Literature DB >> 17344376

Precise alignment of micromachined electrode arrays with V1 functional maps.

Ian Nauhaus1, Dario L Ringach.   

Abstract

Recent theoretical models of primary visual cortex predict a relationship between receptive field properties and the location of the neuron within the orientation maps. Testing these predictions requires the development of new methods that allow the recording of single units at various locations across the orientation map. Here we present a novel technique for the precise alignment of functional maps and array recordings. Our strategy consists of first measuring the orientation maps in V1 using intrinsic optical imaging. A micromachined electrode array is subsequently implanted in the same patch of cortex for electrophysiological recordings, including the measurement of orientation tuning curves. The location of the array within the map is obtained by finding the position that maximizes the agreement between the preferred orientations measured electrically and optically. Experimental results of the alignment procedure from two implementations in monkey V1 are presented. The estimated accuracy of the procedure is evaluated using computer simulations. The methodology should prove useful in studying how signals from the local neighborhood of a neuron, thought to provide a dominant feedback signal, shape the receptive field properties in V1.

Mesh:

Year:  2007        PMID: 17344376     DOI: 10.1152/jn.00120.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  15 in total

1.  Neuronal selectivity and local map structure in visual cortex.

Authors:  Ian Nauhaus; Andrea Benucci; Matteo Carandini; Dario L Ringach
Journal:  Neuron       Date:  2008-03-13       Impact factor: 17.173

2.  Local origin of field potentials in visual cortex.

Authors:  Steffen Katzner; Ian Nauhaus; Andrea Benucci; Vincent Bonin; Dario L Ringach; Matteo Carandini
Journal:  Neuron       Date:  2009-01-15       Impact factor: 17.173

3.  Population coding under normalization.

Authors:  Dario L Ringach
Journal:  Vision Res       Date:  2009-12-23       Impact factor: 1.886

4.  Topological analysis of population activity in visual cortex.

Authors:  Gurjeet Singh; Facundo Memoli; Tigran Ishkhanov; Guillermo Sapiro; Gunnar Carlsson; Dario L Ringach
Journal:  J Vis       Date:  2008-06-30       Impact factor: 2.240

5.  Area MT encodes three-dimensional motion.

Authors:  Thaddeus B Czuba; Alexander C Huk; Lawrence K Cormack; Adam Kohn
Journal:  J Neurosci       Date:  2014-11-19       Impact factor: 6.167

6.  Functional specialization of seven mouse visual cortical areas.

Authors:  James H Marshel; Marina E Garrett; Ian Nauhaus; Edward M Callaway
Journal:  Neuron       Date:  2011-12-22       Impact factor: 17.173

7.  Automated identification of mouse visual areas with intrinsic signal imaging.

Authors:  Ashley L Juavinett; Ian Nauhaus; Marina E Garrett; Jun Zhuang; Edward M Callaway
Journal:  Nat Protoc       Date:  2016-12-01       Impact factor: 13.491

8.  GABAA inhibition controls response gain in visual cortex.

Authors:  Steffen Katzner; Laura Busse; Matteo Carandini
Journal:  J Neurosci       Date:  2011-04-20       Impact factor: 6.167

9.  Topography and areal organization of mouse visual cortex.

Authors:  Marina E Garrett; Ian Nauhaus; James H Marshel; Edward M Callaway
Journal:  J Neurosci       Date:  2014-09-10       Impact factor: 6.167

10.  Precise Targeting of Single Microelectrodes to Orientation Pinwheel Centers.

Authors:  Xue Mei Song; Ming Li; Tao Xu; Dewen Hu; Anna Wang Roe
Journal:  Bio Protoc       Date:  2020-06-05
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