Impact of active dendrites and structural plasticity on the memory capacity of neural tissue.
By Panayiota Poirazi, Bartlett W. Mel. 2001
634 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Andreas Knoblauch
- Michael Häusser
- Nelson Spruston
- Per Jesper Sjöström
- Christopher D. Harvey
- Karel Svoboda
- Markus Butz
- Arjen van Ooyen
In Cognitive Neuroscience
- Andreas Knoblauch
- Friedrich T. Sommer
- Edgar Körner
- Michael Häusser
- Ursula Körner
- Nelson Spruston
- Per Jesper Sjöström
- Karel Svoboda
In Neurology
- Andreas Knoblauch
- Karel Svoboda
- Charles R. Gerfen
- D. Surmeier
- Christopher D. Harvey
- Jackie Schiller
- A. Polsky
- A. van Ooyen
Citations in the corpus
- Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, background): “Previous approaches to memory formation by structural plasticity have also discussed that memories could be encoded in the number of synapses rather than by changing weights of individual synapses [28].”
- Memory Capacities for Synaptic and Structural Plasticity (2010, background): “This idea assumes that the network structure can be adapted to the stored data and has close relations to theoretical considerations about structural plasticity (Stepanyants, Hof, & Chklovskii, 2002 ; Poirazi & Mel, 2001 ; Fusi, Drew, & Abbott, 2005 ).”
- Correlated neuronal activity and the flow of neural information (2001, background): “A neuron could operate with many such clusters which, if located on ELECTROTONICALLY DISTANT parts of the dendritic tree, could act independently of each other, increasing storage and computational capacit”
- Dendritic spikes as a mechanism for cooperative long-term potentiation (2002, background): “via dendritic spikes may therefore lead to the selection of clusters of effective synapses in dendritic domains or branches, a property of dendritic integration that has been proposed to increase the computational power and memory capacity of some neural system”
- Consciousness in the universe: a review of the 'Orch OR' theory. (2014, background): “Most scientists and philosophers view consciousness as an emergent property of complex computation among ‘integrate-and-fire’ brain neurons which interconnect and switch at chemically-mediated synapses.”
- COORDINATION OF SIZE AND NUMBER OF EXCITATORY AND INHIBITORY SYNAPSES RESULTS IN A BALANCED STRUCTURAL PLASTICITY ALONG MATURE HIPPOCAMPAL CA1 DENDRITES DURING LTP (2011, background): “TBS also elevates intracellular calcium from multiple sources and releases BDNF; events not elicited with tetanic stimulation (Larson et al., 1986; Abraham and Huggett, 1997; Kang et al., 1997;”
- Computational subunits in thin dendrites of pyramidal cells (2004, methodology): “The clusteron model was designed in part to demonstrate how a Hebbian learning rule, combined with structural plasticity at the interface between axons and dendrites, can lead similarly activated synapses to aggregate within the same postsynaptic dendritic compartmen”
- Activity-dependent structural plasticity. (2009, background): “Thus, sensory deafferentation of cortical tissue can lead to substantial remapping of somato-sensory representations (Pons et al., 1991).”
- Fast-spiking, parvalbumin+ GABAergic interneurons: From cellular design to microcircuit function (2014, background): “In pyramidal neurons, the high ratio of Na channels to K channels in dendrites enriches the repertoire of single-neuron computations [∫, sigmoidal threshold mechanism (127)].”