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A knowledge platform grounded in neuroscientific principles for superior recall and learning
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When viewing a puzzle with a missing piece, the brain instantly fills the gap using context and prior knowledge. It stores fragmented data, then reconstructs meaning by recognizing patterns—showing how memory is predictive, not just reactive.
“A brain doesn’t store memories like files in a computer— it reconstructs them on demand with electricity and swirling chemicals. We call this process remembering but it’s actually assembling.”
The brain stores information by strengthening connections between neurons. 2D information (key-value) is a simple association, like a face (key) and a name (value). 3D information (key-relation-value) adds context and complexity, like a person (key) and an event they attended (value) linked by the relationship "attended."
Read more"The Lernmatrix," a quote from his 1961 paper, introduced one of the first theoretical models of associative memory. While not a catchy phrase, his work laid the foundation for the idea that memory could be represented as a matrix where a key (input) is associated with a value (output)
Forgetting and distortion are not flaws but an inherent part of how memory works. Memory is not a perfect record; it's a reconstructive process, actively rebuilt each time it's recalled. This dynamic nature allows us to adapt and focus on relevant information, but it also makes memories susceptible to change and influence over time.
“"Memory consolidation is not an all-or-none process. It's a continuous, dynamic process." This statement underscores that memory is not instantly "saved" but is constantly being updated and changed, a process that can be disrupted or altered over time.”
Quick snippet's of information, Write quick notes and remember it's acronym.
Write a notebook, with many pages, connnect them all together. Be it a guide or a workbook.
Explore possiblities from a single entrypoint, Create mindmaps that flow with your thinking
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