Pyramidal neuron as two-layer neural network.

By Panayiota Poirazi, T. Brannon, Bartlett W. Mel. Neuron, 2003

759 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/5d061345f02a525d7c051f6f934e2ef640696416

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex (2015, background): “This has led some researchers to suggest that dendritic branches act as independent pattern recognizers (Poirazi et al., 2003; Polsky et al., 2004).”
The dendritic branch is the preferred integrative unit for protein synthesis-dependent LTP (2011, background): “Neuron 69, 132–146, January 13, 2011 ª2011 Elsevier Inc. 143 in depolarizing the cell (Gasparini and Magee, 2006; Gasparini et al., 2004; Govindarajan et al., 2006; Poirazi et al., 2003a, 2003b; Poirazi and Mel, 2001).”
Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. (2004, result): “One approach synapses also store information, and this notion is supported by recent work on plasticity at this synapse (Jörn-to modeling such a situation would be to represent the cell as a two-layer neural network (Poirazi et al., 2003; tell and Ekerot, 2002, 2003).”
Reinforcement Learning on Slow Features of High-Dimensional Input Streams (2010, positive): “We therefore propose a learning rule that is based on a more complex neuron model with nonlinear dendritic interactions within neurons [42] and the possibility to adapt dendritic conductance properties [43].”
Active properties of neocortical pyramidal neuron dendrites. (2013, methodology): “In contrast with a random distribution of synapses, one of the leading hypotheses is that small clusters of synapses onto dendritic branchlets perform nonlinear local integration (Häusser & Mel 2003, Poirazi et al. 2003).”
Efficient codes and balanced networks (2016, background): “If this delayed version is combined with dendritic nonlinearities, many kinds of nonlinear operations on the represented variables can be performed 20,71 .”
Inhibitory synaptic plasticity: spike timing-dependence and putative network function (2013, background): “It was recently suggested that dendrites act as independent computational units (Poirazi et al., 2003; Losonczy et al., 2008; Branco and Häusser, 2010) that locally regulate many important cellular processes, such as plasticity and protein synthesis.”
Integrative properties of radial oblique dendrites in hippocampal CA1 pyramidal neurons. (2006, background): “The summation among multiple branch spikes is a feature of the sum of subunits type of dendritic computation commonly associated with a multilayer model of pyramidal neurons (Hausser and Mel, 2003; Poirazi et al., 2003a, 2003b).”
Pyramidal neurons: dendritic structure and synaptic integration (2008, background): “Clustered inputs onto individual branches might evoke dendritic spikes more effectively than inputs that are distributed across multiple dendritic branche”
Dendritic excitability and synaptic plasticity. (2008, positive): “Local intrinsic plasticity, on the other hand, could apply such normalization at a more fine-grained level of dendritic subunits on parts of the dendritic tree or even individual dendritic branches (514, 604, 667), where it could also influence subsequent local intrinsic and synaptic plasticity.”
Engineering a Less Artificial Intelligence. (2019, background): “They thus embody their own miniature neural network within a single neuron (Poirazi et al., 2003).”