Current-based LIF neurons are a simplified abstraction of the behavior of real neurons, and they are often used in large-scale neural network simulations due to their computational efficiency. These models are useful for studying the dynamics of spiking neurons and their role in information processing in the brain.
To test the current-based LIF project, follow these steps: Connect the LIF module to the input switches, 7-segment display, and clock source as specified in the Verilog module. Use input switches to control the input current, and observe the 7-segment display for spike detection, while ensuring the clock signal is appropriately set to provide the desired clock frequency for the simulation.
| # | Input | Output | Bidirectional |
|---|---|---|---|
| 0 | current bit 11 | membrane potential bit a | spike bit 0 |
| 1 | current bit 12 | membrane potential bit b | unspecified |
| 2 | current bit 13 | membrane potential bit c | unspecified |
| 3 | current bit 14 | membrane potential bit d | unspecified |
| 4 | current bit 15 | membrane potential bit e | unspecified |
| 5 | current bit 16 | membrane potential bit f | unspecified |
| 6 | current bit 17 | membrane potential bit g | unspecified |
| 7 | current bit 18 | membrane potential bit h | unspecified |