Categorical Perception: A Groundwork for Deep Learning
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[1] Y. Zhang,et al. Sensory-to-Category Transformation via Dynamic Reorganization of Ensemble Structures in Mouse Auditory Cortex , 2019, Neuron.
[2] Petri Koistinen,et al. Using additive noise in back-propagation training , 1992, IEEE Trans. Neural Networks.
[3] K. Jarrod Millman,et al. Array programming with NumPy , 2020, Nat..
[4] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[5] Nikolaus Kriegeskorte,et al. Individual differences among deep neural network models , 2020, Nature Communications.
[6] C. C. Wood. Discriminability, response bias, and phoneme categories in discrimination of voice onset time. , 1976, The Journal of the Acoustical Society of America.
[7] Yoshua Bengio,et al. Understanding intermediate layers using linear classifier probes , 2016, ICLR.
[8] C. Koch,et al. Category-specific visual responses of single neurons in the human medial temporal lobe , 2000, Nature Neuroscience.
[9] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[10] H. Lane,et al. THE MOTOR THEORY OF SPEECH PERCEPTION: A CRITICAL REVIEW. , 1965, Psychological review.
[11] P. Kuhl,et al. Perceptual magnet and phoneme boundary effects in speech perception: Do they arise from a common mechanism? , 2000, Perception & psychophysics.
[12] Christopher M. Bishop,et al. Training with Noise is Equivalent to Tikhonov Regularization , 1995, Neural Computation.
[13] Richard E. Blahut,et al. Principles and practice of information theory , 1987 .
[14] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[15] Eleanor M. Caves,et al. Categorical perception of colour signals in a songbird , 2018, Nature.
[16] Christian Van den Broeck,et al. Statistical Mechanics of Learning , 2001 .
[17] Claude Alain,et al. Tracing the emergence of categorical speech perception in the human auditory system , 2013, NeuroImage.
[18] E. Chang,et al. Categorical Speech Representation in Human Superior Temporal Gyrus , 2010, Nature Neuroscience.
[19] Joel Nothman,et al. SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.
[20] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[21] S. Moreau,et al. What Is Discrimination , 2010 .
[22] David J. Freedman,et al. A Comparison of Primate Prefrontal and Inferior Temporal Cortices during Visual Categorization , 2003, The Journal of Neuroscience.
[23] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[24] H Sompolinsky,et al. Simple models for reading neuronal population codes. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[25] W. D. Ward,et al. Categorical perception--phenomenon or epiphenomenon: evidence from experiments in the perception of melodic musical intervals. , 1978, The Journal of the Acoustical Society of America.
[26] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[27] James L. McClelland,et al. The parallel distributed processing approach to semantic cognition , 2003, Nature Reviews Neuroscience.
[28] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[29] Christian K. Machens,et al. The geometry of the representation of decision variable and stimulus difficulty in the parietal cortex , 2021, bioRxiv.
[30] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, ICLR.
[31] Guozhong An,et al. The Effects of Adding Noise During Backpropagation Training on a Generalization Performance , 1996, Neural Computation.
[32] B. Repp. Categorical Perception: Issues, Methods, Findings , 1984 .
[33] H. Lane,et al. IDENTIFICATION AND DISCRIMINATION FUNCTIONS FOR A VISUAL CONTINUUM AND THEIR RELATION TO THE MOTOR THEORY OF SPEECH PERCEPTION. , 1965, Journal of experimental psychology.
[34] David J. Freedman,et al. Categorical representation of visual stimuli in the primate prefrontal cortex. , 2001, Science.
[35] Vaibhava Goel,et al. Annealed dropout training of deep networks , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[36] Keiji Tanaka,et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey , 2008, Neuron.
[37] M. Bornstein,et al. Discrimination and matching within and between hues measured by reaction times: some implications for categorical perception and levels of information processing , 1984, Psychological research.
[38] Yoshua Bengio,et al. Better Mixing via Deep Representations , 2012, ICML.
[39] Sompolinsky,et al. Statistical mechanics of learning from examples. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[40] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[41] Qiang Chen,et al. Network In Network , 2013, ICLR.
[42] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[43] S. Grossberg,et al. Neural network models of categorical perception , 2000, Perception & psychophysics.
[44] H. Goto,et al. Auditory perception by normal Japanese adults of the sounds "L" and "R". , 1971, Neuropsychologia.
[45] A. Liberman,et al. An Effect of Learning on Speech Perception: The Discrimination of Durations of Silence with and without Phonemic Significance , 1961 .
[46] S. Harnad. Categorical Perception: The Groundwork of Cognition , 1990 .
[47] J. Nadal,et al. Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer Network 5 , 1994 .
[48] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[49] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[50] René Vidal,et al. Curriculum Dropout , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[51] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[52] G. Cottrell,et al. A Simple Neural Network Models Categorical Perception of Facial Expressions , 1998 .
[53] Paavo Camps,et al. Don't ignore Dropout in Fully Convolutional Networks , 2019, ArXiv.
[54] Matthew H Tong,et al. Why is the fusiform face area recruited for novel categories of expertise? A neurocomputational investigation , 2008, Brain Research.
[55] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[56] Adriaan G. Tijsseling,et al. Warping Similarity Space in Category Learning by Backprop Nets , 1997 .
[57] Laurent Bonnasse-Gahot,et al. Perception of categories: From coding efficiency to reaction times , 2011, Brain Research.
[58] Nojun Kwak,et al. Analysis on the Dropout Effect in Convolutional Neural Networks , 2016, ACCV.
[59] B. C. Griffith,et al. The discrimination of speech sounds within and across phoneme boundaries. , 1957, Journal of experimental psychology.
[60] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[61] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[62] Jean-Pierre Nadal,et al. Neural coding of categories: information efficiency and optimal population codes , 2008, Journal of Computational Neuroscience.
[63] Stephen A. Ritz,et al. Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .
[64] Pascal Vincent,et al. Dropout as data augmentation , 2015, ArXiv.
[65] A. Lotto,et al. Role of experience for language-specific functional mappings of vowel sounds. , 1998, The Journal of the Acoustical Society of America.
[66] Naftali Tishby,et al. Opening the Black Box of Deep Neural Networks via Information , 2017, ArXiv.
[67] Dazhi Zhao,et al. Equivalence between dropout and data augmentation: A mathematical check , 2019, Neural Networks.
[68] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[69] F. Keil,et al. Categorical effects in the perception of faces , 1995, Cognition.
[70] Kiyotoshi Matsuoka,et al. Noise injection into inputs in back-propagation learning , 1992, IEEE Trans. Syst. Man Cybern..
[71] Wes McKinney,et al. Data Structures for Statistical Computing in Python , 2010, SciPy.
[72] Robert L. Goldstone. Influences of categorization on perceptual discrimination. , 1994, Journal of experimental psychology. General.
[73] P. Marler,et al. Categorical perception of a natural stimulus continuum: birdsong. , 1989, Science.
[74] David J. Freedman,et al. Dynamic population coding of category information in inferior temporal and prefrontal cortex. , 2008, Journal of neurophysiology.