Transistor-Based Neural Circuit & CMOS Technology Simulation

Transistor Basics
CMOS Technology
Neural Circuit
About

Transistor Basics

MOSFET Transistor Operation

A MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor) has three terminals: Gate, Source, and Drain.

The voltage applied to the Gate terminal controls the current flow between Source and Drain.

Key Points:

  • When gate voltage is below threshold: Transistor is OFF
  • When gate voltage exceeds threshold: Transistor turns ON
  • N-channel MOSFET: Conducts when gate is positive
  • P-channel MOSFET: Conducts when gate is negative

MOSFET Controls



Current State: OFF

Drain Current (ID): 0.00 mA

CMOS Technology

CMOS Inverter

CMOS (Complementary Metal-Oxide-Semiconductor) uses both NMOS and PMOS transistors working together. The basic CMOS structure is an inverter that converts a high input to a low output and vice versa.

Advantages of CMOS:

  • Low power consumption (only draws power during switching)
  • High noise immunity
  • High density integration
  • Wide supply voltage range

CMOS Inverter Controls


Input Voltage: 0.00V

Output Voltage: 5.00V

Power Consumption: 0.00 μW

CMOS Logic Gates

CMOS NAND Gate

Input A: 0

Input B: 0

Output: 1

CMOS NOR Gate

Input A: 0

Input B: 0

Output: 1

Transistor-Based Neural Circuit

Simple Neuron Model

This simulation demonstrates how transistors can be used to create artificial neurons—the basic building blocks of neural networks.

Transistor-Based Neuron:

  • Multiple inputs (dendrites) with different weights (synapse strengths)
  • Summing junction (soma)
  • Threshold activation function (axon)
  • Output that fires when threshold is reached

Neural Circuit Controls






Weighted Sum: 0.00

Neuron Output: 0

Neural Network Example: XOR Problem

XOR (exclusive OR) is a classic problem that cannot be solved by a single neuron but requires a small network.

XOR Truth Table

Input A Input B Output
0 0 0
0 1 1
1 0 1
1 1 0

Input A: 0

Input B: 0

Output: 0

About This Simulation

Educational Purpose

This interactive simulation is designed to help students and enthusiasts understand the fundamental principles of:

  • Transistor operation and characteristics
  • CMOS technology used in modern integrated circuits
  • How transistors can be used to build neural circuits
  • The relationship between electronic components and artificial neurons

Features

  • Interactive visualizations of transistor behavior
  • Real-time CMOS circuit simulation
  • Neural network implementation using transistor-like components
  • Adjustable parameters to explore different scenarios

Key Takeaways

After exploring this simulation, you should understand:

  • How transistors function as electronic switches and amplifiers
  • Why CMOS technology is fundamental to modern computing
  • How transistors can implement the mathematical functions needed for neural networks
  • The parallels between electronic circuits and biological neurons

References

  • Sedra, A. S., & Smith, K. C. (2014). Microelectronic Circuits.
  • Mead, C. (1989). Analog VLSI and Neural Systems.
  • Weste, N. H. E., & Harris, D. M. (2010). CMOS VLSI Design.