Abstract
In spike sorting systems, front-end electronics is a crucial pre-processing step that not only has a direct impact on detection and sorting accuracy, but also on power and silicon area. In this work, a behavioural front-end model is proposed to assess the impact of the design parameters (including signal-to-noise ratio, filter type/order, bandwidth, converter resolution/rate) on subsequent spike processing. Initial validation of the model is provided by applying a test stimulus to a hardware platform and comparing the measured circuit response to the expected from the behavioural model. Our model is then used to demonstrate the effect of the Analogue Front-End (AFE) on subsequent spike processing by testing established spike detection and sorting methods on a selection of systems reported in the literature. It is revealed that although these designs have a wide variation in design parameters (and thus also circuit complexity), the ultimate impact on spike processing performance is relatively low (10-15%). This can be used to inform the design of future systems to have an efficient AFE whilst also maintaining good processing performance.
Highlights
U NDERSTANDING how the action potentials propagating through billions of neurons in the brain produce our thoughts, perceptions, and actions is one of the greatest challenges of 21st century science
These will be used as the metric for evaluating the effect of different neural interface architectures on detection and sorting
Is the unit step function which ensures that detection performance is zero when the number of errors are higher or equal to number of spikes
Summary
U NDERSTANDING how the action potentials propagating through billions of neurons in the brain produce our thoughts, perceptions, and actions is one of the greatest challenges of 21st century science. The ability to interface to these neurons using electronics is presenting new opportunities for neural rehabilitation with prosthetic devices. Sensory cochlear implants, are already impacting the quality of life of around 300,000 individuals with profound deafness [1]. Owing to the developments in robotics, neuroscience and microelectronics, emerging motor prosthetics have already demonstrated that mobility, lost due to spinal cord injury or neural diseases, could be restored [2]. Manuscript received September 04, 2013; revised December 09, 2013, February 13, 2014, and March 05, 2014; accepted March 19, 2014.
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