Eye, brain and vision

By S. Sutherland. 1993

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Citations in the corpus

Interactive machine learning for health informatics: when do we need the human-in-the-loop? (2016, background): “So to learn one bit per second is of not much use, and the only way to achieve 10 5 bits per second is from the input itself, so the plausible way to deliver such input is massive parallelism, rather than raw speed of the computing elements [3, 18, 19].”
SPIKING NEURON MODELS Single Neurons , Populations , Plasticity (2002, background): “For example, neurons in the primary visual cortex of cats and monkeys are arranged in columns of cells with similar properties (Hubel and Wiesel, 1962, 1977; Hubel, 1988).”
A Hierarchy of Temporal Receptive Windows in Human Cortex (2008, background): “It is well established that neurons along the visual cortical pathways have increasingly larger spatial receptive fields (Hubel, 1988).”
The Innate Mind: Structure and Contents (2005, background): “Moreover, to function properly, such systems require adequate access and exposure to the appropriate environmental input that triggers or enables them; otherwise they tend to degenerate (Hubel, 1988).”
Towards a Mathematical Theory of Cortical Micro-circuits (2009, background): “This arrangement corresponds to one of the basic organizing principles of the visual system where neurons in higher-level visual areas receive inputs from many neurons with smaller receptive fields in lower-level visual areas [36].”
Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences (2015, methodology): “The spatial hierarchy of the receptive fields for the MSTNN is analogous to the organization observed in the mammalian visual cortex [17], and there is evidence for the assumed temporal hierarchy of progressively slower time-scale dynamics of the MSTNN in the human visual cortex [18].”
From the neuron doctrine to neural networks (2015, background): “Particularly influential were the discoveries of topographically organized receptive fields in cortical ‘columns’ described by Mountcastle 26 and by Hubel and Wiesel 7,27 .”
On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. (2009, background): “Hubel (1995) also considered the implications of this hierarchal organization within early vision and rejected the idea that the hierarchy could continue to the level of grandmother cells.”
Finding People in Images and Videos (2006, background): “Support comes from studies of the mammalian visual system: the first level of visual coding in mammals involves the computation of dense and overlapping centre-surround receptive-fields of different scales [Fischer 1973, Hubel and Wiesel 1974, Hubel 1995, Chapter 3].”
Perceptual and Cognitive Skill Development in Soccer: The Multidimensional Nature of Expert Performance (2003, background): “Current understanding suggests that the visual system develops throughout itifancy and early childhood (Hubel, 1988).”
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, background): “The eye and the relevant parts of the brain work together extremely rapidly to acquire the image, analyze and interpret it (Hubel, 1995).”
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story (2011, background): “It is a basic organizing principle of the visual system that neurons along cortical visual pathways have increasingly large spatial receptive fields (Hubel, 1988); neurons in higher-level visual areas receive input from many neurons with smaller receptive fields in early visual areas, and thereby…”
TRoPICALS: a computational embodied neuroscience model of compatibility effects. (2010, background): “visual images, from simple edge detection (Hubel, 1988) to complex feature recognition (Vinberg & Grill-Spector, 2008).”