2011 Telluride Neuromorphic Cognition Workshop Topic Areas and other work groups
Workshop results: Enter the results of your topic areas here
There are four kinds of groups to subscribe to:
- Main Topic Areas
- Invited tutorials
- Method Tutorials
- Discussion Groups? (separate page)
- Recreational Groups? (separate page)
Main Topic Areas
Click on each topic title to see more details of the proposed work for the topic.
- Organized by ??
http://neuromorphs.net/nm/wiki/2012/att12
Computational Neuroscience Talks
Members:
- Organized by Terrence SejnowskiInvited Tutorials
Neuromorphic Asynchronous Circuits
Members:
Leaders: Rajit Manohar (Cornell), Shih-Chii Liu (UZH and ETH Zurich)
Subscribe to this special invited tutorial workgroup to learn and implement neuromorphic VLSI chips with asynchronous digital circuits. We will also provide a tutorial introduction to asynchronous design using state-of-the-art tools for designing asynchronous circuits and do hands-on exercises.
Methods Tutorials
Using SubVersion for projects tutorial
Members:
Leaders: Tobi Delbruck, Daniel B. Fasnacht
Subscribe to this group if you will working on any projects and have not used subversion. This is a mandatory tutorial for everyone doing any project who is not a Pro in SVN! This one-session tutorial will show you how to use the incredibly useful SubVersion for version control, which means sharing code, data, etc in a managed way. What is subversion? Find out here. (We'll be using it in Telluride extensively). Take a look at the work group to pre-install the necessary tools.
jAER: event-based sensory-motor processing
Members:
Leaders: Tobi Delbruck
Learn about real time digital signal processing of address-event representation sensor output using [ jAER open source software] and hardware for AER, including using a [ silicon retina] and a silicon cochlea to build a fast visual or auditory robot. These sensors will be used with jAER for several topic areas at the workshop.
ABCs of on-chip bias generators
Members:
Leader: Tobi Delbruck
Provide your chip with a diffuse neural parameter control. Join this 3 or 4 session mostly blackboard and interactive hardware demo tutorial to learn how to build neuromorphic chips that don't require any pots or off-chip analog components and that are temperature voltage and process insensitive with digital control of parameters.
SMD Soldering Tutorial
Members:
Leader: Daniel B. Fasnacht
If you are involved with building printed circuit boards, you may not know how deal with surface mount components. Because of their superiority in automated assembly, impedance characteristics and actual size, surface mounted components are nowadays often the only available package variant. It takes the correct equipment and some practice to hand solder them and to use them in designs. In this tutorial, we will show you how to solder SMD components and what equipment you will need to use these back at home.
USB Bootcamp
Members: Daniel B. Fasnacht
Leaders: Daniel B. Fasnacht
Learn how to use USB (Universal Serial Bus - the thing you have on every PC) to interface to neuromorphic chips and actuators. Write your own USB driver, make a robot that uses a silicon retina, write microcontroller firmware for the first time. Unlock the power of combining ubiquitous PC digital computation with your own hardware.
Hands-on Overview of FPAA Chips and Tools
Members:
Leaders: Hasler, Samuel Shapero
Large-Scale Field Programmable Analog Arrays (FPAA) enables a configurable approach to analog and mixed signal approaches typical of digital systems (i.e. FPGAs, uP). Many important aspects of neuromorphic design can be implemented in physical approaches; therefore having such techniques makes these device, circuit, and system approaches accessible to a wider audience. This tutorial will introduce in the theory, chips, boards, and tools over hands-on 2-3 sessions approach. These approaches provide a useful framework for discussing where to use neuromorphic type design approaches in a range of applications. We can also discuss related topics to these approaches, including programmable (floating-gate) circuits, that enable memory, programmable devices, and adaptive devices in a dense, low-power way into our neuromorphic systems.
