Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?

By H. Barlow. 1972

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Citations in the corpus

Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, background): “Such approaches include ART-type architectures [90], emergent category-specific modularity [93], hard-wired modularity [94], and also ideas involving grandmother cells [95] or, in technical terms, look-up-tables [16].”
Grandmother cells and localist representations: a review of current thinking (2017, background): “…indeed, a small group of theorists have at least considered grandmother cells as a serious hypothesis that should not be dismissed out of hand (e.g. Barlow, 1972; Bowers, 2002; Elliott & Susswein, 2002; Gross, 2002; Newsome, Britten, & Movshon, 1989; Page, 2000; Perrett et al., 1989; Thorpe, 1989,…”
Conceptual representations in mind and brain: theoretical developments, current evidence and future directions. (2012, background): “In contrast, evidence supporting a local representation of concepts is difficult to find for practical reasons, especially if localist representations are understood as single neuronal units (Barlow, 1972).”
Surprise signals in anterior cingulate cortex: Neuronal encoding of unsigned reward prediction errors driving adjustment in behavior (2011, background): “More generally, these results strongly suggest that reward coding in dACC is not of a labeled line type, but is highly contextdependent (Adrian and Matthews, 1927; Barlow, 1972).”
Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex (2009, unknown): “One metric that has recently seen increasing attention is sparseness (Barlow, 1972; Olshausen and Field, 2004).”
Memory Capacities for Synaptic and Structural Plasticity (2010, methodology): “We also refer to the look-up table as a grandmother cell model (or briefly grandmother model; cf. Knoblauch, 2005; Barlow, 1972) because its biological interpretation corresponds to a two-layer architecture where an intermediary population contains M neurons, one “grandmother” cell for each stored a”
Locating object knowledge in the brain: comment on Bowers's (2009) attempt to revive the grandmother cell hypothesis. (2010, background): “On the basis of a broad range of arguments and evidence, many neuroscientists and psychologists since Barlow (1972) have rejected the notion that individual neurons would correspond to entities as complicated as one’s grandmother and instead accept that the brain uses some form of distributed repres”
Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet (2012, background): “…brain function is whether a particular object (or face) is represented in the brain by the firing of one or a few gnostic (or“grandmother”) cells (Barlow, 1972), or whether instead the firing of a group or ensemble of cells each with somewhat different responsiveness provides the…”
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated. (2016, unknown): “Finally, we have highlighted the broad applicability of the principles of CLS theory to developing agents with arti ﬁ cial intelligence, an area which we hope will continue to rise in interest and become a signi ﬁ cant direction for future research (see Outstanding Questions).”
The cortical dynamics of speaking: present shortcomings and future avenues (2016, background): “…in cognitive neuroscience where sensorial, motor and cognitive events are argued to come about in the brain through sequential bottom-up propagation of information along a hierarchy of dedicated processing centres (e.g. Barlow, 1972; Fodor, 1983; Hubel & Wiesel, 1965; Marr, 1982; Shallice, 1988).”
On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. (2009, background): “Similarly, Barlow (1985), Gross (2002), Page (2000), and Perrett et al.”
Visual Concepts and Compositional Voting (2017, methodology): “ty measure between patterns, so that two patterns with similar encodings are treated as being the same underlying pattern. This encoding perspective follows the spirit of Barlow’s sparse coding ideas [3] and is also helpful for developing pattern theory models, which are pursuing in current research”
Visual attention: The past 25 years (2011, background): “…brain is essentially constant (Clarke & Sokoloff, 1994), the high bioenergetic cost of spikes requires the use of efficient representational codes relying on a sparse collection of active neurons (Barlow, 1972), as well as the flexible allocation of metabolic resources according to task demands.”
Encoding of mixtures in a simple olfactory system. (2013, unknown): “Each KC represents a meaningful feature, and each stimulus is encoded by the combination of relevant feature-selective KCs (Barlow, 1972; Foldiak, 2003).”