*It has long been known that learning and long-term memories are produced
by the strengthening and weakening of synaptic connections between neurons,
called "neuron plasticity", but it has not been clear what determines which
synapses are modified during learning in memory formation and by how much.
Two articles in the April 18, 2025 issue of the Journal Science cast some
light on that mystery: *

*Dendritic arbors structure memories*
<https://www.science.org/doi/10.1126/science.adx0640>

*Distinct synaptic plasticity rules operate across dendritic compartments
in vivo during learning*
<https://www.science.org/doi/10.1126/science.ads4706>

*It turns out which of the many dendrites that a neuron that receives an
input signal is important in choosing what rules that neuron will follow,
which in turn determines whether the entire neuron will fire or not. Some
neurons pay more attention to signals from nearby neurons while others find
distant neurons to be more interesting. And synapses in different parts of
the brain have different rules. This increases the information storage
capacity of a single neuron.*

*William J Wright, the lead author of the paper says: *

*“When people talk about synaptic plasticity, it’s typically regarded as
uniform within the brain, our research provides a clearer understanding of
how synapses are being modified during learning, with potentially important
health implications since many diseases in the brain involve some form of
synaptic dysfunction.”*

* Takaki Komiyama another author of the paper says: *

*“This discovery fundamentally changes the way we understand how the brain
solves the credit assignment problem, with the concept that individual
neurons perform distinct computations in parallel in different subcellular
compartments.”*

*I wouldn't be surprised if AI scientists take note of this and make a
neural net in a similar way to see if that improves performance, but just
because nature produces intelligence in a certain way is no guarantee that
is the best way to do it. *

*John K Clark    See what's on my new list at  Extropolis
<https://groups.google.com/g/extropolis>*
rew

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