title: Spatial information in large-scale neural recordings.
abstract: To record from a given neuron, a recording technology must be able to separate the activity of that neuron from the activity of its neighbors. Here, we develop a Fisher information based framework to determine the conditions under which this is feasible for a given technology. This framework combines measurable point spread functions with measurable noise distributions to produce theoretical bounds on the precision with which a recording technology can localize neural activities. If there is sufficient information to uniquely localize neural activities, then a technology will, from an information theoretic perspective, be able to record from these neurons. We (1) describe this framework, and (2) demonstrate its application in model experiments. This method generalizes to many recording devices that resolve objects in space and should be useful in the design of next-generation scalable neural recording systems.
authors: Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University Chicago, IL, USA.
authors: Thaddeus R
authors: TR
authors: Cybulski
authors: Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University Chicago, IL, USA.
authors: Joshua I
authors: JI
authors: Glaser
authors: Biophysics Program, Harvard University Boston, MA, USA ; Wyss Institute, Harvard University Boston, MA, USA.
authors: Adam H
authors: AH
authors: Marblestone
authors: Department of Genetics, Harvard Medical School, Harvard University Boston, MA, USA.
authors: Bradley M
authors: BM
authors: Zamft
authors: Media Lab, Massachusetts Institute of Technology Cambridge, MA, USA ; Department of Biological Engineering, Massachusetts Institute of Technology Cambridge, MA, USA ; McGovern Institute, Massachusetts Institute of Technology Cambridge, MA, USA.
authors: Edward S
authors: ES
authors: Boyden
authors: Biophysics Program, Harvard University Boston, MA, USA ; Wyss Institute, Harvard University Boston, MA, USA ; Department of Genetics, Harvard Medical School, Harvard University Boston, MA, USA.
authors: George M
authors: GM
authors: Church
authors: Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University Chicago, IL, USA ; Department of Physiology, Northwestern University Chicago, IL, USA ; Department of Applied Mathematics, Northwestern University Chicago, IL, USA.
authors: Konrad P
authors: KP
authors: Kording
keywords: electrical recording; extracellular recording; fisher information; neural recording; optics; resolution; statistics; technology design
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