
That lack of correspondence [between anatomical and physiological neuronal connectivity] adds to mounting evidence that researchers cannot infer information flow using the synaptic connectome alone.
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That lack of correspondence [between anatomical and physiological neuronal connectivity] adds to mounting evidence that researchers cannot infer information flow using the synaptic connectome alone.
The #connectome may be important, but it does not seem to help understand neuronal activity patterns:
"Comprehensive neuronal identification enabled us to examine the relationship between whole-brain activity and the connectome but we found no strong correlations between them."
https://doi.org/10.1016/j.cell.2020.12.012
Replication: https://doi.org/10.1016/j.cub.2022.06.039
The structure of a nervous system is one thing, but its relation to NS function seems to be much more tenuous than we may have hoped for.
In comb jellies, the "reticular theory" was correct!
"The reconstruction revealed a total of three aboral nerve net (ANN) neurons, all of which are syncytial, meaning they have multiple nuclei enclosed in a continuous membrane. The comb jelly’s subepithelial nerve net (SNN), which sits in M. leiydi’s body, is also made up of syncytial neurons [...]. Those were the first syncytial neurons described in any animal."
Wonderful #neuroscience by @jekely
"Beyond Newtonian causation in neuroscience: Embracing complex causality."
The traditional mechanistic framework must give way to a richer understanding of how #brains actually generate #behavior over time.
Wonderful write-up of the works of Potter, Mitchell, Tse et al. by Luiz Pessoa @PessoaBrain
See also his video with Potter, Mitchell and Tse:
https://www.youtube.com/watch?v=sVyFttbuOLQ
If you're into #neuroscience at all, you certainly don't want to miss these developments!
How much can a #connectome tell us about the activity of neurons? It seems not all that much:
"neuronal perturbation often prompted responses from cells that had no anatomical connections to the target cell"
3 tenure-track faculty positions in a super cool department (USA):
3 tenure-track faculty positions in a super cool department (USA):
That lack of correspondence [between anatomical and physiological neuronal connectivity] adds to mounting evidence that researchers cannot infer information flow using the synaptic connectome alone.
The #connectome may be important, but it does not seem to help understand neuronal activity patterns:
"Comprehensive neuronal identification enabled us to examine the relationship between whole-brain activity and the connectome but we found no strong correlations between them."
https://doi.org/10.1016/j.cell.2020.12.012
Replication: https://doi.org/10.1016/j.cub.2022.06.039
The structure of a nervous system is one thing, but its relation to NS function seems to be much more tenuous than we may have hoped for.
In comb jellies, the "reticular theory" was correct!
"The reconstruction revealed a total of three aboral nerve net (ANN) neurons, all of which are syncytial, meaning they have multiple nuclei enclosed in a continuous membrane. The comb jelly’s subepithelial nerve net (SNN), which sits in M. leiydi’s body, is also made up of syncytial neurons [...]. Those were the first syncytial neurons described in any animal."
Wonderful #neuroscience by @jekely
"Beyond Newtonian causation in neuroscience: Embracing complex causality."
The traditional mechanistic framework must give way to a richer understanding of how #brains actually generate #behavior over time.
Wonderful write-up of the works of Potter, Mitchell, Tse et al. by Luiz Pessoa @PessoaBrain
See also his video with Potter, Mitchell and Tse:
https://www.youtube.com/watch?v=sVyFttbuOLQ
If you're into #neuroscience at all, you certainly don't want to miss these developments!
How much can a #connectome tell us about the activity of neurons? It seems not all that much:
"neuronal perturbation often prompted responses from cells that had no anatomical connections to the target cell"
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