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DTSTAMP:20260405T190555Z
UID:1615557600@ist.ac.at
DTSTART:20210312T150000
DTEND:20210312T160000
DESCRIPTION:Speaker: Astrid Prinz\nhosted by Tim Vogels\nAbstract: Neurons 
 and neural circuits can produce stereotyped and reliable output activity o
 n the basis of highly variable cellular\, synaptic\, and circuit propertie
 s. This is crucial for proper nervous system function throughout an animal
 ’s life in the face of growth\, perturbations\, and molecular turnover. 
 But how can reliable output arise from neurons and synapses whose paramete
 r vary between individuals in a population\, and within an individual over
  time?I will review how a combination of experimental and computational me
 thods can be used to examine how neuron and network function depends on th
 e underlying parameters\, such as neuronal membrane conductances and synap
 tic strengths. Within the high-dimensional parameter space of a neural sys
 tem\, the subset of parameter combinations that produce biologically funct
 ional neuron or circuit activity is captured by the notion of a ‘solutio
 n space’. I will describe solution space structures determined from elec
 trophysiology data\, ion channel expression levels across populations of n
 eurons and animals\, and computational parameter space explorations. A key
  finding centers on experimental and computational evidence for parameter 
 correlations that give structure to solution spaces. Computational modelin
 g suggests that such parameter correlations can be beneficial for constrai
 ning neuron and circuit properties to functional regimes\, while experimen
 tal results indicate that neural circuits may have evolved to implement so
 me of these beneficial parameter correlations at the cellular level.Finall
 y\, I will review modeling work and experiments that seek to illuminate ho
 w neural systems can homeostatically navigate their parameter spaces to st
 ably remain within their solution space and reliably produce functional ou
 tput\, or to return to their solution space after perturbations that tempo
 rarily disrupt proper neuron or network function.
LOCATION:Online\, ISTA
ORGANIZER:astrid.prinz@emory.edu
SUMMARY:Astrid Prinz: Neural circuit parameter variability\, robustness\, a
 nd homeostasis
URL:https://talks-calendar.ista.ac.at/events/2866
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