Axons and dendrites are fundamentally different. An example from #Drosophila:

"axons and dendrites can accumulate different microtubule-binding proteins; protein synthesis machinery is concentrated in the cell body; pre- and post-synaptic sites localize to distinct regions of the neuron; and specializations similar to the initial segment are present. In addition, we track EB1-GFP dynamics and determine microtubules in axons and dendrites have opposite polarity."

"Polarity and intracellular compartmentalization of Drosophila neurons", Rolls et al. 2007
https://link.springer.com/article/10.1186/1749-8104-2-7

To collapse axons and dendrites into point neurons in a simulation of neural circuits is, at this point, malpractice.

#neuroscience #cytoskeleton #axons #dendrites

Polarity and intracellular compartmentalization of Drosophila neurons - Discover Neuroscience

Background Proper neuronal function depends on forming three primary subcellular compartments: axons, dendrites, and soma. Each compartment has a specialized function (the axon to send information, dendrites to receive information, and the soma is where most cellular components are produced). In mammalian neurons, each primary compartment has distinctive molecular and morphological features, as well as smaller domains, such as the axon initial segment, that have more specialized functions. How neuronal subcellular compartments are established and maintained is not well understood. Genetic studies in Drosophila have provided insight into other areas of neurobiology, but it is not known whether flies are a good system in which to study neuronal polarity as a comprehensive analysis of Drosophila neuronal subcellular organization has not been performed. Results Here we use new and previously characterized markers to examine Drosophila neuronal compartments. We find that: axons and dendrites can accumulate different microtubule-binding proteins; protein synthesis machinery is concentrated in the cell body; pre- and post-synaptic sites localize to distinct regions of the neuron; and specializations similar to the initial segment are present. In addition, we track EB1-GFP dynamics and determine microtubules in axons and dendrites have opposite polarity. Conclusion We conclude that Drosophila will be a powerful system to study the establishment and maintenance of neuronal compartments.

SpringerLink

Fully funded 4-Year PhD with Prof. Sanchez Soriano at University of Liverpool, on neurodegeneration, ageing, neurons, and electron microscopy in Drosophila:

"The project will investigate specific structures called axonal varicosities or swellings, that occur on aged axons. These swellings could signal early stages of neuronal decline and are seen in various neurodegenerative diseases. Unfortunately, we currently know little about their role and significance."

Application Deadline: 7th December 2025

https://www.findaphd.com/phds/project/bbsrc-nwd-developing-a-vclem-pipeline-for-high-resolution-analysis-of-neurons-of-the-drosophila-brain/?p190380

#PhDPosition #Drosophila #neuroscience #axons #neurodegeneration

(BBSRC NWD) Developing a vCLEM pipeline for high-resolution analysis of neurons of the Drosophila brain at University of Liverpool on FindAPhD.com

PhD Project - (BBSRC NWD) Developing a vCLEM pipeline for high-resolution analysis of neurons of the Drosophila brain at University of Liverpool, listed on FindAPhD.com

www.FindAPhD.com

🧠 New pre-print by Wiesner et al. (2025) shows non-#synaptic #exocytosis directly from the #axon shaft, regulated by the submembrane periodic skeleton. Using #superresolution #imaging and live assays (#HiLo (VAMP2-pHluorin), #SIM, and correlative two-color #SMLM/ #STORM) they reveal that #axons can release vesicles outside classical #synapses, expanding how we understand #neuronal communication and #AxonalSignaling.

🌍 https://doi.org/10.1101/2025.09.17.676728

#Neuroscience

Why is neuronal repolarization during #ActionPotentials so uniform despite ~10x range in axonal diameter? Study shows that higher K+ currents in smaller #axons compensate for biophys constraints, resulting in size-independent trigger signals #PLOSBiology https://plos.io/3ZzJvzE
Axons compensate for biophysical constraints of variable size to uniformize their action potentials

Why is the repolarization phase of the neuronal actional potential so uniform despite the variability in axon diameters? This study shows that increased Kv1 potassium currents in smaller axonal structures compensate for their biophysical constraints resulting in size-independent synaptic trigger signals along the entire axon.

@SciMag @news-from-science-SciMag

A major criticism is that the technique of high-pressure freezing only handles very small volumes at most 200 micrometers thick, and therefore, the tissue being from a mouse brain, a significant amount of injury to neuronal arbours was caused to generate such small samples.

Three kinds of samples were used:
(1) Cell culture neurons, which have their own problems and can't be considered authoritative on neuronal morphology.
(2) Hippocampal slices, which do recover from sectioning when in the right culture medium but only to some extent. Most neurons exist as fragments in the slice. Artifacts in morphologies are expected.
(3) Acutely extracted brain bits can't be immediately frozen; even a second is enough for neurons to fire and osmolarity to shape neuronal morphologies away from the natural state.

In summary: while surely neurons in their natural state don't look like those in textbooks, since all sample preparations suffer from artifacts, I am not convinced that this study resolves the issue. Try to freeze a small animal – like it's been done for C. elegans. Do these peculiar axon morphologies exist in the HFP'ed worm?

The authors themselves admit that:
"treatments that disrupt these parameters like hyper- or hypo-tonic solutions, cholesterol removal, and non-muscle myosin II inhibition all alter the degree of axon pearling" – and all of these come into play during sample preparation.

Preprint: https://www.biorxiv.org/content/10.1101/2023.07.20.549958v1.full

As published: https://www.nature.com/articles/s41593-024-01813-1

I wish the reviews were published. Andreas Prokop, a neuroscientist working on microtubules in neurons, was involved, which is reassuring.

#neuroscience #morphology #neurons #pearling #axons

#Nerve #cells (#neurons ) are amongst the most complex cell types in our body. They achieve this complexity during development by extending ramified branches called #dendrites and #axons and establishing thousands of synapses to form intricate networks.
#Neuroscience #sflorg
https://www.sflorg.com/2024/04/ns04082401.html
Fueling nerve cell function and plasticity

How mitochondria control tissue rejuvenation and synaptic plasticity in the adult mouse brain

"We show that migrating #neurons in mice possess a growth cone at the tip of their leading process, similar to that of #axons, in terms of the #cytoskeletal dynamics and functional responsivity through protein tyrosine #phosphatase receptor type sigma (PTPσ). Migrating-neuron growth cones respond to chondroitin sulfate (CS) through PTPσ and collapse, which leads to inhibition of #neuronal migration."

https://www.nature.com/articles/s41467-024-45825-8

Identification of the growth cone as a probe and driver of neuronal migration in the injured brain - Nature Communications

Structure and functions of the tip of migratory neurons remain elusive. Here, the authors show that the PTPσ-expressing growth cone senses extracellular matrix changes and drives neuronal migration in the injured brain, leading to the functional recovery.

Nature
Short-term Hebbian learning can implement transformer-like attention

Author summary Many of the most impressive recent advances in machine learning, from generating images from text to human-like chatbots, are based on a neural network architecture known as the transformer. Transformers are built from so-called attention layers which perform large numbers of comparisons between the vector outputs of the previous layers, allowing information to flow through the network in a more dynamic way than previous designs. This large number of comparisons is computationally expensive and has no known analogue in the brain. Here, we show that a variation on a learning mechanism familiar in neuroscience, Hebbian learning, can implement a transformer-like attention computation if the synaptic weight changes are large and rapidly induced. We call our method the match-and-control principle and it proposes that when presynaptic and postsynaptic spike trains match up, small groups of synapses can be transiently potentiated allowing a few presynaptic axons to control the activity of a neuron. To demonstrate the principle, we build a model of a pyramidal neuron and use it to illustrate the power and limitations of the idea.

`#Oligodendrocytes (from Greek 'cells with a few branches'), also known as oligodendroglia, are a type of #neuroglia whose main functions are to provide support and insulation to #axons within the central nervous system (CNS) of jawed vertebrates. Their function is similar to that of Schwann cells, which perform the same task in the peripheral nervous system`

https://en.wikipedia.org/wiki/Oligodendrocyte

Oligodendrocyte - Wikipedia