Emergence of disparity tuning during the development of vergence eye movements

2007 IEEE 6th International Conference on Development and Learning, ICDL

Volumn , Issue , 2007, Pages 31-36

  Franz, Arthur ^a   Trieseh, Jochen ^a  

^a FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

Author keywords

Disparity tuning; Natural images; Neural network; Reinforcement learning; Vergence

Indexed keywords

NEURAL NETWORKS; PERSONNEL TRAINING; REINFORCEMENT LEARNING;

DRIVING BEHAVIOR; HIDDEN LAYERS; NATURAL IMAGES; TUNING CURVE; VERGENCE EYE MOVEMENTS; VERGENCES;

EYE MOVEMENTS;

EID: 50849101038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEVLRN.2007.4354029     Document Type: Conference Paper

References (15)

1. S. Becker, G. E. Hinton, "Spatial Coherence as an Internal Teacher for a Neural Network", In: "Backpropagation: Theory, Architectures and Applications", Chauvin and D. Rumelhart (eds), Hillsdale, NJ: Lawrence Erlbaum Associates, pp. 313-349, 1995
2. A. Grunewald, S. Grossberg, "Self-organization of binocular disparity tuning by reciprocal corticogeniculate interactions", J Cog Neuro, vol. 10, no. 2, pp. 199-215, 1998
3. R. Held, E. Birch, J. Gwiazda, "Stereoacuity of Human Infants", PNAS 1980; 77; 5572-5574 DOI: 10.1073/pnas.77.9.5572
4. J. Lippert, D. J. Fleet, H. Wagner, "Disparity tuning as simulated by a neural net", Biol Cybern, vol. 83, pp. 61-72, 2000
5. S. R. Lehky, T. J. Sejnowski, "Neural Model of Stereoacuity and Depth Interpolation Based on a Distributed Representation of Stereo Disparity", J Neurosci, vol. 70, no. 7, pp. 2281-2299, July 1990
6. A. Nieder, H. Wagner, "Horizontal-disparity tuning of neurons in the visual forebrain of the behaving Bam Owl", J Neurophysiol, vol. 83, pp. 2967-2979, 2000
7. M. Nomura, G. Matsumoto, S. Fujiwara, "A Binocular Model for the Simple Cell", Biol Cybern, vol. 63, pp. 237-242, 1990
8. G. F. Poggio, F. Gonzalez, F. Krause, "Stereoscopic Mechanisms in Monkey Visual Cortex: Binocular Correlation and Disparity Selectivity", J Neurosci, vol. 8, pp. 4531-4550, December 1988
9. P. R. Roelfsema, A. van Ooyen, "Attention-Gated Reinforcement Learning of Internal Representations for Classification", Neural Comput, vol. 17, pp. 2176-2214, 2005
10. E. Salinas, "How Behavioral Constraints May Determine Optimal Sensory Representations", PLoS Biol 4(12): e387. DOI: 10.1371/journal.pbio. 0040387, 2006
11. A. Schoups, R. Vogels, N. Qian, G. A. Orban, "Practising orientation identification improves orientation coding in V1 neurons", Nature, vol. 412, pp. 549553, 2001
12. N. N. Schraudolph, T. J. Sejnowski, "Competitive Anti-Hebbian Learning of Invariants", In J. E. Moody, S. J. Hanson, R. P. Lippmann (eds), NIPS, vol. 4. Morgan Kaufmann, San Mateo, pp. 1017-1024, 1992
13. E. P. Simoncelli, B. A. Olshausen, "Natural Image Statistics and Neural Representation", Annu Rev Neurosci, vol. 24, pp. 1193-1216, 2001
14. J. Triesch, "The Role of a priori Biases in Unsupervised Learning of Visual Representations: A Robotics Experiment", DECO-2001, July 2001
15. E. A. Vessel, I. Biederman, M.S. Cohen, "How opiate activity may determine spontaneous visual selection", JoV, vol. 3, no. 9, p. 6a, 2003