SBASSE Biology Talk-2016
Computation in Neural Systems: From Biophysics to Deep Learning, Neuromorphic Engineering and beyond
Date: 20th December, 2016 (Tuesday)
Time: 3:0 pm – 4:0 pm
Venue: Smart Room, SBASSE 5th Floor
Host: Dr. Muhammad Tariq
Human brain is a fascinating device in which a single neuron is able to remarkably integrate the spiking information coming from a network of hundreds, thousands and millions of neurons. Taking this inspiration from neurobiology, we are able to model a large scale deep neural network which is currently state-of-the-art in real-world applications such as object classification, speech recognition, etc. To further improve the performance of Artificial Intelligent Systems, a deep neural network would only run best on a brain-inspired hardware. In this perspective, neuromorphic engineering stages a playground to emulate the computational functionality of neurons onto a single electronic chip.
In this talk, the functionality of a neuron, deep neural networks and how do we implement these models on a neuromorphic hardware will be presented. Furthermore, I will be scratching the surface about the impact of computational neuroscience and deep learning in both academics and industry.
Asim completed his Masters in Neural Systems and Computation (2015) at UZH/ETH Zurich and currently pursuing his PhD in the same field. He has worked as a researcher in the Brain-inspired computing team at IBM Research-Almaden, CA and Brain and Cognitive Sciences department at Massachusetts Institute of Technology (MIT), Cambridge, MA. His research work is focused on neural circuits, deep neural networks and neuromorphic engineering.