1. Spike Based Visual Encoding Activity level (a m ) Visual encoder implemented in the NEF as network of 1024 laterally inhibiting neural columns Network in Nengo To establish orientation- based saliency we must first encode an image using oriented receptive fields Samuel Shapero and Siddharth Joshi

2. Spike Based Encoding: Results Input Sparse Neural Encoding Image Reconstructed from Encoding We encoded 24x24 videos from the Silicon Retina in real time. (The silicon retina transmits events signifying change in luminance.) We were also able to encode static images

3. Spike Based Saliency Input Sparse Neural Encoding Reconstructed Image Once the image was encoded by orientation, we sorted the neural columns into channels Lateral inhibition within each channel created a mechanism for orientation based saliency Saliency Map