Commercial development of microwire bundle technology for massively parallel neural recording

DESCRIPTION provided by applicant This proposal describes a novel approach for recording from tens of thousands of neurons simultaneously using bundles of microwires that are each smaller than a human hair To accomplish this thousands of microwires are bundled together with one end being inserted into the brain and the other being bonded to a high speed image sensor chip that reads out the voltages on each wire The sensor output can then be acquired to a PC using standard frame grabber technology This approach was developed as part of an international collaboration between the research laboratories of Andreas Schaefer UCL UK and Nicholas Melosh Stanford University CA The company Paradromics was created specifically to develop the academic prototype system into a robust commercial product Significance Neural circuits are composed of many thousands of neurons and information is encoded within these networks by the relative timing of action potentials In order to understand how neural circuits behave and how they impact human health and behavior new techniques are necessary that can resolve the individual spiking activity of many thousands of neurons simultaneously Here we propose a technology that is not only capable of sampling tens of thousands of channels but can do so in vivo at depths where non invasive optical methods are infeasible Innovation Our approach is innovative because it combines two highly scalable technologies for the first time ever high resolution CMOS camera sensors and microwire bundles Our prototype device uses bundles of tens of thousands of wires and a x sensor chip but in principle we can scale up both bundles and sensors to millions of channels without any architectural changes Approach Here we propose to turn an exciting new laboratory prototype into a turnkey research tool for neuroscience labs around the world To accomplish this we propose a series of simple but important improvements to our existing prototype system that will enable us to increase the number of available recording channels by drastically improving bundle sensor connectivity We also propose to develop data acquisition software that will make using the system as simple and intuitive as possible Market We estimate there are approximately active multi channel recording systems each with an average less than channels Our first product will have andgt channels Two of our systems will therefore be capable of recording from more neurons simultaneously than all of the other multi channel recording systems in the world combined Further because we are harnessing already developed CMOS technology we think that we can provide these systems for a price comparable to existing multi channel recording systems from major suppliers PUBLIC HEALTH RELEVANCE Circuits in the brain involve many thousands of neurons working together in complex networks to accomplish tasks Current techniques for recording in vivo brain activity canandapos t resolve the individual activities of this many neurons so many fundamental questions about how the brain works remain unanswered Here we describe a new method for large scale electrical recordings in the brain that allows for measuring the activity of unprecedented tens of thousands of neurons simultaneously With the proposed funding we will develop our existing prototype into a robust product that can be broadly disseminated and incorporated into regular neuroscience practice