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An assembly is a large population of neurons whose synchronous firing is hypothesized to represent a memory, concept, word, and other cognitive categories.
The Integrative Action of the Nervous System , volume 2
Charles Scott Sherrington · 1906
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Donald Olding Hebb · 1949
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On the evolution of random graphs
Paul Erdős and Alfréd Rényi · 1960
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Neural networks and physical systems with emergent collective computational abilities
John J Hopfield · 1982
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Circuits of the mind
Leslie G. Valiant · 1994
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A neuroidal architecture for cognitive computation
Leslie G. Valiant · 2000
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Arousal systems
Barbara E Jones · 2003
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Homeostatic control of neural activity: from phenomenology to molecular design
Graeme W Davis · 2006
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Random features for large-scale kernel machines
Ali Rahimi and Benjamin Recht · 2007
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Experience-induced neural circuits that achieve high capacity
Vitaly Feldman and Leslie G. Valiant · 2009
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Neural syntax: cell assemblies, synapsembles, and readers
György Buzsáki · 2010
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Cortical state and attention
Kenneth D Harris and Alexander Thiele · 2011
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Too many cooks? intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement
Gina Turrigiano · 2011
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Bootstrapping in a language of thought: A formal model of numerical concept learning
Steven T Piantadosi, Joshua B Tenenbaum, and Noah D Goodman · 2012
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Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity
Jonathan Binas, Ueli Rutishauser, Giacomo Indiveri, and Michael Pfeiffer · 2014
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Random synaptic feedback weights support error backpropagation for deep learning
Timothy P. Lillicrap, Daniel Cownden, Douglas Blair Tweed, and Colin J. Akerman · 2016
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The logical primitives of thought: Empirical foundations for compositional cognitive models
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio, and Walter Senn · 2018
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The Brain from Inside Out
György Buzsáki · 2019
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Random projection in the brain and computation with assemblies of neurons
Christos H Papadimitriou and Santosh S Vempala · 2019
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Theories of error back-propagation in the brain
James CR Whittington and Rafal Bogacz · 2019
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Backpropagation and the brain
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, and Geoffrey Hinton · 2020
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Synaptic plasticity forms and functions
Jeffrey C Magee and Christine Grienberger · 2020
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Steven T Piantadosi, Joshua B Tenenbaum, and Noah D Goodman · 2016
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Neuronal codes for visual perception and memory
Rodrigo Quian Quiroga · 2016
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Towards deep learning with segregated dendrites
Jordan Guerguiev, Timothy P Lillicrap, and Blake A Richards · 2017
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Dendritic error backpropagation in deep cortical microcircuits
Joao Sacramento, Rui Ponte Costa, Yoshua Bengio, and Walter Senn · 2017
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R. Legenstein, W. Maass, C. H. Papadimitriou, and S. S. Vempala · 2018
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Supervised learning with brain assemblies
Akshay Rangamani and A Gandhi · 2020
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Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
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