IEEE Boise Section

Spiking neural networks are biologically plausible counterparts of the artificial neural networks, artificial neuralnetworks are usually trained with stochastic gradient descent and spiking neural networks are trained with spiketiming dependant plasticity. Training deep convolutional neural networks is a memory and power intensive job.Spiking networks could potentially help in reducing the power usage. There is a large pool of tools for one tochose to train artificial neural networks of any size, on the other hand all the available tools to simulate spikingneural networks are geared towards computational neuroscience applications and they are not suitable for real lifeapplications. In this work we focus on implementing a spiking CNN using Tensorflow to examine behaviour of thenetwork and empirically study the effect of various parameters on learning capabilities and also study catastrophicforgetting in the spiking CNN and weight initialization problem in R-STDP using MNIST and N-MNIST datasets. Speaker(s): Ruthvik Vaila, Location: Room: 114 Bldg: Micron Engineering Building MEC 114 Boise State University Boise, Idaho 83706

Learn about the state of robotics and automation plus the biggest challenges facing robotics development today. Presented by Toyota Advanced Logistics (Bastien Solutions) roboticists working from their laboratory right here in Boise. Tiffany Greyson is the Lead Robotics Controls Engineer at Toyota Advanced Logistics after 13 years at HP as a PCB architect. She is a mommy of 3 kids and enjoys making jewelry out of electronics in her spare time. Akash Jinandra graduated from University of Central Florida 2 years ago with degrees in Computer and Electrical Engineering. He is now a robotics R&D engineer and designs autonomous fork trucks, robotic shuttles and product-picking arms. Akash got married and bought a house in the last three months so he is pretty much an adult now. Agenda: 6:15PM – 6:30PM Networking6:30PM – 7:30PM Presentation Location: Room: 110 Bldg: RUCH Boise State University 1375 W University Dr Boise, Idaho 83706