Neocortical Microcircuitry Reconstruction via Digital Modeling
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Solution Overview
Problem
Current understanding of neocortical microcircuitry is limited by gaps in anatomical and physiological organization at the cellular and synaptic levels, with computational approaches failing to explain the functional significance of intricate cellular and synaptic connections.
Innovation Solution
The reconstruction and simulation of neocortical microcircuitry using cellular and synaptic organizing principles, which involves digitally reconstructing neurons, classifying them into morphological and electrical types, and modeling synaptic dynamics to create a virtual volume of neural tissue that replicates in vitro and in vivo findings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If experimental mapping alone is used to study neocortical microcircuitry, then data collection can be performed with current techniques, but it cannot provide enough data to answer questions about cellular and synaptic mechanisms
Solution Approach 1:
The patent creates a computational copy of the neocortical microcircuitry that replicates the anatomical and physiological properties of real neural tissue. This digital model allows researchers to study cellular and synaptic mechanisms without needing to physically map every connection experimentally, thereby providing complete information about circuit mechanisms while reducing the quantity of experimental data required.
Solution Approach 2:
The patent transforms the research approach by changing from direct experimental measurement of all parameters to computational modeling where parameters can be systematically varied and tested. This allows complete exploration of cellular and synaptic mechanisms by adjusting model parameters rather than requiring exhaustive experimental measurement of each parameter in biological tissue.
2Device complexity
If computational approaches abstract away biological detail, then analysis becomes simpler, but the functional significance of intricate cellular and synaptic organization cannot be explained
Solution Approach 1:
The patent applies local quality by maintaining high levels of biological detail only where functionally significant, rather than uniformly simplifying all aspects. The computational model preserves intricate cellular and synaptic organization details in critical regions while using simplified representations elsewhere, allowing functional significance to be explained without unnecessary complexity in non-critical areas.
3Ease of manufacture
If dense maps of neural microcircuitry are created without measuring every biological parameter, then reconstruction becomes feasible, but data quality and reproducibility issues arise
Solution Approach 1:
The patent applies partial action by measuring only the essential biological parameters needed for accurate reconstruction, rather than attempting to measure every conceivable parameter. This selective approach makes dense map reconstruction feasible while maintaining sufficient data quality for reliable results, avoiding the impossibility of complete measurement while ensuring reproducibility through focused measurement of critical parameters.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reconstructing and simulating neocortical microcircuitry. In one aspect, a method includes providing a model of neural tissue, the model including different types of neural cells and dynamic synaptic interconnections between the neural cells, changing a parameter in the model; and identifying a change in a computational state of the model of the neural tissue responsive to the change in the parameter. The change in the parameter can, e.g., change behavior of neural cells of at least one type, change interconnectivity between neural cells, or target a location within a volume in the model that interacts with multiple types of neural cells.