Synaptic Integration in Tuft Dendrites of Layer 5 Pyramidal Neurons: A New Unifying Principle

By Matthew E. Larkum, Thomas Nevian, Maya Sandler, A. Polsky, Jackie Schiller. 2009

642 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Potassium channels control the interaction between active dendritic integration compartments in layer 5 cortical pyramidal neurons. (2013, positive): “We, and others, have suggested that apical dendritic tuft excitatory input may influence neuronal output following integration at the level of the distal apical dendritic trunk, the site of a powerful spike generator (Larkum et al., 2009; Williams, 2004; Williams and Stuart, 2002).”
Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex (2015, background): “Instead it can lead to a Ca2+ spike in the apical dendrite (Golding et al., 1999; Larkum et al., 2009).”
Imaging Neural Activity Using Thy1-GCaMP Transgenic mice (2012, background): “The duration and amplitude of these dendritic calcium transients are comparable to dendritic calcium spikes observed in vitro (Larkum et al., 2009).”
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties (2011, background): “Previous works characterized numerous active properties of the cells apical dendrites [5–8] and recently also the basal dendrites [9–11], as well as the ionic currents involved and partially also the spatial distribution of the underlying ion channels over the dendritic surface [12–13].”
Active properties of neocortical pyramidal neuron dendrites. (2013, background): “Sharp thresholds for NMDA spikes have been found using focal synaptic stimulation (Gordon et al. 2006, Larkum et al. 2009, Nevian et al. 2007, Polsky et al. 2004, Schiller et al. 2000), glutamate UV-laser uncaging (Gordon et al. 2006, Major et al. 2008, Polsky et al. 2004, Schiller et al. 2000),…”
Towards deep learning with segregated dendrites (2016, background): “…2002; Spratling and Johnson, 2006) and demonstrated that segregating the feedback and feedforward inputs to neurons, much as the real neocortex does (Larkum et al., 1999, 2007, 2009), can enable the construction of local targets to assign credit appropriately to hidden layer neurons (Figure 2).”
Dendritic spines and distributed circuits. (2011, positive): “Also, dendritic spikes, like the ones that occur in the distal apical dendrite of neocortical pyramidal neurons, could enable the amplification of distant inputs that would otherwise not be transmitted to the soma (Larkum et al., 2009; Yuste et al., 1994).”
Canonical microcircuits for predictive coding. (2012, positive): “In terms of the excitatory and modulatory effect of feedback connections, predictive input from higher cortical areas might have an important impact via the distal dendrites of pyramidal neurons (Larkum et al., 2009).”