Connectionists: Postdoctoral position in neural coding, UKE, Hamburg (Germany)

[Stefano Panzeri]

I am seeking candidates for a fully funded postdoctoral position in
computational neuroscience at the University Medical Center
Hamburg-Eppendorf (UKE).


The successful candidate will conduct research in my computational
laboratory (Department of Excellence for Neural Information Processing) at
UKE (
https://www.uke.de/english/departments-institutes/institutes/department-of-excellence-for-neural-information-processing/index.html),
in collaboration with my lab’s experimental collaborators, including
prominently Prof. Christopher Harvey at Harvard Medical School, Prof.
Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT.

We will investigate, by developing and using advanced data analysis methods
and biophysically plausible neural network models, how populations of
neurons (and of glia) in the brain encode information and use it to produce
appropriate behaviors. We are particularly interested in discovering how
correlations between neurons shape the encoding and transmission of
information across areas of the cerebral cortex, and in understanding the
theoretical principles of how to combine measures and perturbations of
neural activity to probe causally the contributions of interactions between
neurons to brain function.



Our laboratory offers a wide range of interdisciplinary expertise in
computational neuroscience, including both advanced neural analysis
techniques and neural network modeling.  The laboratory also offers a
thriving, ambitious and well-funded research environment (including several
grants from the NIH Brain Initiative, Simons Foundation, the European
Union). This gives successful candidates ample opportunities for advanced
training and personal scientific growth.



We seek candidates holding a PhD in a numerate or neuroscientific
discipline, with a solid computational background and a keen interest in
neuroscience. They must be highly motivated and creative individuals who
want to work in a dynamic, multi-disciplinary research environment and be
willing to interact with both experimental and theoretical neuroscientists.



The job is available starting immediately and applications will be
considered as soon as they are received and until the position is filled.
Funding is available for several years and a minimum commitment of two
years is expected by interested candidates.



Interested applicants are strongly encouraged to email me (s.panzeri at uke.de
or stefano.panzeri at gmail.com) as soon as possible, to inform me of the
interest for the position and initiate a discussion about research
projects. I suggest interested candidates to attach a CV when inquiring by
email.





For recent publications from my lab relevant to this project, see:



Panzeri S, et al (2022) The structures and functions of correlations in
neural population codes. *Nature Reviews Neuroscience* 23: 551-567

Koren V., Panzeri S (2022) Biologically plausible solutions for spiking
networks with efficient coding. *NeurIPS 2022,* in press,
arXiv:2210.07069

Curreli S, et al (2022) Complementary encoding of spatial information in
hippocampal astrocites. *PLoS Biology* 20(3): e3001530.

Valente, M. et al (2021), Correlations enhance the behavioral readout of
neural population activity in association cortex. *Nature Neuroscience*,
24, 975–986

Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the
coding logic of olfactory perception. *Science* 368, 1329.

Runyan C. A., et al (2017) Distinct timescales of population coding across
cortex, *Nature*: 548: 92-96.

Panzeri S., et al (2017) Cracking the neural code for sensory perception by
combining statistics, intervention and behaviour. *Neuron* 93: 491-507

Pica, G. et al (2017) Quantifying how much sensory information in a neural
code is relevant for behavior, *Neural Information Processing Systems
(NeurIPS 2017)*



Thanks



Stefano Panzeri
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