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UID:ef21700baa426bc3c5cf7df50829bbeb
CATEGORIES:Mathematical Physics Seminar
CREATED:20210830T112519
SUMMARY:Population Dynamics in Neural Systems
LOCATION:zoom
DESCRIPTION:The ability to simultaneously record the activity from tens to thousands an
 d maybe even tens of thousands of neurons has allowed us to analyze the com
 putational role of neural population activity as opposed to single neuron a
 ctivity.  Recent work on a variety of cortical areas suggests that neural f
 unction may be built on the activation of population-wide activity patterns
 , the neural modes, rather than on the independent modulation of individual
  neural activity. These neural modes, the dominant covariation patterns wit
 hin the neural population, define a low dimensional neural manifold that ca
 ptures most of the variance in the recorded neural activity. We refer to th
 e time-dependent activation of the neural modes as their latent dynamics, a
 nd argue that latent cortical dynamics within the manifold are the fundamen
 tal and stable building blocks of neural population activity.\n
X-ALT-DESC;FMTTYPE=text/html:<p style="margin-bottom: 6px; text-align: center; background: white;">The a
 bility to simultaneously record the activity from tens to thousands and may
 be even tens of thousands of neurons has allowed us to analyze the computat
 ional role of neural population activity as opposed to single neuron activi
 ty.&nbsp; Recent work on a variety of cortical areas suggests that neural f
 unction may be built on the activation of population-wide activity patterns
 , the neural modes, rather than on the independent modulation of individual
  neural activity. These neural modes, the dominant covariation patterns wit
 hin the neural population, define a low dimensional neural manifold that ca
 ptures most of the variance in the recorded neural activity. We refer to th
 e time-dependent activation of the neural modes as their latent dynamics, a
 nd argue that latent cortical dynamics within the manifold are the fundamen
 tal and stable building blocks of neural population activity.</p>
CONTACT:Sara A. Solla – Northwestern University
DTSTAMP:20260827T051532
DTSTART;TZID=America/New_York:20210901T104500
DTEND;TZID=America/New_York:20210901T114500
SEQUENCE:0
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