Now that we’re increasingly certain that alternating strabismus is something in its own right, with different perceptual side-effects to “regular” fixed strabismus, we’re starting to think about how we could better understand/categorise/explore what those perceptions are in a way that can be reliable reported….
Here are some initial ideas one the very simplest first steps we could take:
I’m just reading Dowling’s “Understanding the Brain : From cells, to behaviour, to cognition”. Sometimes I’m surprised by what I’ve forgotten, and sometimes he surprises with facts I hadn’t been aware of – so just in case you hadn’t heard of them either, I’ll mention a few here as I come across them – and paraphrase portions of the book for their relevance to vision therapy and reconstruction 🙂
I am really quite fascinated by when and what causes suppression. We can see from our quite simple approaches to triggering conflict that the idea of conflict neurons seems to make sense – but there are so many ways we could potentially test the edges of when and why conflict occurs, and push those boundaries.
Strabismus and Amblyopia are like a lock, which evolution has put in place to enforce monocular vision once a problem with binocular vision has been detected. We are learning how to pick that lock, how to open the visual system back up to a point where a person has a second chance at learning how to use both eyes again.
When building software, one is creating a simplified model of reality, capturing those parts which are relevant to achieving the system goals. This model is not generally not built to be passive, it should then interact with reality to alter the nature of reality. It’s an interesting feedback loop called “active modelling”. If we don’t iteratively test as we design and build, we will inevitably design systems that fail to capture reality and fail to then interact with it as desired. This is particularly true of systems which interact with people. Continue reading “Why is designing EyeSkills difficult? – a quick note”
For many animals with multiple eyes, their brains combine the electrical signals from each eye into a “master” (cyclopic) image which gives them stronger environmental awareness. Sometimes physical problems seem to prevent the emergence of binocular vision, and sometimes it simply never emerges due to poorly understood neurological issues.