Excess Synchrony in Motor Cortical Neurons Provides Redundant Direction Information With That From Coarse Temporal Measures
1 School of Psychology, University of St. Andrews, Fife KY16 9JU, United Kingdom; 2 Department of Neuroscience, Brown University, Providence, Rhode Island 02912; and 3 National Institute of Mental Health/National Institutes of Health, Bethesda, Maryland 20892 Oram, Mike W., Nicholas G. Hatsopo...
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| Veröffentlicht in: | Journal of neurophysiology 2001-10, Vol.86 (4), p.1700-1716 |
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| creator | Oram, Mike W Hatsopoulos, Nicholas G Richmond, Barry J Donoghue, John P |
| description | 1 School of Psychology, University of St.
Andrews, Fife KY16 9JU, United Kingdom;
2 Department of Neuroscience, Brown University,
Providence, Rhode Island 02912; and 3 National
Institute of Mental Health/National Institutes of Health, Bethesda,
Maryland 20892
Oram, Mike W.,
Nicholas
G. Hatsopoulos,
Barry J. Richmond, and
John P. Donoghue.
Excess Synchrony in Motor Cortical Neurons Provides Redundant
Direction Information With That From Coarse Temporal Measures. J. Neurophysiol. 86: 1700-1716, 2001. Previous studies have shown that measures of fine temporal
correlation, such as synchronous spikes, across responses of motor cortical neurons carries more directional information than that predicted from statistically independent neurons. It is also known, however, that the coarse temporal measures of responses, such as spike
count, are not independent. We therefore examined whether the
information carried by coincident firing was related to that of
coarsely defined spike counts and their correlation. Synchronous spikes
were counted in the responses from 94 pairs of simultaneously recorded
neurons in primary motor cortex (MI) while monkeys performed arm
movement tasks. Direct measurement of the movement-related information
indicated that the coincident spikes (1- to 5-ms precision) carry
~10% of the information carried by a code of the two spike counts.
Inclusion of the numbers of synchronous spikes did not add information
to that available from the spike counts and their coarse temporal
correlation. To assess the significance of the numbers of coincident
spikes, we extended the stochastic spike count matched (SCM) model to
include correlations between spike counts of the individual neural
responses and slow temporal dependencies within neural responses (~30
Hz bandwidth). The extended SCM model underestimated the numbers of
synchronous spikes. Therefore as with previous studies, we found that
there were more synchronous spikes in the neural data than could be
accounted for by this stochastic model. However, the SCM model accounts
for most ( R 2 = 0.93 ± 0.05, mean ± SE) of the differences in the observed number of
synchronous spikes to different directions of arm movement, indicating
that synchronous spiking is directly related to spike counts and their
broad correlation. Further, this model supports the information
theoretic analysis that the synchronous spikes do not provide
directional information beyond that available from the firing rates of
the sa |
| doi_str_mv | 10.1152/jn.2001.86.4.1700 |
| format | Article |
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Andrews, Fife KY16 9JU, United Kingdom;
2 Department of Neuroscience, Brown University,
Providence, Rhode Island 02912; and 3 National
Institute of Mental Health/National Institutes of Health, Bethesda,
Maryland 20892
Oram, Mike W.,
Nicholas
G. Hatsopoulos,
Barry J. Richmond, and
John P. Donoghue.
Excess Synchrony in Motor Cortical Neurons Provides Redundant
Direction Information With That From Coarse Temporal Measures. J. Neurophysiol. 86: 1700-1716, 2001. Previous studies have shown that measures of fine temporal
correlation, such as synchronous spikes, across responses of motor cortical neurons carries more directional information than that predicted from statistically independent neurons. It is also known, however, that the coarse temporal measures of responses, such as spike
count, are not independent. We therefore examined whether the
information carried by coincident firing was related to that of
coarsely defined spike counts and their correlation. Synchronous spikes
were counted in the responses from 94 pairs of simultaneously recorded
neurons in primary motor cortex (MI) while monkeys performed arm
movement tasks. Direct measurement of the movement-related information
indicated that the coincident spikes (1- to 5-ms precision) carry
~10% of the information carried by a code of the two spike counts.
Inclusion of the numbers of synchronous spikes did not add information
to that available from the spike counts and their coarse temporal
correlation. To assess the significance of the numbers of coincident
spikes, we extended the stochastic spike count matched (SCM) model to
include correlations between spike counts of the individual neural
responses and slow temporal dependencies within neural responses (~30
Hz bandwidth). The extended SCM model underestimated the numbers of
synchronous spikes. Therefore as with previous studies, we found that
there were more synchronous spikes in the neural data than could be
accounted for by this stochastic model. However, the SCM model accounts
for most ( R 2 = 0.93 ± 0.05, mean ± SE) of the differences in the observed number of
synchronous spikes to different directions of arm movement, indicating
that synchronous spiking is directly related to spike counts and their
broad correlation. Further, this model supports the information
theoretic analysis that the synchronous spikes do not provide
directional information beyond that available from the firing rates of
the same pool of directionally tuned MI neurons. These results show
that detection of precisely timed spike patterns above chance levels
does not imply that those spike patterns carry information unavailable
from coarser population codes but leaves open the possibility that
excess synchrony carries other forms of information or serves other
roles in cortical information processing not studied here.</description><identifier>ISSN: 0022-3077</identifier><identifier>EISSN: 1522-1598</identifier><identifier>DOI: 10.1152/jn.2001.86.4.1700</identifier><identifier>PMID: 11600633</identifier><language>eng</language><publisher>United States: Am Phys Soc</publisher><subject>Action Potentials - physiology ; Animals ; Electrophysiology ; Macaca fascicularis ; Motor Cortex - cytology ; Motor Cortex - physiology ; Movement - physiology ; Neurons - physiology ; Nonlinear Dynamics ; Regression Analysis ; Time Factors</subject><ispartof>Journal of neurophysiology, 2001-10, Vol.86 (4), p.1700-1716</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-fb680de27f3a7198e6fc985e388cb3737c38afe2fe0e69cf0e4d986b3583af123</citedby><cites>FETCH-LOGICAL-c447t-fb680de27f3a7198e6fc985e388cb3737c38afe2fe0e69cf0e4d986b3583af123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,3028,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11600633$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oram, Mike W</creatorcontrib><creatorcontrib>Hatsopoulos, Nicholas G</creatorcontrib><creatorcontrib>Richmond, Barry J</creatorcontrib><creatorcontrib>Donoghue, John P</creatorcontrib><title>Excess Synchrony in Motor Cortical Neurons Provides Redundant Direction Information With That From Coarse Temporal Measures</title><title>Journal of neurophysiology</title><addtitle>J Neurophysiol</addtitle><description> 1 School of Psychology, University of St.
Andrews, Fife KY16 9JU, United Kingdom;
2 Department of Neuroscience, Brown University,
Providence, Rhode Island 02912; and 3 National
Institute of Mental Health/National Institutes of Health, Bethesda,
Maryland 20892
Oram, Mike W.,
Nicholas
G. Hatsopoulos,
Barry J. Richmond, and
John P. Donoghue.
Excess Synchrony in Motor Cortical Neurons Provides Redundant
Direction Information With That From Coarse Temporal Measures. J. Neurophysiol. 86: 1700-1716, 2001. Previous studies have shown that measures of fine temporal
correlation, such as synchronous spikes, across responses of motor cortical neurons carries more directional information than that predicted from statistically independent neurons. It is also known, however, that the coarse temporal measures of responses, such as spike
count, are not independent. We therefore examined whether the
information carried by coincident firing was related to that of
coarsely defined spike counts and their correlation. Synchronous spikes
were counted in the responses from 94 pairs of simultaneously recorded
neurons in primary motor cortex (MI) while monkeys performed arm
movement tasks. Direct measurement of the movement-related information
indicated that the coincident spikes (1- to 5-ms precision) carry
~10% of the information carried by a code of the two spike counts.
Inclusion of the numbers of synchronous spikes did not add information
to that available from the spike counts and their coarse temporal
correlation. To assess the significance of the numbers of coincident
spikes, we extended the stochastic spike count matched (SCM) model to
include correlations between spike counts of the individual neural
responses and slow temporal dependencies within neural responses (~30
Hz bandwidth). The extended SCM model underestimated the numbers of
synchronous spikes. Therefore as with previous studies, we found that
there were more synchronous spikes in the neural data than could be
accounted for by this stochastic model. However, the SCM model accounts
for most ( R 2 = 0.93 ± 0.05, mean ± SE) of the differences in the observed number of
synchronous spikes to different directions of arm movement, indicating
that synchronous spiking is directly related to spike counts and their
broad correlation. Further, this model supports the information
theoretic analysis that the synchronous spikes do not provide
directional information beyond that available from the firing rates of
the same pool of directionally tuned MI neurons. These results show
that detection of precisely timed spike patterns above chance levels
does not imply that those spike patterns carry information unavailable
from coarser population codes but leaves open the possibility that
excess synchrony carries other forms of information or serves other
roles in cortical information processing not studied here.</description><subject>Action Potentials - physiology</subject><subject>Animals</subject><subject>Electrophysiology</subject><subject>Macaca fascicularis</subject><subject>Motor Cortex - cytology</subject><subject>Motor Cortex - physiology</subject><subject>Movement - physiology</subject><subject>Neurons - physiology</subject><subject>Nonlinear Dynamics</subject><subject>Regression Analysis</subject><subject>Time Factors</subject><issn>0022-3077</issn><issn>1522-1598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFu1DAURS0EotPCB7BBXtHVBDtOYmeJhg5UaimCQSwtj_PceJTYwU5Ko_48HmYEbCpWfvI79yzeRegVJRmlZf5257KcEJqJKisyygl5ghbpP1_SshZP0YKQNDPC-Qk6jXFHCOElyZ-jE0orQirGFujh4l5DjPjr7HQbvJuxdfjajz7glQ-j1arDn2BKm4g_B39nG4j4CzSTa5Qb8XsbQI_WO3zpjA-9-j1_t2OLN60a8Tr4PolUiIA30A8-JN81qDgFiC_QM6O6CC-P7xn6tr7YrD4ur24-XK7eXS11UfBxabaVIA3k3DDFaS2gMroWJTAh9JZxxjUTykBugEBVa0OgaGpRbVkpmDI0Z2fozcE7BP9jgjjK3kYNXacc-ClKnqcrloL_F6QiJ7SqWQLpAdTBxxjAyCHYXoVZUiL31cidk_tqpKhkIffVpMzro3za9tD8TRy7SMD5AWjtbfszHVYO7Ryt7_ztvPf9q2KPk-up6zZwP6bIn4QcGsN-AV09rGg</recordid><startdate>20011001</startdate><enddate>20011001</enddate><creator>Oram, Mike W</creator><creator>Hatsopoulos, Nicholas G</creator><creator>Richmond, Barry J</creator><creator>Donoghue, John P</creator><general>Am Phys Soc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>20011001</creationdate><title>Excess Synchrony in Motor Cortical Neurons Provides Redundant Direction Information With That From Coarse Temporal Measures</title><author>Oram, Mike W ; Hatsopoulos, Nicholas G ; Richmond, Barry J ; Donoghue, John P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-fb680de27f3a7198e6fc985e388cb3737c38afe2fe0e69cf0e4d986b3583af123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Action Potentials - physiology</topic><topic>Animals</topic><topic>Electrophysiology</topic><topic>Macaca fascicularis</topic><topic>Motor Cortex - cytology</topic><topic>Motor Cortex - physiology</topic><topic>Movement - physiology</topic><topic>Neurons - physiology</topic><topic>Nonlinear Dynamics</topic><topic>Regression Analysis</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oram, Mike W</creatorcontrib><creatorcontrib>Hatsopoulos, Nicholas G</creatorcontrib><creatorcontrib>Richmond, Barry J</creatorcontrib><creatorcontrib>Donoghue, John P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neurophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oram, Mike W</au><au>Hatsopoulos, Nicholas G</au><au>Richmond, Barry J</au><au>Donoghue, John P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Excess Synchrony in Motor Cortical Neurons Provides Redundant Direction Information With That From Coarse Temporal Measures</atitle><jtitle>Journal of neurophysiology</jtitle><addtitle>J Neurophysiol</addtitle><date>2001-10-01</date><risdate>2001</risdate><volume>86</volume><issue>4</issue><spage>1700</spage><epage>1716</epage><pages>1700-1716</pages><issn>0022-3077</issn><eissn>1522-1598</eissn><abstract> 1 School of Psychology, University of St.
Andrews, Fife KY16 9JU, United Kingdom;
2 Department of Neuroscience, Brown University,
Providence, Rhode Island 02912; and 3 National
Institute of Mental Health/National Institutes of Health, Bethesda,
Maryland 20892
Oram, Mike W.,
Nicholas
G. Hatsopoulos,
Barry J. Richmond, and
John P. Donoghue.
Excess Synchrony in Motor Cortical Neurons Provides Redundant
Direction Information With That From Coarse Temporal Measures. J. Neurophysiol. 86: 1700-1716, 2001. Previous studies have shown that measures of fine temporal
correlation, such as synchronous spikes, across responses of motor cortical neurons carries more directional information than that predicted from statistically independent neurons. It is also known, however, that the coarse temporal measures of responses, such as spike
count, are not independent. We therefore examined whether the
information carried by coincident firing was related to that of
coarsely defined spike counts and their correlation. Synchronous spikes
were counted in the responses from 94 pairs of simultaneously recorded
neurons in primary motor cortex (MI) while monkeys performed arm
movement tasks. Direct measurement of the movement-related information
indicated that the coincident spikes (1- to 5-ms precision) carry
~10% of the information carried by a code of the two spike counts.
Inclusion of the numbers of synchronous spikes did not add information
to that available from the spike counts and their coarse temporal
correlation. To assess the significance of the numbers of coincident
spikes, we extended the stochastic spike count matched (SCM) model to
include correlations between spike counts of the individual neural
responses and slow temporal dependencies within neural responses (~30
Hz bandwidth). The extended SCM model underestimated the numbers of
synchronous spikes. Therefore as with previous studies, we found that
there were more synchronous spikes in the neural data than could be
accounted for by this stochastic model. However, the SCM model accounts
for most ( R 2 = 0.93 ± 0.05, mean ± SE) of the differences in the observed number of
synchronous spikes to different directions of arm movement, indicating
that synchronous spiking is directly related to spike counts and their
broad correlation. Further, this model supports the information
theoretic analysis that the synchronous spikes do not provide
directional information beyond that available from the firing rates of
the same pool of directionally tuned MI neurons. These results show
that detection of precisely timed spike patterns above chance levels
does not imply that those spike patterns carry information unavailable
from coarser population codes but leaves open the possibility that
excess synchrony carries other forms of information or serves other
roles in cortical information processing not studied here.</abstract><cop>United States</cop><pub>Am Phys Soc</pub><pmid>11600633</pmid><doi>10.1152/jn.2001.86.4.1700</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_pubmed_primary_11600633 |
| source | MEDLINE; American Physiological Society; EZB-FREE-00999 freely available EZB journals |
| subjects | Action Potentials - physiology Animals Electrophysiology Macaca fascicularis Motor Cortex - cytology Motor Cortex - physiology Movement - physiology Neurons - physiology Nonlinear Dynamics Regression Analysis Time Factors |
| title | Excess Synchrony in Motor Cortical Neurons Provides Redundant Direction Information With That From Coarse Temporal Measures |
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