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threshold-based-decision-making

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KARAN-D05 / Gate-Level-Perceptron

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This project explores how adaptive behavior and learning-like dynamics can emerge from purely deterministic gate-level systems. It evolves from strict Boolean matching to score-based decision making, culminating in a cybernetic feedback-driven adaptive learning system, with perceptron-style development as future work 🤖.

verilog finite-state-machine adaptive-learning pattern-recognition cybernetics icarus-verilog gtkwave learning-algorithms artificial-neuron digital-system-design hardware-optimization logisim-evolution algorithmic-optimization threshold-based-decision-making wallace-tree self-learning-system speed-vs-area-tradeoffs
  • Updated Apr 18, 2026
  • Verilog

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