Handbuch der physiologischen Optik

By P. Cz.. 1896

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Citations in the corpus

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? (2013, background): “, [47]), it is evident from human color perception that the achievement of color constancy involves local and global processes spanning all levels of the hierarchy, as already indicated by Helmholtz (see [198] and section 7.”
The Visual System's Internal Model of the World (2015, background): “While the detailed neural mechanisms of Bayesian inference are not fully understood, recent computational and neurophysiological works have illuminated the underlying computational principles and representational architecture.”
How Prediction Errors Shape Perception, Attention, and Motivation (2012, background): “Helmholtz famously viewed perception as the generation of a best guess (i.e., inference) about the state of the world, in view of the data (Von Helmholtz, 1867).”
How Do Expectations Shape Perception? (2018, background): “Because the information conveyed by our senses is both noisy and ambiguous, perception has often been conceptualized as a process of probabilistic inference in which the system decides on the most probable causes of our sensory inputs, based on the sensory data and prior expectations [3,100].”
The Effect of Imagination on Stimulation: The Functional Specificity of Efference Copies in Speech Processing (2013, methodology): “…efference copies using magnetoencephalography recordings in an unconventional pairing: We used a classical cognitive manipulation (mental imagery—to elicit internal simulation and estimation) with a well-established experimental paradigm (one shot repetition—to assess neuronal specificity).”
Online Extreme Evolutionary Learning Machines (2014, unknown): “The notion of the brain as fundamentally a prediction machine is an old idea (Helmholtz, 1860) that has recently been gaining traction within the cognitive science community (see e.g. Clark, 2013; Hawkins and Blakeslee, 2007).”
Reinforcement Learning or Active Inference? (2009, background): “. The second shows that minimizing the free-energy, by changing internal states, reduces the divergence between the recognition and posterior densities; rendering the recognition density an approximate conditional density. This corresponds to Bayesian inference on the causes of sensory signals and p”
Abnormalities in the awareness and control of action. (2000, methodology): “As the eye muscles are thought to contain no sensory receptors used to determine the gaze direction, Von Helmholtz (1886) proposed that the gaze direction is determined by predicting the eye location based on the e¡erence copy of the motor command going to the eye muscles.”
Canonical microcircuits for predictive coding. (2012, unknown): “…Friston8,* 1Center for Neuroscience 2Center for Mind and Brain 3Department of Neurology 4Department of Neurobiology, Physiology and Behavior 5Department of Psychology University of California, Davis, Davis, CA 95618 USA 6Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max…”