Dendritic encoding of sensory stimuli controlled by deep cortical interneurons

By Masanori Murayama, E. Pérez-Garci, Thomas Nevian, Tobias Bock, Walter Senn, Matthew E. Larkum. 2009

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Towards deep learning with segregated dendrites (2016, background): “This stochasticity was not necessary, but it demonstrates that although the system operates in phases, the specific length of the phases is not important as long as they are sufficiently long to permit integration (see Lemma 1).”
GABAergic interneurons in the neocortex: From cellular properties to circuits (2016, neutral): “(Murayama et al., 2009) showed that dendritic inhibition could control the slope of the stimulus-sensory response function of L5 pyramidal cells in awake and anesthetized rats.”
Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations (2014, background): “Such inhibitory cells generally receive input from the same excitatory feedforward sources as the pyramidal cells that they inhibit (Callaway, 1998, 2004; Murayama et al., 2009).”
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits (2020, background): “, by dendritic disinhibition [62, 73, 85, 86] (Fig.”
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties (2011, background): “Recent in vivo studies demonstrate a correlation between dendritic Ca signals and sensation [24] or wakefulness [25].”