one of the most important brain research papers in 50 years

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Highlight:

"Here, we show that NE remodeling of synaptic function is completely independent from its binding on neuronal receptors. Instead, astrocytic adrenergic receptors and calcium dynamics fully gate the effect of NE on synapses."

NE is norepinephrine, a chemical that regulates brain arousal, wakefulness, and attention. Amphetamines increase brain NE, it's what keeps you awake.

This paper shows that NE acts on astrocytes, which are glial cells. There are three times as many glial cells in the brain, as there are neurons.

Upon receiving an NE signal from the brainstem, the astrocytes in turn release a second messenger onto the neurons, which changes the neural synaptic strengths and modulates the throughout of one neuron onto another.

This is a map of the NE pathways in the brain. They originate from cell group A6 in the brainstem, called locus coeruleus.

1747535512856.webp


Astrocytes are the hidden puppet masters of the brain. You'll be hearing a lot more about them.

There is not yet even a single machine learning model that deals with the effects of astrocytes. You'll be hearing a lot more about that too. I may even start working on it myself.

This is a deeply meaningful and important discovery. It will keep scientists busy for the next 20 years.

All of machine learning and AI is based on the following simple equation governing neurons:

O(j) = sum over i of [W(ij) * I(i)]

Where O is the output, I is the input, and W is a weight matrix describing the connection strengths of the synapses.

"Learning rules" are a way of updating W based on repeated presentation of the inputs I.

What this paper is saying is that astrocytes change W independently of neuronal activity.

This has profound implications for memory, and many other things. Locus coeruleus neurons are active during REM sleep. For decades neuroscientists wondered why. Maybe now we have a clue.
 

Highlight:

"Here, we show that NE remodeling of synaptic function is completely independent from its binding on neuronal receptors. Instead, astrocytic adrenergic receptors and calcium dynamics fully gate the effect of NE on synapses."

NE is norepinephrine, a chemical that regulates brain arousal, wakefulness, and attention. Amphetamines increase brain NE, it's what keeps you awake.

This paper shows that NE acts on astrocytes, which are glial cells. There are three times as many glial cells in the brain, as there are neurons.

Upon receiving an NE signal from the brainstem, the astrocytes in turn release a second messenger onto the neurons, which changes the neural synaptic strengths and modulates the throughout of one neuron onto another.

This is a map of the NE pathways in the brain. They originate from cell group A6 in the brainstem, called locus coeruleus.

View attachment 1112598

Astrocytes are the hidden puppet masters of the brain. You'll be hearing a lot more about them.

There is not yet even a single machine learning model that deals with the effects of astrocytes. You'll be hearing a lot more about that too. I may even start working on it myself.

This is a deeply meaningful and important discovery. It will keep scientists busy for the next 20 years.

All of machine learning and AI is based on the following simple equation governing neurons:

O(j) = sum over i of [W(ij) * I(i)]

Where O is the output, I is the input, and W is a weight matrix describing the connection strengths of the synapses.

"Learning rules" are a way of updating W based on repeated presentation of the inputs I.

What this paper is saying is that astrocytes change W independently of neuronal activity.

This has profound implications for memory, and many other things. Locus coeruleus neurons are active during REM sleep. For decades neuroscientists wondered why. Maybe now we have a clue.
Interesting. Do astrocytes actively alter this weighted effect in the neurons (similar to the backpropagation ML algorithm formula) in each individual, or, does it maintain a set weight with each individual? The differences between each of us, of which constitutes our individual attributes of memory strength and/max limitation. Also, I have avoided calcium for many years fearing they block arteries in the brain through calcification.
 

Highlight:

"Here, we show that NE remodeling of synaptic function is completely independent from its binding on neuronal receptors. Instead, astrocytic adrenergic receptors and calcium dynamics fully gate the effect of NE on synapses."

NE is norepinephrine, a chemical that regulates brain arousal, wakefulness, and attention. Amphetamines increase brain NE, it's what keeps you awake.

This paper shows that NE acts on astrocytes, which are glial cells. There are three times as many glial cells in the brain, as there are neurons.

Upon receiving an NE signal from the brainstem, the astrocytes in turn release a second messenger onto the neurons, which changes the neural synaptic strengths and modulates the throughout of one neuron onto another.

This is a map of the NE pathways in the brain. They originate from cell group A6 in the brainstem, called locus coeruleus.

View attachment 1112598

Astrocytes are the hidden puppet masters of the brain. You'll be hearing a lot more about them.

There is not yet even a single machine learning model that deals with the effects of astrocytes. You'll be hearing a lot more about that too. I may even start working on it myself.

This is a deeply meaningful and important discovery. It will keep scientists busy for the next 20 years.

All of machine learning and AI is based on the following simple equation governing neurons:

O(j) = sum over i of [W(ij) * I(i)]

Where O is the output, I is the input, and W is a weight matrix describing the connection strengths of the synapses.

"Learning rules" are a way of updating W based on repeated presentation of the inputs I.

What this paper is saying is that astrocytes change W independently of neuronal activity.

This has profound implications for memory, and many other things. Locus coeruleus neurons are active during REM sleep. For decades neuroscientists wondered why. Maybe now we have a clue.
Interesting that so much "established science" is now being recast. It used to be that your brain was already deteriorating after puberty.

But stroke recovery research showed that the brain can adapt and even grow mass well into late middle age.

Some in the were the last to adopt because it went against what they had been taught their entire lives.
 
Interesting. Do astrocytes actively alter this weighted effect in the neurons (similar to the backpropagation ML algorithm formula) in each individual, or, does it maintain a set weight with each individual? The differences between each of us, of which constitutes our individual attributes of memory strength and/max limitation. Also, I have avoided calcium for many years fearing they block arteries in the brain through calcification.
You're asking a simple question with a very complicated answer. I'll try to answer in less than 1000 words.

Astrocytes are known to sequester extracellular calcium. Why is this important?

Well... the answer has to do with the two main types of glutamate receptors: NMDA and AMPA.

Glutamate is the primary excitatory neurotransmitter in the brain, especially in the cerebral cortex, but also in the hippocampus and other important areas.

Some synapses have NMDA receptors, some have AMPA, and some have both. The NMDA receptor (NMDAR) is the key. These are the ones most affected by "learning rules", which the neuroscientists call "plasticity".

The NMDAR is a voltage gated cation channel. Normally it is blocked, by a big magnesium ion. When the channel is blocked, calcium can't get in.

However the other receptor type, the AMPAR, isn't subject to such blockage, so when the synapse becomes active it depolarizes the membrane, which causes the magnesium ion to dissociate from the NMDAR, which in turn lets calcium in.

The influx of calcium causes further depolarization, which may lead to a "dendritic spike" which is a mini action potential that travels locally in the dendritic tree. In theory if it's strong enough it can make it all the way down into the cell body, causing the neuron to fire with a "real" action potential, which then travels down the axon and affects other neurons.

But most of the time a dendritic spike isn't strong enough to make it all the way down the dendritic tree into the cell body. Instead, it only travels locally in the dendritic tree, meaning it only affects "nearby synapses". Why is this important?

It's important because of something called "spike timing dependent plasticity", or STDP. So now we're talking about learning rules. STDP means the synaptic weight changes based on temporal correlation - like, if the presynaptic and postsynaptic neurons are active at the same time, the synaptic weight increases. ("Neurons that fire together, wire together").

So, if there's no calcium available to enter the cell, the dendritic spike will never happen, which means STDP won't happen and no learning will take place.

By regulating the available calcium, astrocytes can determine when and where learning takes place.

To answer your question then, yes there are certainly chemical kinetics which don't vary from one individual to the next. However - the shapes of neurons and astrocytes are highly variable between individuals, they're unique like fingerprints.

As close as we come to understanding dendritic branching is the "cable model" of Wilfrid Rall, which is an approximation based on compartments (short segments of varying diameters).


Dendritic spiking though, is considerably more complicated. Dendrites have synaptic "spines" which are little mushroom-shaped boutons with tiny stalks and very high input impedances. We don't yet know how these interact with NMDAR and AMPAR.

1747548367351.webp


The synapses occur on the spines, they're isolated from each other by the stalks. We do know however that long term learning is associated with RNA that travels up from the cell body into the spines, where it locally makes proteins. Some of these proteins regulate the number and position of the NMDA and AMPA receptors in each synapse, as well as their turnover rates.
 

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