Sensitivity study and improvements on a nonlinear resistive-type neuron circuit
Why this work is in the frame
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Bibliographic record
Abstract
A generalised VLSI circuit realisation for a nonlinear active resistor-type neuron is proposed that implements a saturating sigmoidal-like function by combining the nonlinear characteristics of NMOS and PMOS transistors. The circuit design is based on using a parameter sensitivity analysis to develop a robust design that will be relatively insensitive to process-parameter variations over the area of the die. The nonlinear resistor has been integrated into a module which realises a programmable digital synaptic weight capability. A neuron is effectively formed from the parallel interconnection that takes place as multiplier outputs are connected to create an input node to the resultant distributed neuron. Designs in 0.35 and 0.8 µm processes are compared with a conservative 1.2 µm CMOS implementation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 it