This blog is an attempt at providing a common meeting ground for issues related to neural engineering, and theoretical and computational neuroscience. The brain is ultimately a system, and to understand it as a system and understand its emergent properties, it necessitates the use of mathematics and its practical counterparts, such as physics and engineering. Despite the success of the reductionist approach, we will never understand how the brain works by considering a single protein, or ion channel, or diffusible ligand at a time. However, the details inform the whole. The objective of this blog is explore how we put it all together. But even more than that. Because beyond attempting to understand how the biological brain works, neural engineering and theoretical and computational neuroscience offer the opportunity to take our understanding about how the brain works, abstract away the rules that it uses, and apply those rules (often as algorithms of some sort) to non-biological neuromimetic applications. Some examples of such applications include various forms of artificial intelligence, robotics, and new computing architectures (both in hardware and code).
Taking a cue from several of the very successful (and influential) mathematics blogs, the intent is not for me to dictate but to facilitate. I do not want to be the one to write this blog, I want the community to write it. So please send me things to post and I will do so, with an appropriate introduction and background to the author. It could be a commentary or your interpretation about a particular paper of interest, a viewpoint or philosophical position you want to express, a hot off the press preliminary result you may want to share or get input on from the community, a technical tutorial (which can be very influential and valuable) announcements or news items of interest, or any other scholarly activity this forum might be appropriate for. In addition, I want to encourage entries and discussions about mathematical techniques or methods that may be new or of interest to theoretical and computational neuroscience. Tutorials in this case are critical, and I encourage everyone to think about this. But please frame it in a way that provides context for how such a method may be applied to study brain dynamics or extend what we know about the computational aspects of neuroscience beyond neurobiology to neuromimetic applications. And of course, everyone will get to comment. This is very much an experiment, so let's see what the results are.