Application of polymer microstructures with controlled surface chemistries as a platform for creating and interfacing with synthetic neural networks
Bibliographic record
Abstract
Hybrid silicon-polymer chips with microscale topography and contrasting surface chemistries were created using a novel combination of soft lithography techniques, and evaluated for their suitability as a platform to guide cell attachment, growth and differentiation. These capabilities are all necessary to synthesize organized neural networks in vitro. Neurons developed on these chips exhibit patterned growth and functional communication, evidenced by spontaneous and stimulated action potentials and intracellular calcium oscillations. Integration of planar patch-clamp technology into this platform to create a novel long-term interface is presented, with the formation of a high resistance (giga-ohm) electrical seal between the cultured cell membrane and the perimeter of a micron-sized orifice integrated into the substrate. This platform has potential as a tool to investigate mechanisms underlying neuro-genesis, synaptic transmission, and neuro-degeneration. It may also lead to the development of more sophisticated and functionally relevant bioassays and high throughput electrophysiological screening, thus speeding the drug discovery process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".