Additive logistic regression applied to retina modelling

Proceedings - International Conference on Image Processing, ICIP

Volumn 3, Issue , 2006, Pages

  Martins, Sérgio F ^a   Sousa, Leonel A ^a   Martins, João C ^b  

^a UNIVERSITY OF LISBON   (Portugal)

^b INSTITUTO POLITÉCNICO DE BEJA   (Portugal)

Author keywords

Additive models; Nonlinear functionals; Retina model; Spike triggered analysis

Indexed keywords

COVARIANCE MATRIX; DIGITAL IMAGE STORAGE; FUNCTIONS; IMAGE PROCESSING; IMAGING SYSTEMS;

ADDITIVE MODELS; ERROR MEASURES; HUMAN VISUAL SYSTEMS; LOGISTIC REGRESSIONS; NONLINEAR FUNCTIONALS; NONLINEAR MECHANISMS; RETINA MODEL; SPIKE-TRIGGERED ANALYSIS; VISUAL PROSTHESES;

MATHEMATICAL MODELS;

EID: 48149103257     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379308     Document Type: Conference Paper

References (11)

1. E.J. Chichilnisky, "A simple white noise analysis of neuronal light responses," Network: Computation in Neural Systems, vol. 12, no. 2, pp. 199-213, 2001.
2. J.W. Pillow and E.P. Simoncelli, "Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis," Journal of Vision, vol. 6, no. 4, pp. 414-428, 2006.
3. L. Paninski, J.W. Pillow, and E.P. Simoncelli, "Maximum Likelihood Estimation of a Stochastic Integrateand-Fire Neural Encoding Model," Neural Computation, vol. 16, no. 12, pp. 2533-2561, 2006.
4. H. Kolb, "How the retina works," American Scientist, vol. 91, no. 1, pp. 28-35, 2003.
5. O. Schwartz, E.J. Chichilnisky, and E.P. Simoncelli, "Characterizing neural gain control using spiketriggered covariance," Adv. Neural Information Processing Systems (NIPS* 01), vol. 14, pp. 269-276, 2002.
6. T. Hastie, R. Tibshirani, J. Friedman, et al., The elements of statistical learning: data mining, inference, and prediction, Springer, 2001.
7. T.J. Hastie, Generalized Additive Models, Chapman & Hall/CRC, 1990.
8. M.J. Berry and M. Meister, "Refractoriness and Neural Precision," Journal of Neuroscience, vol. 18, no. 6, pp. 2200-2211, 1998.
9. J. Keat, P. Reinagel, R.C. Reid, and M. Meister, "Predicting Every Spike A Model for the Responses of Visual Neurons," Neuron, vol. 30, no. 3, pp. 803-817, 2001.
10. J.D. Victor and K.P. Purpura, "Metric-space analysis of spike trains: theory, algorithms and application," Network: Computation in Neural Systems, vol. 8, no. 2, pp. 127-164, 1997.
11. J.C. Martins and L.A. Sousa, "Performance comparison of computational retina models," International Conference on Visualization, Imaging and Image Processing, pp. 156-161, 2005.