A postdoc position is available in the Kahnt Lab at Northwestern
University. The work will involve neuroimaging (fMRI), neurostimulation
(TMS), and computational modeling to study learning and decision making in
humans.
Research in the Kahnt Lab (www.Kahntlab.org) focuses on the neural systems
supporting learning, decision making, and olfaction in humans. Experimental
techniques include behavioral testing, fMRI, diffusion MRI, olfactory
psychophysics, and TMS. We utilize advanced data analysis techniques and
computational modeling.
The ideal candidate will have relevant research experience and will bring a
unique perspective and background to the lab.
Start date is flexible, but a start in 2020 is preferred.
Please send your application package (cover letter, CV, and 1-3 selected
publications) as a single PDF to thorsten.kahnt(a)northwestern.edu. Review of
applications will begin immediately and will continue until the position is
filled.
For more information see:
www.kahntlab.org/s/postdoc_job_posting_2020-5e32.pdf
Thorsten Kahnt, PhD
Assistant Professor
Department of Neurology
Northwestern University Feinberg School of Medicine
320 E Superior St, Searle 11-463
Chicago, IL 60611
thorsten.kahnt(a)northwestern.edu
kahntlab.orgtwitter.com/kahntlab
Neural Computation - Volume 32, Number 2 - February 1, 2020
Available online for download now:
http://www.mitpressjournals.org/toc/neco/32/2http://cognet.mit.edu/content/neural-computation
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Article
Face Representations via Tensorfaces of Various Complexities
Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka
Letters
Transition Scale-spaces: A Computational Theory for the Discretized
Entorhinal Cortex
Nicolai Waniek
From Synaptic Interactions to Collective Dynamics in Random Neuronal
Networks Models:
Critical Role of Eigenvectors and Transient Behavior
Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and
Wojciech Mateusz Tarnowskic
Synaptic Scaling Improves the Stability of Neural Mass Models Capable of
Simulating Brain Plasticity
Jure Demsar, Rob Forsyth
Scaled Coupled Norms and Coupled Higher Order Tensor Completion
Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka
Improving Generalization via Attribute Selection on Out-of-the-box Data
Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu
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ON-LINE -- http://www.mitpressjournals.org/neuralcomp
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu
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I'm happy to announce the Architectures of Biological Learning Lab is Hiring!
I'm looking for exceptional candidates at the MSc, PhD or post-doc level to work on "Dendritic Algorithms for Perceptual Learning". The project will employ simulations of pyramidal neurons and plasticity, and deep convolutional networks to study representation learning in the neocortex. Prior experience with Python, NEURON, and/or PyTorch would be an asset.
This project will be undertaken in collaboration with Profs. Yoshua Bengio (UdeM, Mila), Roberto Araya (UdeM, CRCHUSJ), and Blake Richards (McGill, Mila).
Montreal, Canada is a thriving international hub for Artificial Intelligence and Neuroscience research, with a booming AI industry. It's where Donald O. Hebb originally formulated Hebbian Learning. It's also a vibrant, funky, cosmopolitan yet affordable city of over 4 million, referred to as "Canada's Cultural Capital" by Monocle magazine. In 2017, Montreal was ranked the 12th-most liveable city in the world by the Economist Intelligence Unit in its annual Global Liveability Ranking, and the best city in the world to be a university student in the QS World University Rankings.
For more details and instructions how to apply, please visit: https://bit.ly/3l1PGFH
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Eilif B. Muller, Ph.D.<https://research.chusj.org/en/Axes-de-recherche/Bio?id=a7716033-22af-49a0-8…>
IVADO Assistant Research Professor
Department of Neurosciences, Faculty of Medicine, University of Montreal
Associate Faculty Member - Quebec Artificial Intelligence Institute (Mila)
Centre de recherche du CHU Sainte-Justine
3175 Côte Sainte-Catherine, Montréal QC H3T 1C5, Canada
