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SUMMARY:LCN Seminar: Implications of neuronal diversity on information tra
 nsmission in networks and population coding
DTSTART:20141218T133000
DTSTAMP:20260507T035958Z
UID:55ee98e87a3b53f3410679cb5ab02175fcaceef8b0fc452659285e2e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Julijana GJORGJIEVA\nCenter for Brain Science and Department o
 f Molecular and Cellular Biology\, Harvard University\nGain scaling is an 
 adaptive computation whereby a neural system's mapping between inputs and 
 outputs adjusts to dynamically span the varying range of incoming stimuli.
  We have demonstrated that gain scaling emerges during early development a
 s an intrinsic property of single neurons in mouse cortex\, coinciding wit
 h the disappearance of spontaneous waves of network activity. Using biophy
 sical models with different gain scaling properties\, I examine the abilit
 y of cortical networks to propagate waves of activity. My work demonstrate
 s that such changes can strongly affect how multi-layered feedforward netw
 orks represent and transmit information on multiple timescales. Young neur
 ons lacking gain scaling fire synchronously and transmit large amplitude e
 vents – thus\, are better suited for wave propagation. As these neurons 
 become gain scalers\, they become efficient encoders of fast input fluctua
 tions over few layers\, but lose the ability to transmit large-scale waves
 . This work underscores the significance of single neuron properties in go
 verning how neurons represent and propagate information.\nDiverse response
  properties may also emerge as an efficient coding strategy to maximize in
 formation transfer by a population of neurons. Indeed\, many sensory syste
 ms split the neural signal into multiple parallel pathways. As a specific 
 example\, I investigate the benefit for pathways splitting into ON and OFF
 \, which code for stimulus increments and decrements\, respectively. My wo
 rk suggests that the evolution of ON-OFF diversification in sensory system
 s may be driven by the benefits of lowering average metabolic cost\, espec
 ially in a world in which the relevant stimuli are sparse.
LOCATION:AAC132 http://plan.epfl.ch/?room=AAC132
STATUS:CONFIRMED
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