Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)

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"Pyramidal neurons integrate synaptic inputs from basal and apical dendrites to generate stimulus-specific responses. It has been proposed that feed-forward inputs to basal dendrites drive a neuron’s stimulus preference, while feedback inputs to apical dendrites sharpen selectivity. However, how a neuron’s dendritic domains relate to its functional selectivity has not been demonstrated experimentally. We performed 2-photon dendritic micro-dissection on layer-2/3 pyramidal neurons in mouse primary visual cortex. We found that removing the apical dendritic tuft did not alter orientation-tuning. Furthermore, orientation-tuning curves were remarkably robust to the removal of basal dendrites: ablation of 2 basal dendrites was needed to cause a small shift in orientation preference, without significantly altering tuning width. Computational modeling corroborated our results and put limits on how orientation preferences among basal dendrites differ in order to reproduce the post-ablation data. In conclusion, neuronal orientation-tuning appears remarkably robust to loss of dendritic input."
1 . Park J, Papoutsi A, Ash RT, Marin MA, Poirazi P, Smirnakis SM (2019) Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons Nature Communications 10:5372
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Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I L high threshold; I T low threshold; I A; I K,Ca; I M; I K; I Na,t;
Gap Junctions:
Receptor(s): GabaA; NMDA; AMPA;
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Vision;
Implementer(s): Papoutsi, Athanasia [athpapoutsi at gmail.com];
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; GabaA; AMPA; NMDA; I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I K,Ca; Gaba; Glutamate;
// Sequential deleting dendrites and their childs
// Papoutsi, 2017

objref list_primary[basal.count()]
//Find primary dendrites 
proc find_prim_dendrites () {
	for i=0, basal.count()-1 {
		//If the parent node is the root (=> primary basal dendrite)
		if (!basal.o(i).has_trueparent()) {
			list_primary[prim]=new List()
			basal.o(i).sec list_primary[prim].append(new SectionRef())
			//If this dendrite has childs
			if (basal.o(i).nchild()) {
				for j=0, basal.o(i).nchild()-1 {
					access basal.o(i).child[j] list_primary[prim].append(new SectionRef())

proc delete_primary_dendrites () {
	if (list_primary[dend_id11].o(0).exists()) {
		for j=0, list_primary[dend_id11].count()-1 {
			access list_primary[dend_id11].o(j).sec 
	if (dend_id22>dend_id11) {
		if (list_primary[dend_id22].o(0).exists()) {
			for j=0, list_primary[dend_id22].count()-1 {
				access list_primary[dend_id22].o(j).sec 

proc delete_apical() {
	for i=0, apical.count()-1 {
			access apical.o(i).sec