Perceptions as hypotheses.
By R. Gregory. 1980
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Karl J. Friston
- Andy Clark
- Wanja Wiese
- Danijar Hafner
- Jorie Koster-Hale
- ChrisD . Frith
- Sergey Levine
- Yoshua Bengio
Citations in the corpus
- Theory of Mind: A Neural Prediction Problem (2013, positive): “In fact, predictive coding was initially suggested as a model for visual perception (Barlow, 1961; Gregory, 1980; Mumford, 1992), using a visual error code that preferentially encodes unexpected visual information.”
- The sense of self in the phenomenology of agency and perception (2007, background): “(This idea of perceptual inference goes back to at least Helmholtz (1860), see also (MacKay 1956; Neisser 1967; Gregory 1980; Mumford 1992)).”
- A Process Model of the Formation of Spatial Presence Experiences (2007, methodology): “should be colored and textured in accordance with the user’s spatial knowledge, in order to be accepted as “spatial building blocks” and applied to the construction of a coherent SSM (Gregory, 1980; Neisser, 1976; Slater, 2002).”
- Vanilla PP for Philosophers: A Primer on Predictive Processing (2017, background): “Richard Gregory’s classic paper “Perceptions as hypotheses” famously probes the idea that percepts explain sensory signals, and that they have predictive power (Gregory 1980, pp. 182, 186).”
- A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes (2014, unknown): “One compelling answer has been advanced by the predictive coding theory of vision (Gregory, 1980; Rao and Ballard, 1999; Lee and Mumford, 2003; Yuille and Kersten, 2006; Bastos et al., 2012). ing to this theory feedback corresponds to the outputs of an internal, hierarchical model of the visual…”
- Life as we know it (2013, unknown): “In statistics and machine learning, this is known as approximate Bayesian inference and provides a normative theory for the Bayesian brain hypothesis [16–20].”
- 9 Perceiving Animacy and Intentionality: Visual Processing or Higher-Level Judgment? (2013, background): “…case of depth, this is because the light that enters the eyes is insufficient to deductively infer depth without the additional use of 'unconscious inferences' about the source of the visual stimulation (e.g. Gregory, 1980; Rock, 1983) — often in the form of heuristic assumptions about the world.”
- Predictive Processing: A Canonical Cortical Computation (2018, unknown): “Prediction error neurons and internal representation neurons At the core of all predictive processing theories is the idea that the brain develops a generative model of the world that it uses to predict sensory input (Barlow H.B., 1961; Craik, 1943; Gregory, 1980).”
- When the world becomes 'too real': a Bayesian explanation of autistic perception. (2012, background): “Gregory [33] advanced a similar idea, that perception is an active process of”
- The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective (2016, methodology): “These ideas have been influential inmore recent years in thework of the perceptual psychologist Gregory (1980) and the cognitive neuroscientist Frith (2007).”
- The Theory-Based View: Economic Actors as Theorists (2017, unknown): “The powerful human corollary of this Suchbild—the directed and species-specific nature of perception and observation—is captured by the questions, hypotheses, and theories that shape human awareness and observation (cf. Gregory, 1980, 2005).”
- Canonical microcircuits for predictive coding. (2012, unknown): “This notion builds on a long history of proposals that the brain uses internal or generative models to make inferences about the causes of its sensorium (Helmholtz, 1860; Gregory, 1968, 1980; Dayan et al., 1995).”
- REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “…preserved but enhanced with increased 5-HT2AR stimulation (King et al., 1972; Welsh et al., 1998; Harvey, 2003; Harvey et al., 2004; Romano et al., 2006, 2010; Gresch et al., 2007; Zhang et al., 2013), whereas conventional higher-level cognition is unsurprisingly impaired (Bayne and Carter, 2018).”