[Job-offers-cs] Postdoc in comp neuro at U Colorado SoM/Boulder

[Pekka Orponen]

The DiGregorio (University of Colorado School of Medicine) and 
Kilpatrick (University of Colorado Boulder)laboratories are searching 
for an expert in theoreticaland computational neuroscienceto explore the 
biological mechanism of neural population dynamics drivingsensory-motor 
transformations throughout the brain. Inparticular, the projectwill 
leverage biologically inspired artificial neural networks to explore 
howpatterns of large-scale neural activity are shaped by 
synapticdynamics tooptimize precise temporal associations required for 
the fine-tuning of motoractions (e.g. cerebellum) and performing 
Bayesian inference-like computations.

The successful candidate will benefitfrom working in a multidisciplinary 
team of cellular and circuitneurophysiologists generating cutting-edge 
datasets of population recordingsusing calcium, voltage, and 
neurotransmitter imaging, optogenetics, and high-densitysingle-unit 
recordings using Neuropixels. TheDepartment of Physiology andBiophysics 
is highly collaborative with several laboratories spanning manyaspects 
of sensory and motor processing. Postdoctoralfellows in the 
DiGreogriolaboratory will benefit from tight-knit collaboration within 
the Cerebellum andMotor Control group (Christie, DiGregorio, and Person 
labs)and with othersystems neuroscience laboratories within the 
Department (Denman, Felsen,Poleg-Polsky, and Welle). The theoretical 
framework will be anextension ofprevious work from the DiGregorio and 
Kilpatrick laboratories (see references).In the Applied Mathematics 
department at the University of ColoradoBoulder, fellowswill leverage a 
rich and active environment of researchers in nonlineardynamics, 
mathematical biology, and data science. Fellows will also benefitfrom 
other ongoing collaborations the Kilpatrick laboratory has 
withexperimentalists collecting neural and behavioral data on decision 
theory (JoshGold, Penn)and working memory (Tim Buschman, Princeton; Paul 
Bays, Cambridge).

Required skills: Experience in mathematical modeling ofANNs and/or PhD 
in physics, mathematics, engineering, or computer science.

How to apply: Please send a CV and a letter ofmotivation highlighting 
your qualifications and specific interests in theproject and laboratory 
to David DiGregorio(david.digregorio at cuanschutz.edu).

References:
Barri, A., M. T. Wiechert, M. Jazayeri and D. A. DiGregorio.Synaptic 
basis of a sub-second representation of time in aneural circuit model. 
Nat Comm,13:7902 doi: 10.1038/s41467-022-35395-y (2022)

ZP Kilpatrick. Synaptic mechanisms of interference in working memory 
Sci. Rep. 8 (2018) 7879.

N Krishnan, DB Poll, and ZP Kilpatrick. Synaptic efficacy shapes 
resource limitations in working memory J Comput. Neurosci. 44 (2018) pp. 
273-295.

A Veliz-Cuba, HZ Shouval, K Josić, ZP Kilpatrick. Networks that learn 
the precise timing of event sequences. J Comput. Neurosci. 39 (2015) pp. 
235-254.
Chabrol, F.P., Arenz, A., Weichert, M.T., Margrie, T.W. and DiGregorio, 
D.A. Synaptic diversity enables temporal coding of coincident 
multisensory inputs in single neurons. Nat Neuro. 18(5):718-27. doi: 
10.1038/nn.3974 (2015).


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Zachary Kilpatrick
University of Colorado
Boulder CO

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