Posted on 07/07/2019 8:48:25 PM PDT by ETL
Neural computation occurs in large neural networks within dynamic brain states, yet it remains poorly understood if the functions are performed by a specific subset of neurons or if they occurred in specific, dynamic regions. In a recent study, Wesley Clawson and co-workers at the Institute of Neuroscience Systems in France, used high density recordings in the hippocampus, medial entorhinal and medial prefrontal cortex of the rat. Using the animal model, they identified computing substates where specific computing hub neurons performed well-defined operations on storage and sharing in a brain state-dependent manner.
The scientists retrieved distinct computing substates in each global brain state, which included REM (rapid-eye-movement) and NREM (non-rapid-eye-movement) sleep. The results suggested that the functional roles were not hardwired but reassigned at a specified time-scale. Clawson et al. identified the sequence of substates whose temporal organization was dynamic between order and disorder. The results of the study are now published on Science Advances.
Information processing in the brain can be approached on three levels to include (1) biophysical, (2) algorithmic and (3) behavioral components. The algorithmic level remains the least understood, where it describes emergent functional computations that can be decomposed into simpler processing steps with complex architectures. At the lowest level of individual system components such as single neurons, the building blocks of distributed information processing can be modeled as primitive operations of storing, transferring or nonlinearly integrating information streams. During resting state conditions both blood-oxygen level dependent (BOLD) and electroencephalogram (EEG) signals are characterized by discrete periods of functional connectivity or topographical stability known as resting state networks and microstates. Neuroscientists have demonstrated that transition between the large-scale epochs are not periodic or random but occur through a fractal and complex syntax, hitherto not understood.
For instance, does the macroscale organization also occur at the microscale? Is neuronal activity at the level of the microcircuit associated with different styles of information processing? To answer these questions, the first goal of Clawson and co-workers was to determine if information processing at the local neuronal circuit level was structured into discrete sequences of substates to form a hallmark of computation. For this, they focused on the low-level computing operation at the level of the single-neuron such as basic information storage and sharing. They studied two conditions – anesthesia and natural sleep that were characterize by theta (THE)/ slow oscillation (SO) and rapid eye movement (REM)/nonREM sleep, respectively.
What I get from this article is that, if you only have an occasional cortex, this can really mess you up.
... and, as it says, this particularly applies to the medial entorhinal and medial prefrontal cortex of ‘Rats, as we already knew.
LOL!!
Yeah! Who didn't know that?? Even creepy crazy stupid Joe Biden knew it!
Parts that don’t work in AOC...
Well, she is, after all, a "Rat".
"this particularly applies to the medial entorhinal and medial prefrontal cortex of Rats"
I find that when i tuck one leg of my pants into one of my socks, people expect less of me
;)
Reassigned at a specified time scale ..? hey are picking at straws and can’t give a conclusive answer . The closer the scientists get to thinking they (MAN) has found the key God must giggle and drop another monkey wrench in their search...so fun to watch and read brainiacs seeking when they should first look at themselves.
Have Google (scumbags that they are) manipulate the algorithums so they can determine the outcome because the “scientists” can’t figure out Gods creation of our brains communication system! The audacity of thinking we mortals are the source or the pearl of this worlds Oyster is comical.
embedded in my hippocampussy
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