BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261017T181345Z
LAST-MODIFIED:20200407T181811Z
DTSTART:20200414T190000Z
DTEND:20200414T200000Z
UID:event2327@bu.edu
URL:http://physics.bu.edu/internal/events/show/2327
SUMMARY:Scale-invariant neural dynamics for cognitive behavior
DESCRIPTION:Featuring Yue Liu\, Boston University\, Physics Department\n\nP
	art of the Departmental Seminars.\n\nThe brain is operating in a world with
	 rich dynamics across a wide range of timescales\, therefore the  collectiv
	e activity of the large of number of neurons in the brain should reflect th
	is multi-scale dynamics. Limited by experimental techniques and the nature 
	of laboratory behavior\, most established results in systems neuroscience c
	oncern the short-term responses of single neurons to features in the world.
	 Recently\, new techniques for large-scale and chronic measurements of neur
	al activity open up the opportunity to investigate neural dynamics across d
	ifferent timescales. In this talk I will present modeling\, theoretical and
	 data analysis work on a particular type of temporal dynamics - scale-invar
	iant dynamics - which has been implicated by both behavioral experiments an
	d neural data. I will start with a neural circuit model that combines slow 
	intracellular calcium dynamics with the Post approximation of the inverse L
	aplace transform to produce scale-invariant sequential neural activity and 
	point out evidence for the elements of the model in neural data. I will the
	n present a theoretical analysis on the ability for a linear recurrent neur
	al network to generate scale-invariant neural activity. I will show that th
	e network connectivity matrix should have a geometric series of eigenvalues
	 and translated eigenvectors if the eigenvalues are real and distinct. Simi
	lar but less compact results hold for matrices with complex or degenerate e
	igenvalues. Finally I will show the existence of repeatable neural dynamics
	 on the timescale of minutes in multiple neural recordings of rodents perfo
	rming various cognitive tasks. Taken together\, these results show that neu
	ral activity has important dynamics over a much wider range of timescales t
	hen previously thought\, and that the requirement for scale-invariance prov
	ides interesting constraints for neural circuit models.\n\n\n-----\n\nZoom 
	Meeting\nhttps://bostonu.zoom.us/j/365061062\n\nMeeting ID: 365 061 062
LOCATION: \, \, 
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
END:VCALENDAR