July 2021 - Comp-neuro - lists.cnsorg.org

Brain Connectivity, Dynamics, and Complexity--please submit abtracts--deadline extended
by Stephen José Hanson 09 Jul '21

09 Jul '21

We are still looking for a few more submissions especially related to Resting state and fMRI..theoretical papers as well. The deadline is extended for submission till Aug 1. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… send queries through the website. thanks. Steve Hanson -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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Postdoctoral positions: modeling, imaging, and optogenetics (Boston U School of Medicine)
by Christina M. Weaver 08 Jul '21

08 Jul '21

Postdoctoral positions in modeling, imaging, and optogenetics (Boston University School of Medicine) The Luebke & Medalla labs (Dept. of Anatomy & Neurobiology, Boston University School of Medicine) use state-of-the-art approaches in imaging, immunohistochemistry, electrophysiology, and computational modeling to explore neural mechanisms underlying executive function in the mammalian prefrontal cortex. We seek highly motivated, detail-oriented postdoctoral research fellows to join our interdisciplinary team related to several exciting, federally funded projects. Read more about our research here <https://www.bumc.bu.edu/anatneuro/research/cellular-neurobiology/>. Modeling: This project, led jointly by Dr. Jennifer Luebke, Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY), aims to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkeys. We seek candidates with experience building differential equations-based mathematical models using MATLAB, Python, and/or NEURON compartmental modeling software. Experience with conductance-based modeling of single neurons or excitatory-inhibitory networks preferred. The successful candidate will build computational models to explore mechanisms of network dysfunction, constrained by our data from aging studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare. Imaging: This project, led by Dr. Luebke and Dr Klaus Wimmer (Centre de Recerca Matemàtica, Barcelona, Spain) and funded by the Collaborative Research in Computational Neuroscience (CRCNS) program, focuses on the computational and neural mechanisms underlying working memory and age-related changes to working memory and other executive function in the rhesus monkey. We seek candidates with an excellent track record using magnetic resonance imaging and image processing techniques to explore scientific questions with high health relevance. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting state fMRI, and diffusion spectrum imaging (DSI) brain scans to assess brain morphometry and connectivity. Data generated from brain scans will be correlated with behavioral, physiological and other anatomical data collected across the adult life span to inform sophisticated computational models. The project includes unique cross-national training opportunities for researchers in Boston and Barcelona alike. Optogenetics: One project, newly funded by NIH, uses multi-scale neuroanatomical, in vitro, and in vivo electrophysiological, pharmacologic and optogenetic techniques to study inhibitory circuits in the anterior cingulate cortex and lateral prefrontal cortex (ACC and LPFC) of rhesus monkeys, and how limbic input from the amygdala influences communication within the ACC-LPFC network. We seek candidates with expertise in optogenetics, imaging of voltage-sensitive dyes, patch-clamp recording and multiphoton microscopy. The successful candidate will combine anatomical and viral tracing with in vivo electrophysiological recordings in anesthetized preparations, as well as optogenetic stimulation and whole cell patch-clamp recording in in vitro slices, to investigate the cellular and synaptic properties of prefrontal circuits involved in cognitive and emotional control and integration. Each appointment as a Boston University School of Medicine research fellow will be for at least 1 year with the possibility for extension based on performance. Competitive salary based on experience. Interested applicants should attach the following: - A cover letter, - A current CV, - A brief statement of current and future research interests, - The contact information of three references. Please be aware that references may be contacted anytime after receipt of your application. Contact: Dr. Christina Weaver, christina.weaver(a)fandm.edu or Dr. Jennifer Luebke, jluebke(a)bu.edu Christina M. Weaver, Ph.D. Associate Chair of Mathematics Associate Professor Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Email: christina.weaver(a)fandm.edu

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Announcing free online spiking neural network workshop Nov 8-9, reg & submissions open
by Goodman, Daniel F M 07 Jul '21

07 Jul '21

We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 8-9. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 8-9 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

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Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task
by Mingbo Cai 07 Jul '21

07 Jul '21

*Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task* We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 2.5-year postdoctoral position is available at Dr. Mingbo Cai’s lab <https://cailab-ircn.org/> at the International Research Center for Neurointelligence <https://ircn.jp/en/>, The University of Tokyo. You will work on an exciting international collaboration project directed by both Dr. Cai <https://ircn.jp/en/mission/people/mingbo-cai> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up until Jan 2024 (future renewal depends on performance and budget), with a probation period of 6 months. Starting date: negotiable Requirements (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: Preferred skills: (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. Application procedure: Please send an email with the title “[Postdoc Application] + your name” to mingbo[doc]cai[at]ircn[dot]jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster or other presentation. Informal inquiry can also be sent to Dr. Cai. Application deadline: The application deadline is July 31. The position will remain open until filled. Review of applications starts as soon as they are received. Mingbo Cai Assistant Professor International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/

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PhD and Postdoc opportunities in Germany
by Tatjana Tchumatchenko 06 Jul '21

06 Jul '21

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and projects typically involve modelling and data analysis. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD and Postdoc positions are currently open: 1) A PhD position in a project exploring the intersection of protein dynamics and machine learning. This involves analyzing the collective motion of multiple receptors in a cell. 2) A PhD position in project designing models describing protein dynamics in dendrites and analyzing imaging data 3) A postdoc or PhD position in a project addressing the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

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Call for applications at the paris Brain Institute
by Jean Daunizeau 05 Jul '21

05 Jul '21

Dear colleagues, This is to let you know that the Paris Brain Institute is seeking to recruit a team leader at the starting, junior or mid-career level, working in computational and/or theoretical neuroscience. Please visit this page for more info: https://institutducerveau-icm.org/en/actualite/call-for-applications/ Best regards, Jean Daunizeau. -- Jean Daunizeau Motivation, Brain and Behaviour group (ICM) web: http://sites.google.com/site/jeandaunizeauswebsite/

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PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning
by Jian Liu 05 Jul '21

05 Jul '21

*PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information in one single PDF, to j.liu9(a)leeds.ac.uk: - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computing conducts ranging from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation. We are parents with the Alan Turing Institute, the UK’s premier research centre for data science and artificial intelligence. The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine holds the Gold award. We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. We will make the working patten inclusive and flexible. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

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Job Posting: Scientific Software Developer
by Dr. David Goyer 05 Jul '21

05 Jul '21

Dear All, The Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6) at Research Center Jülich is looking for a Scientific Software Developer for Neural Data Analysis Tools. Full details of the job offer can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-192-E… Application deadline is 25.07.2021. If you have questions regarding this job posting feel free to contact me. Kind regards, David Goyer Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich Germany phone: +49-1756402993

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PhD student in data science of Parkinson's electrophys data (MEG, DBS, etc) in Dusseldorf
by Dmitrii Todorov 05 Jul '21

05 Jul '21

Project Title: Improving deep brain stimulation through artificial intelligence We are looking for a PhD student to join our research project Improving deep brain stimulation through artificial intelligence. In this project, you will collect data from patients using simultaneous MEG and intracranial recordings. In addition, we will obtain kinematic data and anatomical images of the brain using MRI. Besides neuroscientific measurements, data science plays an important role. The project involves the creation of a scientific database and sophisticated data analysis, using dedicated software tools for MEG/MRI and the implementation and application of machine learning algorithms. The doctoral researcher will conduct neuroscientific experiments, analyze and present the data, and prepare publications under supervision, resulting in a PhD thesis. Requirements Master of Science in the natural sciences, computer science or psychology Intrinsic motivation and a passion for brain research First experience in programming and scientific data analysis (mandatory) First experience in at least two of the following: M/EEG, machine learning/AI, local field potential recordings, motion tracking, MRI, scientific databases The project is supported by a five-year grant of the Brunhilde Moll Foundation to Prof. Alfons Schnitzler and Dr. Jan Hirschmann. We offer fixed-term contracts for three years initially, with the possibility of prolongation. Payment accords to the regulations for the German public sector (Tarifvertrag für den öffentlichen Dienst der Länder). The applications should include a statement of research interests and reasons for applying to the project, a curriculum vitae including a list publications, a certificate of the Master’s degree, a copy of the master’s thesis and grades of Master’s level studies, and the names and e-mail addresses of two referees. Please address questions and send applications (pdf only!) to Jan.Hirschmann(a)med.uni-duesseldorf.de See full details here https://www.uniklinik-duesseldorf.de/en/institute-of-clinical-neuroscience-… -- Best regards, Dmitrii Todorov Postdoc Institute for Clinical Neuroscience and Medical Psychology Dusseldorf University Clinic

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Deadline extension Call for Papers Special Issue IEEE TCDS
by Bruno Lara 03 Jul '21

03 Jul '21

Dear all; The call for papers for our special issue has been extended: New dates: Paper submission deadline - 1 September 2021 Notification to authors - 1 November 2021 Deadline revised papers submission - 15 January 2022 Final version - 15 February 2022 The call can be found in: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9448373 We would like to announce a special issue for the journal IEEE Transactions on Cognitive and Developmental Systems. The general topic revolves around perceptual optimization processes related to attentional and predictive mechanisms. We are interested in work coming from a wide range of areas including robotics, psychology, philosophy and neuroscience. Themes include: · Attentional and gating mechanisms for action and sensory information processing · Context- and task-dependent perceptual optimization · Sensory attenuation/cancellation and sensory enhancement/facilitation · Interplay of predictive and attentional mechanisms for prediction error minimization · Multimodal integration and/or cross-modal interactions · State representation learning · Constrained innate priors that drive learning · Prediction in language learning and comprehension · Prediction error dynamics monitoring · Dreaming, non-conscious perception, hallucination, altered perceptual phenomena -- -- +++++++++++++++++++++++++++++++++++++++++++++ Dr. Bruno Lara Guzman Profesor Investigador Centro de Investigación en Ciencias Universidad Autónoma del Estado de Morelos Av. Universidad 1001. Col. Chamilpa Cuernavaca, Morelos. C. P. 62209-- M É X I C O +++++++++++++++++++++++++++++++++++++++++++++ http://roboticacognitiva.mx Tel (52) (777) 3-29-70 40 x 3280 +++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++

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