattern Recognition Letters 28(2): p. 207.

Neskovic, P., et al. (2007)  How Important are the Sizes and Locations of Fixation Regions for the BIAS Model? in Natural Computation, 2007. ICNC 2007. Third International Conference on.

Cai, Y., et al. (2007) Effect of Stochastic Synaptic and Dendritic Dynamics on Synaptic Plasticity in Visual Cortex and Hippocampus. J Neurophysiol 97(1): p. 375-386.

Wang, J., Neskovic, P. and Cooper, L.N. (2007) Bayes classification based on minimum bounding spheres. Neurocomputing 70(4-6): p. 801.

Wang, J., Neskovic, P. and Cooper, L.N. (2006) Neighborhood size selection in the k-nearest neighbor rule using statistical confidence. Pattern Recognition 39 (3): 417-423.

Wang, J., Neskovic, P. and Cooper, L.N. (2006) Learning Class Regions by Sphere Covering. IBNS Technical Report 2006-02, Brown University.

Wang, J., Neskovic, P. and Cooper, L.N. (2006) A Minimum Sphere Covering Approach to Learning. IBNS Technical Report 2006-03, Brown University.

Neskovic, P., Wu, L. and Cooper, L.N.  (2006) Biologically Inspired Bayesian Approach for Learning Object Categories From Few Training Examples. IBNS Technical Report 2006-01, Brown University.

Kim, K., Neretti, N. and Intrator N. (2006) Video enhancement for underwater exploration using forward looking sonar, J.B. Talon, W. Philips, D. Popescu, and P. Scheunders (ed.) Advanced Concepts for Intelligent Vision Systems 2006, Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg 4179, pp. 554-563.

Wang, J., Neskovic, P. and Cooper, L.N. (2005) Pattern classification via single spheres. Lecture Notes in Computer Science: Discovery Science (DS), A. Hoffmann, H. Motoda, and T. Scheffer (Eds.), Springer-Verlag, Vol. 3735. pp. 241-252.

Wang, J., Neskovic , P. and Cooper, L.N. (2005)  A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern Classification. Lecture Notes in Computer Science: Advances in Machine Learning and Cybernetics (ICMLC), Vol. 3930, pp. 548-557.

Wang, J., Neskovic, P. and Cooper, L.N.  (2005) A Probabilistic Model For Cursive Handwriting Recognition Using Spatial Context. ICASSP, 2005.

Wang, J., Neskovic, P. and Cooper, L.N. (2005)  Training Data Selection for Support Vector Machines. Lecture Notes In Computer Science: Advances in Natural Computation (ICNC), L. Wang, K. Chen, Y. S. Ong (Eds.), Vol. 3610, pp. 554-564.

Wang, J., Neskovic, P. and Cooper, L.N.(2005) Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence. Lecture Notes In Computer Science: Advances in Natural Computation (ICNC), L. Wang, K. Chen, Y. S. Ong (Eds.),  Vol. 3610, pp. 71-80.

Wang, J., Neskovic, P. and Cooper, L.N.(2005) Pattern classification based on minimum bounding spheres. International Conference on Intelligent Computing (ICIC), pp. 1969 - 1978.

Steinherz, T. et al. (2005) An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, 27(5), pp. 669-684.

Remondini, D., et al. (2005) Targeting c-Myc-activated genes with a correlation method: Detection of global changes in large gene expression network dynamics. Proc Natl Acad Sci USA 102 (19): 6902-6906.

Neskovic, P., and Cooper, L.N. (2005) Visual Search for Object Features. Lecture Notes In Computer Science: Advances in Natural Computation (ICNC), L. Wang, K. Chen, Y. S. Ong (Eds.), Vol. 3610, pp. 877-887.

Kim, K., Neretti, N. and Intrator, N. (2005) Mosaicing of acoustic camera images. IEE Proceedings---Radar, Sonar and Navigation 152(4), pp. 263--270.

Kim, K., Neretti, N. and Intrator, N. (2005) Non-iterative construction of super-resolution image from an acoustic camera image sequence. in Proceedings of CIHSPS'05, pp. 105--111.

Wang, J., Neskovic, P. and Cooper, L.N. (2004) Context-based Tracking of Object Features. IJCNN 3: 1775-1779.

Simmons, J.A., et al. (2004)  Delay accuracy in bat sonar is related to the reciprocal of normalized echo bandwidth, or Q .  Proc Natl Acad Sci USA 101(10) pp. 3638-3643.

Neretti, N., N. Intrator and L N Cooper (2004) Adaptive pulse optimization for improved sonar range accuracy. IEEE Signal Processing Letters 11(4), pp. 409-412.

Neretti, N. , N. Intrator and Q. Huynh (2004) Sonar image enhancement via acoustic color. (abstract)  Acoustical Society Meeting, May 2004

Kim, K., N. Neretti, and N. Intrator (2004) Acoustic camera image mosaicing and super-resolution," in Proceedings of OCEAN'04, pp. 653-658.

Cooper, L. N., N. Intrator, B. Blais, and H. Shouval (2004) Theory of Cortical Plasticity. World Scientific Publishing: Singapore.

Yeung, L. C., B. Blais, L N Cooper and H. Shouval (2003) Metaplasticity and the Unified Calcium Model Lead to Input Selectivity in Spiking Neurons. Computational Neuroscience: Trends in Research. Amsterdam, Elsevier Science.



Yeung, L. C.et al. (2003) Calcium as the associative biochemical signal for a model of Hebbian plasticity: application to multi-input environments. Neurocomputing 52-4: 437-440.



Wang, J., P. Neskovic and L. N. Cooper (2003) Partitioning a feature space using a locally defined confidence measure. in Joint 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing , Istanbul: 200-203. 



Sanderson, M., N. Neretti, N. Intrator and J. A. Simmons (2003) Evaluation of an auditory model for echo delay accuracy in wideband biosonar. (abstract) J Acoust Soc Am 114(3): 1648-59.



Neskovic, P., L N Cooper, and D. Reilly (2003) Feedforward-Feedback Multiple Neural Networks With Context Driven Recognition. U.S. Patent 6,560,360.

Neskovic, P. and L N Cooper (2003) Providing context for edge extraction in application to detection of cars from video streams., in International Conference on Engineering Applications of Neural Networks, Malaga: 222-229.



Neskovic, P., D. Schuster and L N Cooper (2003) Biologically inspired recognition system for car detection from real-time video streams. Neural Information Processing: Research and Development, J. C. Rajapakse and L. Wang (eds.) , Springer - Verlag: 320-334. 



Neretti, N., M. I. Sanderson, N. Intrator and J. A. Simmons (2003) Time-frequency model for echo-delay resolution in wideband biosonar. J Acoust Soc Am 113(4 Pt 1): 2137-45. 



Edelman, S. Intrator, N. (2003) Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cognitive Science. 27: 331.



Edelman, S. and N. Intrator (2003) Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science 27(1): 73-109.



Cohen, S. and N. Intrator (2003)  A study of ensemble of hybrid networks with strong regularization. Multiple Classifier Systems, Proceedings. 2709: 227-235.

Bazzani, A.,et al. (2003) The effect of noise on a class of energy-based learning rules. Neural Comput 15(7): 1621-40.

Shouval, H. Z., et al. (2002) Converging evidence for a simplified biophysical model of synaptic plasticity. Biol Cybern 87(5-6): 383-91.



Shouval, H. Z., M. F. Bear and L. N. Cooper (2002) A unified model of NMDA receptor-dependent bidirectional synaptic plasticityProc Natl Acad Sci USA 99(16): 10831-6.



Remondini, D., et al. (2002) Optimal spontaneous activity in neural network modeling. Neurocomputing 44: 591-595.

Neretti, N. and N. Intrator (2002) An adaptive approach to wavelet filters design. in Proceedings of the 2002 12th IEEE Workshop on Neural Networks for Signal Processing.



Lee, A. B. (2002) Statistics, models and learning in BCM theory of a natural visual environment. Providence, RI, Brown University: xx, 145 leaves. (dissertation)
.

Edelman, S., N. Intrator and J. S. Jacobson (2002) Unsupervised learning of visual structure. Biologically Motivated Computer Vision, Proceedings 2525: 629-642.



Cohen, S. and N. Intrator (2002) Automatic model selection in a hybrid perceptron/radial network. Information Fusion 3: 259.



Cohen, S. and N. Intrator (2002) A hybrid projection-based and radial basis function architecture: Initial values and global optimisation. Pattern Analysis and Applications 5(2): 113-120.



Cohen, S. and N. Intrator (2002) Forward and backward selection in regression hybrid network. Multiple Classifier Systems 2364: 98-107.



Blais, B. (2002) Plasticity: A Synaptic Modification Simulation Environment. Demonstration in Neural Information Processing Systems: Natural and Synthetic, NIPS.

Neskovic, P. and L. N. Cooper (2001) Object segmentation using an array of interconnected neural networks with local receptive fields. International Joint Conference on Neural Networks IJCNN, 2001. Proceedings: 1983-1989.

Neskovic, P. and L. N. Cooper (2001) Using Contextual Information to Selectively Adjust Preprocessing Parameters. IWANN 2: 696-703.



Neretti, N. (2001) An adaptive approach to wavelet filter design. Providence, RI, Brown University: xi, 103 leaves. (dissertation).

Intrator, O. and N. Intrator (2001) Interpreting neural-network results: a simulation study. Computational Statistics & Data Analysis 37(3): 373-393.



Castellani, G.C., et al. (2001) A biophysical model of bidirectional synaptic plasticity: Dependence on AMPA and NMDA receptorsProc Natl Acad Sci USA 98(22): 12772-12777.

Steinherz, T., N. Intrator and E. Rivlin (2000) A special skeletonization algorithm for cursive words.  (abstract) IWFHR 7(Sept. 2000).



Stainvas, I. and N. Intrator (2000) Blurred face recognition via a hybrid network architecture. (abstract) in Proceedings of the 15th International Conference on Pattern Recognition, 2000.

Shouval, H. Z., et al. (2000) Structured long-range connections can provide a scaffold for orientation maps. J Neurosci 20(3): 1119-28.



Neskovic, P. and L. N. Cooper (2000) Neural Network Based Context Driven Recognition of On-line Cursive Script. in Procedings of the Seventh International Workshop on Frontiers in Handwriting Recognition.

Neskovic, P., P. C. Davis and L. N. Cooper (2000) Interactive Parts Model: An application to recognition of on-line cursive script. NIPS: 974-980.

Lee, A. B., et al. (2000) Statistics of lateral geniculate nucleus (LGN) activity determine the segregation of ON/OFF subfields for simple cells in visual cortexProc Natl Acad Sci USA  97(23): 12875-9.

Edelman, S. and N. Intrator (2000) (Coarse coding of shape fragments) + (Retinotopy) ˜ Representation of structure. Spatial Vision, VSP International Science Publishers. 13: 255.



Edelman, S. and N. Intrator (2000) A productive, systematic framework for the representation of visual structure. NIPS.



Edelman, S., B. P. Hiles, H. Yang and N. Intrator (2000) Probabilistic principles in unsupervised learning of visual structure: human data and a model. NIPS: 19-26.



Cooper, L. N. (2000) Memories and memory: A physicist's approach to the brain. International Journal of Modern Physics A 15(26): 4069-4082.

Cohen, S. and N. Intrator (2000) A hybrid projection based and radial basis function architecture. Multiple Classifier Systems 1857: 147-156.



Blais, B., L. N. Cooper and H. Shouval (2000) Formation of direction selectivity in natural scene environments. Neural Comput 12(5): 1057-66.
1999 (back to top)

Steinherz, T., N. Intrator and E. Rivlin (1999) Off-line cursive script word recognition - A survey. International Journal on Document Analysis and Recognition 2(2): 90-110.



Steinherz, T., N. Intrator and E. Rivlin (1999) Skew detection via principal components analysis. (abstract) in Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999.

Rittenhouse, C.D., et al. (1999) Monocular deprivation induces homosynaptic long-term depression in visual cortex. Nature 397(6717): 347-50.



Neskovic, P.and L. N. Cooper. (1999) Feedforward - Feedback Neural Networks for Segmentation and Recognition of On-Line Cursive Script. Neural Computation in Science and Technology.



Intrator, N., Q. Q. Huynh and G. Dobeck (1999). Feature Extraction and fusion of wide-band backscattered signals. Proceedings of SPIE.



Huynh, Q. Q., N. Neretti and N. Intrator (1999) An Integrated Approach to Discrimination and Target Recognition (website) USA-Italy Conference of Applied Neural and Cognitive Science, Boston, MA.

Goldberg, D. H., H. Shouval and L.N. Cooper (1999) Lateral connectivity as a scaffold for developing orientation preference maps. Neurocomputing 26-7: 381-387.

Castellani, G.C., et al. (1999) Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons. Network 10(2): 111-21.



Blais, B. S., H. Z. Shouval and L. N. Cooper (1999) The role of presynaptic activity in monocular deprivation: comparison of homosynaptic and heterosynaptic mechanismsProc Natl Acad Sci USA  96(3): 1083-7.



Avnimelech, R. and N. Intrator (1999) Boosted mixture of experts: an ensemble learning scheme. Neural Comput 11(2): 483-97.



Avnimelech, R. and N. Intrator (1999) Boosting regression estimators. Neural Comput 11(2): 499-520.



Artun, O. B. (1999) Implications of dynamic synapses on synaptic plasticity and neural coding: xiv, 119 leaves. (dissertation).

Shimshoni, Y. and N. Intrator (1998) Classification of seismic signals by integrating ensembles of neural networks." in IEEE Transactions on Signal Processing, [see also IEEE Transactions on Acoustics, Speech, and Signal Processing ] 46(5): 1194-1201.



Intrator, N. (1998) Representation of similarities and correspondence structure. Behavioral & Brain Sciences 21: 475.



Huynh, Q. Q., et al. (1998) Image Enhancement for Pattern Recognition. Proceedings of SPIE.



Huynh, Q. Q., et al. (1998) Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory. IEEE Transactions on Signal Processing 46(5): 1202-1207.



Horn, D., U. Naftaly and N. Intrator (1998) Large ensemble averaging. Neural Networks: Tricks of the Trade 1524: 133-139.



Blais, B. S. I., N. Shouval, H. Cooper, L. N. (1998) Receptive field formation in natural scene environments: Comparison of single-cell learning rules. Neural Computation 10: 1797.

Blais, B. S. (1998) The role of the environment in synaptic plasticity : towards an understanding of learning and memory: xvii, 207 leaves. (dissertation) 
.

Bear, M. F. and L. N. Cooper (1998) From molecules to mental states. Daedalus 127(2): 131-144.



Artun, O. B., H. Z. Shouval and L. N. Cooper (1998) The effect of dynamic synapses on spatiotemporal receptive fields in visual cortexProc Natl Acad Sci USA  95(20): 11999-12003.

Tankus, A., Y. Yeshurun and N. Intrator (1997) Face detection by direct convexity estimation. Pattern Recognition Letters 18(9): 913-922.



Shouval, H., N. Intrator and L. N. Cooper (1997) BCM network develops orientation selectivity and ocular dominance in natural scene environment. Vision Res 37(23): 3339-42.



Shouval, H. and O. B. Artun (1997) Can stochastic neurons support spatio-temporal codes. Proceedings of CNS 97, Kluwer Academic Publishing.



Naftaly, U., N. Intrator and D. Horn (1997). Optimal ensemble averaging of neural networks. Network-Computation in Neural Systems 8(3): 283-296.

Intrator, O., Intrator, N. (1997) Robust Interpretation of Neural-Network Models. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics.

Intrator, N., Q. Q. Huynh, Y. S. Wong and B. H. K. Lee (1997) Wavelet Feature Extraction for Discrimination Tasks. Proceedings of the 1997 Canadian Workshop on Information Theory.



Intrator, N., Q. Q. Huynh and G. Dobeck (1997) Feature extraction from acoustic back-scattered signals using wavelet dictionaries. Proceedings of SPIE97.



Intrator, N. and S. Edelman (1997) Learning low-dimensional representations via the usage of multiple-class labels. Network-Computation in Neural Systems 8(3): 259-281.



Intrator, N. and S. Edelman (1997) Competitive learning in biological and artificial neural computation. Trends in Cognitive Sciences 1(7): 268-272.



Intrator, N. (1997) Robust prediction in many-parameter models: Specific control of variance and bias. In Statistics and Neural Networks: Advances at the Interface. J. W. Kay and D. M. Titterington, Oxford University Press.

Intrator, N. (1997) Neuronal Goals: Efficient Coding and Coincidence Detection. Proceedings of ICONIP Hong Kong. Progress in Neural Information Processing: 29-34.



Edelman, S. and N. Intrator (1997) Learning as formation of low dimensional representation spaces. Proc. 19th The Cognitive Science Meeting. J. Elman: 199-204.



Edelman, S. and N. Intrator (1997) Learning as Extraction of low-dimensional representations. Perceptual Learning. R. Goldstone, D. Medin and P. Schyns, Academic Press. 36: 353-380.

Blais, B., et al. (1997) Receptive field formation in natural scene environment: comparison of kurtosis, skewness, and the quadratic form of BCM. Proceedings of Neural Information Processing.

Bazzani, A., et al. (1997) Learning with a BCM Neuron Presented with Stochastic Stimula. Proceedings of the Arcidosso Conference of Theoretical Biology.

Wiig, K., L. Cooper and M. Bear (1996) Temporally Graded Retrograde Amnesia Following Separate and Combined Lesions of the Perirhinal Cortex and Fornix in the Rat." (abstract) Learn. Mem. 3(4): 313-325.

Shouval, H. and Y. Liu (1996) Principal component neurons in a realistic visual environment. Network-Computation in Neural Systems 7(3): 501-515.



Shouval, H., N. Intrator, C. C. Law and L. N. Cooper (1996) Effect of binocular cortical misalignment on ocular dominance and orientation selectivity. Neural Comp 8(5): 1021-40.



Shouval, H., N. Intrator and L. N. Cooper (1996) Effect of binocular misalignment on networks of plastic neurons. The Neurobiology of Computation: Proceedings of the fifth CNS Conference.



Shouval, H. and L. N. Cooper (1996) Organization of receptive fields in networks with Hebbian learning: the connection between synaptic and phenomenological models. Biol Cybern 74(5): 439-47.

Shimshoni, Y. and N. Intrator (1996) Classification of seismic waveforms by integrating ensembles of neural networks. Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

Intrator, N. and S. Edelman (1996) How to make a low-dimensional representation suitable for diverse tasks. (abstract) Connection Science, Special issue: Reuse of Neural Networks through Transfer 8: 205-224.

Castellani, G.C., et al. (1996) Forecasting of Lactation Curves Using Neural Networks. Proceedings of SISVET.

Blais, B., H. Shouval and L. N. Cooper (1996) Dynamics of synaptic plasticity: A comparison between models and experimental results in visual cortex. The Neurobiology of Computation: Proceedings of the fifth annual CNS Conference, Plenum Publishing Corporation.

Shouval, H. and M. P. Perrone (1995) Post Hebbian learning rules. The Handbook of Brain Theory and Neural Networks. Cambridge, MA, MIT Press.



Shouval, H. and L. N. Cooper (1995) LTP, LTD and cortical receptive fields: What do they tell us about synaptic modification? Current Issues in LTP and LTD. J. Davis and M. Baudry, MIT Press. 3.

Shouval, H. (1995) Formation and organization of receptive fields, with an input environment composed of natural scenes: ix, 126 leaves. (dissertation)

Perrone, M. P. and B. Blais (1995) Regression NSS: An alternative to cross validation. COLT: 385-391.



Intrator, N., S. Edelman and H. H. Bulthoff (1995) An Integrated Approach to the Study of Object Features in Visual Recognition. Network-Computation in Neural Systems 6(4): 603-618.



Cooper, L. N. (1995). How we learn, how we remember: toward an understanding of brain and neural systems : Selected papers of Leon N Cooper. World Scientific: Singapore; River Edge, N.J.

Shouval, H., N. Intrator, C. C. Law and L. N. Cooper (1994) Effect of eye misalignment on receptive field formation in realistic visual environment. Society for Neuroscience.

Seebach, B. S., N. Intrator, P. Lieberman and L. N. Cooper (1994) A model of prenatal acquisition of speech parametersProc Natl Acad Sci  USA 91(16): 7473-6.

Perrone, M. P. and L. N. Cooper (1994) The Ni1000: High speed parallel VLSI for implementing multilayer perceptrons. NIPS: 747-754.



Neskovic, P. and B. B. Kimia (1994) Three-dimensional shape representation from curvature dependent surface evolution. (abstract) Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference.



Naftaly, U., et al. (1994) Averaged and decorrelated neural networks as a time-series predictor. Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on.



Liu, Y. and H. Shouval (1994) Localized Principal Components of Natural Images - an Analytic Solution. Network-Computation in Neural Systems 5(2): 317-324.



Law, C. C. and L. N. Cooper (1994) Formation of Receptive-Fields in Realistic Visual Environments According to the Bienenstock, Cooper, and Munro (BCM) Theory. Proc Natl Acad Sci USA 91(16): 7797-7801.



Law, C. C., M. F. Bear and L. N. Cooper (1994) Role of the Visual Environment in the Formation of Receptive-Fields According to the BCM Theory. Self-Organizing Brain: From Growth Cones to Functional Networks. 102: 287-301.



Intrator, N., D. Reisfeld and Y. Yeshurun (1994) Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on.

Intrator, N. and J. I. Gold (1993) 3-Dimensional Object Recognition Using an Unsupervised BCM Network - the Usefulness of Distinguishing Features. Neural Computation 5(1): 61-74.

Intrator, N. (1993) Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks Neural Computation 5(3): 443-455.

Intrator, N. (1993) On the combination of supervised and unsupervised learning. Physica A: Statistical and Theoretical Physics 200(1-4): 655-661.

Tajchman, G. N., Intrator, N. (1992) Phonetic Classification of {TIMIT} Segments Pre-processed with Lyon's Cochlear Model Using A Supervised/Unsupervised Hybrid Neural Network. Proceedings International Conference on Spoken Language Processing.



Perrone, M. P. and N. Intrator (1992) Unsupervised splitting rules for neural tree classifiers. International Joint Conference on Neural Networks, 1992.



Intrator, N. and L. N. Cooper (1992) Objective Function Formulation of the BCM Theory of Visual Cortical Plasticity - Statistical Connections, Stability Conditions. Neural Networks 5(1): 3-17.

Intrator, N. (1992) On the use of projection pursuit constraints for training neural networks. NIPS: 3-10.

Intrator, N. (1992) Feature-Extraction Using an Unsupervised Neural Network. Neural Computation 4(1): 98-107.

Intrator, N. and G. Tajchman (1991) Supervised and unsupervised feature extraction from a cochlear model for speech recognition. Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop.



Intrator, N., et al. (1991) 3D object recognition using unsupervised feature extraction. NIPS: 460-467.



Intrator, N. (1991) Feature extraction using an exploratory projection pursuit neural network: vii, 100 leaves. (dissertation)



Clothiaux, E. E., M. F. Bear and L. N. Cooper (1991) Synaptic Plasticity in Visual-Cortex - Comparison of Theory with Experiment. Journal of Neurophysiology 66(5): 1785-1804.