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Let's try it
you'll now just need the simple receptive field script and issue
- the demo consists of three panels: the input image, the input to the neuron, the output. the receptive field is defined by the first frame that is grabbed. Therefore after first use, I recommend to quit the program, draw a simple stimulus (a line on a paper, a grating, ...) and restart the program by holding the drawing close to the camera.
It's easy to do! A simple installation setup, a short script is enough to demonstrate an essential neuroscience experiment. The simplicity of python is essential in leveraging the complexity of hooking together different pieces of hardware.
There's yet no API for real-time neural simulations to my knowledge. Non von-Neumann architectures (that is algorithms using a different substrate than sequential computers) are becoming a possibility in the near future. Building such applications with real-time demo will enable to study neural models in a different way that the present 1) set-up 2) run 3) analyze workflow that is used in most neural simulators. Yet, this demo is over-simplistic and do not use the computational power of parallelism yet.
more info @ SimpleCellDemo page
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