The Organization of Behavior: A Neuropsychological Theory

By F. Attneave, M. B., D. Hebb. 1949

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A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, background): “istical methods. By then, early research on how to emulate the functioning of the human brain through a machine was underway. McCulloch and Pitts cell [1] was proposed back in 1943, and the Hebb rule [2] that the Perceptron [3] is founded on was stated in 1949. Therefore, it is not surprising that a”
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “In contrast to back-propagation of errors (Widrob and Lehr, 1990), considered biologically implausible, the Hebbian principle (Hebb, 1949; Cooper, 2005) is a more popular choice in EPANN because is biologically plausible due its dependency solely on local activity values.”
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning (2020, background): “vailability. Apart from concerns about reasonably sized datasets, a different concern is as old as the quest for stochastic approximations itself, namely when to conduct updates. Already in Hebb 1949 [57], online learning, i.e. incorporating information immediately as data arrives as opposed to coll”
Provable Bounds for Learning Some Deep Representations (2013, background): “Because of the unique neighbor property, we expect roughly ρl(d/2) fraction of h (`−1) to be 1.”
A new look at habits and the habit-goal interface. (2007, background): “The essential mechanism behind direct cuing involves the cognitive neural changes that result from repeated coactivation of responses and contexts (see Hebb, 1949 ).”
When and how do children develop knowledge of verb argument structure? Evidence from verb bias effects in a structural priming task (2015, background): “According to Hebb (1949), when one neuron A excites another neuron B (and as long as A is excited just before B), the strength of the connection weight between these neurons increases.”
Autonomy and Enactivism: Towards a Theory of Sensorimotor Autonomous Agency (2017, background): “…a stock of theoretical building blocks that satisfy the demands for a theory of behavioural neurodynamic autonomy: from neuronal cell assemblies (Hebb 1949; Varela 1995) or dynamic cell assemblies (Tsukada et al. 1996) to the dynamic core hypothesis (de Pasquale et al. 2012; Edelman and Tononi…”
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018, methodology): “This limitation was addressed in 1949 by Hebbian learning [184], a simple rule-based algorithm for updating the connection weights of the early NN model.”
Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons (2006, unknown): “Functionally defined by Hebb, neuronal assembly is a group of cells that share similar static and dynamic response properties when activated through specific receptors, constituting " . . . the simplest instance of a representative process (image or idea) " (Hebb, 1949).”
Developmental change in infants' perception of correlations among attributes. (1986, background): “A long-standing controversy among theories of perceptual development involves integration (e.g., Cohen, 1979; Hebb, 1949) versus differentiation (e.”
Waveguide-integrated superconducting nanowire single-photon detectors (2018, background): “Another important requirement for mimicking the human brain is synaptic weighting [273, 274], i.”