- Comp-neuro - lists.cnsorg.org

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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THEORETICAL/COMPUTATIONAL NEUROSCIENCE FACULTY POSITION AT CSHL
by Tony Zador 02 Jul '21

02 Jul '21

*Cold Spring Harbor Laboratory is seeking faculty candidates in the area of Computational/Theoretical Neuroscience. * Of particular interest to this search are candidates with expertise in *computational and theoretical neuroscience, machine learning, and artificial intelligence*. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. *Review of applications is currently underway and will continue until the position is filled. * Please see https://www.cshl.edu/about-us/careers/faculty-positions/ for details. If this position is *of interest to you or your colleagues, we would welcome your applications*. This link will bring you to the formal posting where *interested candidates* can create an account and apply: Faculty Positions In Neuroscience position ID 02703-R. *Specific questions regarding the opportunity can be sent *directly to CSHLfacultyjobs(a)cshl.edu .

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EITN Fall School in Computational Neuroscience : Applications extended to 25 July 2021
by Zélie Tournoud 02 Jul '21

02 Jul '21

Dear colleagues, We are happy to let you know that the application deadline for the *EITN Fall School in Computational Neuroscience* has been extended to the *25th of July 2021*. This *10-days intensive course in computational neuroscience* will take place in *P**aris, France from 15 to 24 September 2021*. This is a yearly event, although previous occurrences took place in the spring. We choose to keep it relatively small-scale in order to facilitate interactions between participants and teaching staff, there are about 20 seats available. There will, therefore, be a selection made after applications are closed. We encourage you to share the word widely with your collaborators and networks so that everyone who might be interested can get the chance to apply. Applications need to be addressed by email with a *resume (CV)* and a *cover letter* at *eitn(a)neuro-psi.fr*. Please make sure to use an explicit email title such as "Application to EITN Fall School". *Organizers: *Sacha Van Albada (Julich), Albert Gidon (U Berlin), Alain Destexhe (CNRS), Gorka Zamora-Lopez (UPF) and Spase Petkowski (AMU) *Faculty:* Nicolas Brunel (Duke University) Mallory Carlu (CNRS) Hermann Cuntz (Max Planck Frankfurt) Damien Depannemaecker (CNRS) Alain Destexhe (CNRS) Michael Dick (Julich) Renato Duarte (Julich) Gaute Einevoll (MBU) Kirsten Fisher (Julich) Albert Gidon (U Berlin) Jennifer Goldman (CNRS) Moritz Helias (Julich) Christian Keup (Julich) Anno Kurth (Julich) Mario Lavanga (AMU) Jean-Didier Lemarechal (AMU) Marja-Leena Linne (U Tempere) Jorge Mejias (UVA) Spase Petkowski (AMU) Marcel Stimberg (Institut de la Vision) Bartosz Telenczuk (CNRS) Fererico Tesler (CNRS) Nuria Tort-Colet (CNRS) Sacha Van Albada (Julich) Gorka Zamora-Lopez (UPF) *Why join?* * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris *Selection criteria:* 1. Work or study in neuroscience or related 2. Experience in python programming would help 3. Priority to PhD students, although Master students and post-docs are welcome to apply *Practical information:* * Subscription fee 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the 10 days of the course. You can also consult these information online <https://www.eitn.org/index.php/calendar-event/eventdetail/737/-/eitn-fall-s…> or by downloading the PDF flyer: https://www.eitn.org/images/events/EITN-FallSchool-2021_Flyer.pdf Thank you very much for applying or sharing with your relevant contacts. Kind regards, The EITN Team

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Scientific Software Engineer or Data Scientist, deadline July 11th 2021, Salary level E13 TVL
by Jochem Rieger 02 Jul '21

02 Jul '21

Dear colleagues, we have an open DFG-funded position for 3+2 years for the development of data infrastructure including storage, streaming and analysis tools for reproducible science based on the BIDS standard at our Neuroimaging Unit at University of Oldenburg, Germany. Link to the announcment: https://uol.de/stellen?stelle=68111 Application deadline is July 11th 2021 The position is ideal for networking in the open science community as it includes workshop organization and interaction with the open (neuro)science community. It is complemented by a full time technician position for support. The salary level is E13. The exact salary is dependent on experience and family status. But the rough numbers are on the web. The Neuroimaging Unit hosts a 3T Siemens Prisma MRI-scanner and a 306 channel Triux MEG system. The university hosts a prestigious DFG-funded Cluster of Excellence in Hearing Research and the Dept. of Psychology was recently evaluated as excellent with the highest third party funding rate among psychologies in Lower Saxony. The city of Oldenburg has a high standard of living, Hamburg, Bremen and the north sea are between 30 to 90 min distance. We are looking forward to your application! Best regards, Jochem The Neuroimaging Unit and the Applied Cognitive Neuropsychology Lab at the School of Medicine and Health Sciences of the University of Oldenburg is seeking to fill the position of a *Scientific Software Engineer or Data Scientist (m/f/d)* *(Salary level E13 TVL, 100%)* ** for the development of open and reproducible neuroscience tools and processing pipelines*.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible**until 30^th of September 2023 (with the possibility to extend another 2,5 years after successful evaluation and extension of the project)*. The position is suitable for part-time work. The Neuroimaging Unit hosts a state-of-the-art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively perform research on and contribute to the implementation of a standardized neuroscience data acquisition, reproducible analysis pipelines and data storage for open science building on the BIDS standard. He/she should further contribute to community efforts and dissemination. Candidates should have a strong motivation to contribute to the community of developers open science tools. The development can include scientific projects, as long as they fit into the research focus of the lab (machine learning in cognitive neuroscience, speech processeing, and human state monitoring) but tool and processing pipeline development comprises the main part of the position. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Dr. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger(a)uni-oldenburg.de <mailto:jochem.rieger@uni-oldenburg.de>). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*11*th of July 2021**. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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NERKA8 Summer Course “Ion Channels and Neuronal Excitability”
by luiza filipis 01 Jul '21

01 Jul '21

Dear all, It is our pleasure to invite you to the NERKA8 Summer Course *“Ion Channels and Neuronal Excitability” *to be held *this year and in person* *September 8-12, 2021 *in Kotor, Montenegro. The course is organized by the *Faculty of Biology University of Belgrade* within the *NENS* School PhD program on *Neurobiology*. This school is to cover topics of *Ion Channels and Neuronal Excitability – techniques, modeling, physiology & pathology*. Information on application, deadlines, stipends and programm can be found on the website http://clm.bio.bg.ac.rs/neurobiology-course-2021/ -- Luiza Filipis,PhD Equipe OPTIMA Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 01 Jul '21

01 Jul '21

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-18 July 2021. This is a self-paced online course for researchers and students who wish to program their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org/>). Participants learn the art of programming differential equations to simulate neuronal dynamics. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Friday 9th July, 2021. Late enrolments ($150) close Sunday 18th July, 2021. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021
by Anton Arkhipov 30 Jun '21

30 Jun '21

Dear all, Please join us for pre-CNS*2021 tutorials on June 30 and July 1: “From synapses to behavior – using open data, tools, and models from the Allen Institute in computational neuroscience”. https://www.cnsorg.org/cns-2021-tutorials#SA5 The Allen Institute recently released multiple free resources focusing on the structure and function of brain circuits, including data, associated analysis software, and models integrating the data to enable bio-realistic simulations. We will introduce several of these resources in a series of 1-hour sessions. The resources covered will include characterization of cell types and synapse types, 2-photon calcium imaging and Neuropixels electrophysiology in vivo, a visual behavior dataset, and bio-realistic models and modeling software. Wednesday, June 30, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - Synaptic Physiology (Luke Campagnola) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - PatchSeq (Nathan Gouwens) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Behavior (Alex Piet) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Please register for CNS*2021 and join us for the tutorials! https://www.cnsorg.org/cns-2021-quick Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Last chance to register: TEX2021 - Bringing together Predictive Processes and Statistical Learning
by Yamil Vidal 29 Jun '21

29 Jun '21

Last chance to register!! TEX2021 - Bringing together Predictive Processes and Statistical Learning A free online symposium organized by Yamil Vidal and Davide Crepaldi. We have few available spots left so do not wait until the last minute to register. Description: While the research communities studying Predictive Processes and Statistical Learning sprout from different traditions, they share a core interest in how our brains pick up on patterns in the environment. In this two-days symposium we will bring these communities closer by sharing talks by some of the leading researchers of these fields. When: 1st and 2nd of July (15:00 to 18:30, CET) Speakers: - Tristan Bekinschtein (Consciousness and Cognition Lab, Department of Psychology, University of Cambridge) - Lucia Melloni (Department of Neuroscience, Max Planck Institute for Empirical Aesthetics. Department of neurology, NYU Grossman School of Medicine) - Padraic Monaghan (Department of Psychology, Lancaster University) - Maria Chait (Ear Institute, University College London) - Floris de Lange (Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen) - Caspar Schwiedrzik (Neural Circuits and Cognition Lab, European Neuroscience Institute Goettingen. Perception and Plasticity Group, German Primate Center - Leibniz Institute for Primate Research) - Lori Holt (Department of Psychology, Carnegie Mellon University) - Nicola Molinaro (BCBL, Basque Center on Cognition, Brain and Language) Schedule and more info at the registration form: https://sissa-it.zoom.us/webinar/register/WN_nBOv5NWZQ36HSH7nyffazg We would be very happy to count you among the attendees. Please spread the word. Best regards, Yamil and Davide Dr. Yamil Vidal Cognitive Neuroscience Sector Scuola Internazionale Superiore di Studi Avanzati - SISSA via Bonomea, 265 34136 Trieste, ITALY

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Robustness, Adaptability and Critical Transitions in Living Systems satellite - Conference on Complex Systems 2021 Lyon, France
by Samir Suweis 29 Jun '21

29 Jun '21

We are glad to announce the 4th hybrid (on site + virtual) edition of ReACT satellite <https://liphlab.github.io/REACT2021/> during the CCS 2021 <https://ccs2021.univ-lyon1.fr/> in Lyon, France - 25-29/10/2021 Confirmed invited speakers: Anna Levina (University of Tubingen) and Sergi Valverde (CSIC-Universitat Pompeu Fabra) Organizing commettee: Samir Suweis (UNIPD), Giorgio Nicoletti (UNIPD), Sandro Azaele (UNIPD), Jacopo Grilli (ICTP) Abstract submission open through EasyChair <https://easychair.org/account/signin_timeout?l=JRR3vhQlzxctciXkPU1pGc#>. Deadline 31 July 2021 All info are available also on the satellite website: https://liphlab.github.io/REACT2021/ <https://liphlab.github.io/REACT2021/> ***** After the success of the Satellite at ECCS 2014, CCS 2016, and CCS 2018, the ReACT Satellite: Robustness, Adaptability and Critical Transitions in Living Systems is back for a fourth edition at CCS 2021 in Lyon, France. We are very pleased to announce that the Satellite will be host in an hybrid format, welcoming participants both online and in person! The Satellite will last half a day and will take place during the main conference (25th - 29th October, 2021). The exact date and times will be announced soon. Living systems are characterized by the recurrent emergence of patterns: power-laws distributions, long-range correlations and structured self-organization in living matter are the norm, rather than the exception. All these features are also typical of systems poised near a critical point. The great lesson from Physics is that criticality can emerge as a collective behaviour in a many-body system with simple interactions and its characteristics depend only on few details, like the dimensionality or the symmetries. One of the most striking feature of living systems is that they are structured as evolving systems were interactions can turn-on or off, as well as strengthening and weakening, reconfiguring the system connectivity. Thus, by rearranging both the structural and functional topology, living interacting systems may demonstrate unique evolvability, scalability and adaptability properties. Among these systems, the brain is probably one of the most impressively complex and has received a considerable amount of attention in recent years, aided by the vast amount of experimental data available. The idea that the collective behavior of neurons might emerge from a self-organized critical state has been widely studied, from its fundamental mechanisms to its functional advantages, and it poses a fascinating question that is far from being answered. It is of crucial importance to make further steps in the understanding of the main properties that simultaneously confer to these systems high level of adaptability, robustness and optimality. If we can “learn” from evolution and unravel the basic principles then we would be able to both better manage/supervise these systems and also design more optimal and sustainable new systems. ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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