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Fwd: Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul
by Mujdat Cetin 16 Jun '16

16 Jun '16

*Faculty Position in Neural Data and Imaging Sciences at Sabancı University* http://ee.sabanciuniv.edu/en/full-time-faculty-position-neural-data-and-ima… The Faculty of Engineering and Natural Sciences (FENS) at Sabancı University, İstanbul, Turkey invites applications for a full-time faculty position in the area of Neural Data and Imaging Sciences with a targeted start date of Fall 2016. The ideal candidate for this position would have a Ph.D. degree in electrical engineering, computer science, biomedical engineering, computational neuroscience, or a related field, as well as a strong research and publication record in the area of information extraction from challenging neural data. Particular research areas of interest include but are not limited to neuroinformatics, big neural sensor data analytics, biomedical imaging, brain informatics, signal processing of neural activity, computational neuroimaging, neural image analysis, machine learning for understanding the brain, and connectomics. Sensing/imaging modalities of interest include but are not necessarily limited to MRI, fMRI, DTI, PET, EEG, MEG, ECoG, and several forms of microscopy. Application areas of interest include, but are not limited to healthcare, neurotechnology, brain-computer interfaces, neurorehabilitation, and neurorobotics. The faculty member will have a primary affiliation with the Electronics Engineering program but will be expected to conduct collaborative research with other programs in FENS as well. Applications from candidates at all ranks are encouraged. For candidates at the Assistant Professor level, post-doctoral research experience is a plus. Successful candidates are expected to develop externally-funded internationally-recognized research programs; teach undergraduate and graduate courses; advise and mentor graduate and undergraduate students; and undertake service responsibilities. Successful candidates will have the opportunity to benefit from the state-of-the-art infrastructure of the brand-new Nanotechnology Research and Application Center (SUNUM), as well as to be involved in the Professional Master’s Program in Data Analytics. Sabancı University, a privately funded premier academic institution, established in 1996 in its state-of-the-art campus located in suburban İstanbul. The university offers 13 undergraduate programs and 38 graduate programs in three faculties (Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, School of Management). The University aims to establish a high standard of academic excellence and a research-oriented atmosphere for its international faculty and students, while nurturing productive relationships particularly with the industries in the region which constitute the industrial heartland of Turkey. The medium of instruction is English. In 2015, Sabancı University ranked 13th globally in the Times Higher Education (THE) ranking of the top 100 universities under 50 years old, and 21st in the THE Asia university rankings. In the recently announced THE ranking of the world’s best small universities in 2016, Sabancı University ranked 10th globally. It ranked first among all universities in Turkey in the University Entrepreneurship and Innovation Index of the Ministry of Science, Industry, and Technology in 2015. Detailed information about the Electronics Engineering Program at Sabancı University can be found at http://ee.sabanciuniv.edu/ Applicants should submit their applications online through https://crm.sabanciuniv.edu/acadcv/application.php and provide a cover letter, curriculum vitae, statement of research interests, statement of teaching interests, and at least three professional references. Review of applications will begin on July 1, 2016 and will continue until the position is filled. -- Mujdat Cetin Technical Program Co-chair, IVMSP 2016 -- http://ivmsp2016.org Technical Co-chair, FUSION 2016 -- http://fusion2016.org Faculty Member Faculty of Engineering and Natural Sciences Sabanci University Orhanli, Tuzla 34956, Istanbul, Turkey Phone : +90 (216) 483-9594 Fax : +90 (216) 483-9550 E-mail : mcetin(a)sabanciuniv.edu Web : http://spis.sabanciuniv.edu

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Scientist II opening in Computational Neuroscience at the Allen Institute for Brain Science (Seattle, USA)
by Costas Anastassiou 16 Jun '16

16 Jun '16

Scientist II opening in Computational Neuroscience Lab headed by Dr. Costas Anastassiou Allen Institute of Brain Science Do you want to make a difference in our understanding of brain disorders? Do you have a solid background in computational neuroscience/scientific computing/simulation-based research and curious about how the brain works? Are you able to meet aggressive timelines and deliverables in a collaborative environment? The laboratory headed by Dr. Costas Anastassiou at the Allen Institute is currently looking for a talented Scientist II to work on large-scale, biophysically detailed brain circuit simulations to explore the pathophysiology of epilepsy. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. Position summary: We are seeking to fill a position at the level of Scientist II (SciII) to work on an exciting new translational neuroscience pilot project at the Institute. The goal of this project is to investigate cellular and circuit mechanisms of epileptogenesis in human hippocampus. To address these questions, we seek to develop a faithful computational model of the human epileptogenetic hippocampus consisting of a multitude of reconstructed, interconnected and biophysically faithful neurons emulating anatomical and dynamical characteristics of the pathological brain tissue. For examples of biophysically realistic network models as pursued in this work see [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015]. The aim of the computational model is to (i) understand how synaptic, cellular and connectivity properties of pathological brain tissue give rise to pathophysiological network dynamics, (ii) understand how pathophysiological dynamics are reflected on signals such as depth-, ECoG- and EEG-recordings, and (iii) identify intervention targets to abort or suppress pathological activity. Importantly, the computational effort will occur in parallel with novel in vitro experiments in brain slices derived from patients undergoing surgery for treatment refractory mesial temporal lobe epilepsy that will provide the data on which the computational modeling will be based. The project will be pursued in collaboration with in-house experimental colleagues as well as neurologists and neurosurgeons and has a guaranteed duration initially of 18 months beginning in the summer of 2016. Responsibilities: · Construct detailed biophysical models using cable theory and NEURON-software. · Design, implement and analyze large-scale network simulations. · Publish/present findings in peer-reviewed journals/scientific conferences. · Prepare written and oral reports on a regular basis. · Publish scientific findings in peer-reviewed journals and relevant conferences. · Maintain clear and accurate communication with supervisor and team members. Qualifications: · PhD degree in computational neuroscience, physics, biology, bioengineering or related fields. · Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as python. · Ability to meet aggressive timelines and deliverables in a collaborative environment. · Strong publication record. · Experience in pursuing research projects in collaborative fashion. · Proven independent thinking and flexibility. · Familiarity with in vitro and in vivoelectrophysiological monitoring techniques and data analyses. · Strong written and verbal communication skills. How to apply: Visit the Allen Institute for Brain Science Careers website and fill out your information for the Scientist II-position under “2200-Modeling, Analysis and Theory”.

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Programmer wanted for Neuroscience and Neuroprosthetics Lab
by Sliman Bensmaia 16 Jun '16

16 Jun '16

Lab at the cutting edge of neuroscience and neurotechnology looking for a programmer to keep us at the cutting edge! The lab has two general pursuits: discover the neural basis of touch and proprioception – how do patterns of activation in the nerve and in the brain mediate our ability to feel objects by touch and sense the position and movements of our limbs in space? – and to develop a somatosensory neuroprosthesis – How can we recreate the sense of touch by stimulating the nerve or the brain. See http://bensmaialab.org for additional information regarding the lab and the exciting work we are doing. Ideally, looking for a motivated, intelligent individual who works well with people, someone who might be able to make a long term commitment to the lab and help us build something special. Job Summary Responsible for interfacing the various machines in the lab (robots, sensors, data acquisition systems, etc.) with computers and with each other to run neurophysiological and behavioral experiments with human and non-human primates. Education Bachelor's degree in computer science or a related field of engineering required. Experience One year of relevant programming experience required. Experience developing, implementing, debugging and maintaining applications required. Two years of professional programming experience preferred. Experience developing applications using C++, Matlab, Python, Java, MySQL, Visual Basic, and/or any other object oriented programming language preferred. Experience building and debugging electronic systems preferred but not required. Knowledge of electromechanical systems preferred but not required. Interest in and/or knowledge of neurophysiology preferred but not required. -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203 -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203

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Postdoctoral positions available in Dr. Suzanne Haber's lab
by Sarah Heilbronner 16 Jun '16

16 Jun '16

2 Postdoctoral positions are available in Dr. Suzanne Haber’s lab at the University of Rochester. The studies use nonhuman primate anatomical connectivity studies in combination with MRI in nonhuman and human primates to investigate: 1. Reward pathways and their interface with cognitive and motor control circuits; and 2. Circuitry underlying obsessive-compulsive disorder (OCD). The first project is designed to delineate connectional hubs within cortex and basal ganglia structures that receive convergent inputs from reward and cognitive control regions. Specific focus is on dorsolateral, ventrolateral, ventromedial, orbital, and anterior cingulate cortices and the striatum and amygdala. The approach is to use traditional anatomical tract-tracing circuitry techniques in combination with state of the art imaging methods such as diffusion and functional MRI to explore the location of these hubs in both animal and human brains and their relationship to disease. The second project is designed to characterize the organizational principles that govern white matter organization and trajectories connecting frontal areas with particular emphasis on the connectional hubs. These data will form the basis for segmenting white matter with respect to function in order to identify and evaluate diffusion MRI changes associated with OCD and its treatments. These studies are part of a Silvio O. Conte Center grant involving several Institutions and multiple techniques investigating the neurocircuitry of OCD and effects of neurostimulation. The ideal applicants would have background in systems neuroscience and/or neuroimaging. These positions will give opportunities to interact with pioneering scientists through the Conte Center grant and will provide unique training at the forefront of anatomy, neuroimaging, and translational neuroscience. Applicants should submit a summary of research interests, a curriculum vitae and names of three references to: Dr. Suzanne Haber, Department of Pharmacology and Physiology: Email: Suzanne_Haber(a)URMC.Rochester.edu. (AA/EOE).

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Extended Deadline for Goettingen's Advanced Computational Neuroscience Summer School
by Agostina Palmigiano 16 Jun '16

16 Jun '16

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Extended deadline for applications for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 06th - 16th, 2016 DEADLINE *June 24, 2016* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced mathematical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day theoretical blocks + 4 evening lectures in charge of the following researchers: * Vijay Balasubramanian <http://www.sas.upenn.edu/%7Evbalasub/public-html/Home.html>, University of Pennsylvania, Philadelphia, USA * Jason Kerr <http://www.caesar.de/bbo.html>, Center of Advanced European Studies and Research, Bonn, Germany * Gilles Laurent <http://brain.mpg.de/research/laurent-department.html>, MPI for Brain research, Frankfurt, Germany * Tobias Moser <http://www.innerearlab.uni-goettingen.de/>, University Medical Center, Göttingen Germany * Erwin Neher <http://www.nobelprize.org/nobel_prizes/medicine/laureates/1991/neher-bio.ht…>, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany * Magnus Richardson <https://www2.warwick.ac.uk/fac/sci/systemsbiology/staff/richardson/>, University of Warwick, Conventry, England * Wolf Singer <http://www.esi-frankfurt.de/research/singer-lab/>, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany * Misha Tsodyks <http://www.weizmann.ac.il/neurobiology/labs/tsodyks/>, Weizmann Institute of Science, Rehovot, Israel The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 euros. Course language is English. Housing is provided by the school. Travel grants can be provided upon request. Only 15 participants will accepted. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *June 24, 2016*. Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Manuel Schottdorf, Jens Wilting Best wishes and looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

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Postdoctoral Position in Computational Neuroscience at Georgia State University
by Yaroslav Molkov 16 Jun '16

16 Jun '16

A postdoctoral/research associate position in computational neuroscience for the initial duration of one year is immediately available in the externally funded project focusing on multi-scale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA) and Yaroslav Molkov (Dept. of Mathematics, Georgia State University, Atlanta, GA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a strong research record, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Georgia State University is an urban public research university. Georgia State students and employees can take advantage of the university’s easy access to Atlanta’s rich creative environment, diversity of cultures and lifestyles, and wide variety of indoor and outdoor activities. The world’s busiest airport is just minutes from campus. Atlanta provides Georgia State’s faculty and students with an urban laboratory, enabling them to draw creative inspiration. Interested candidates are encouraged to contact Dr. Molkov (ymolkov(a)gsu.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Molkov will be available to answer questions about this position during Organization for Computational Neuroscience Annual meeting, July 2-7, 2016, Jeju, Korea. ================================= Yaroslav Molkov, Ph.D. Associate Professor Georgia State University Department of Mathematics and Statistics 30 Pryor St SW, 750-COE, Atlanta, GA 30303 Office: 722-COE Phone/fax: (404) 413-6422 Email: ymolkov(a)gsu.edu

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Final Call for Papers: Extracellular Space
by Reinoud Maex 16 Jun '16

16 Jun '16

JOURNAL OF INTEGRATIVE NEUROSCIENCE http://www.worldscinet.com/jin Call for Papers! Special Issue on Extracellular Space In experimental neuroscience, most electric signals are picked up from the electrolytic (or colloidal) solution that constitutes extracellular (interneuronal) space, yet the origin of these potentials is incompletely understood. Even more, theoreticians have recently argued about the physical principles underlying these phenomena. The present special issue invites experimental and theoretical work that can shed light on electric phenomena in extracellular space, with an emphasis on extracellular potentials and endogenous electric field interactions. The contributions solicited are original research papers and comprehensive reviews on methodological aspects. Submission deadline: 30 September 2016 Contact: Dr. Reinoud Maex reinoud.maex(a)ens.fr Questions that may be addressed are (but are not limited to): 1. The nature of extracellular potentials - What is nature of the electric currents, and what is the velocity (distribution) of the ions involved? Since membrane currents underlie the extracellular currents, what are the relative contributions of synaptic versus voltage-gated channels, excitatory versus inhibitory synapses, capacitive currents? How important are Lorenz forces between currents (due to the generated magnetic fields) and is there a contribution of polarization currents? - Is extracellular space purely resistive, or is a capacitive component involved, and what factors (such as ionic concentration, Debye shielding, etc.) contribute to its resistivity? 2. Modeling of extracellular potentials and electric field interactions - What level of detail is needed to model extracellular electrical phenomena, and which formalism can be employed? How valid is the cable equation, or need slow concentration changes of the major ionic components involved be modeled explicitly? How can LFP calculations be incorporated in simulation software? - Can volume transmission be simulated adequately as volume conductors? Are ephaptic coupling effects adequately simulated in one dimension? 3. Neuronal inference from measured extracellular potentials - What is the importance of the electrode characteristics for the proper interpretation of the measured signals? - What are the underlying assumptions, and limitations, of current-source-density analysis? How valid is the dipole approximation? Why are recent experiments being interpreted in terms of monopoles, and can single-compartmental model neurons generate local field potentials at all? - What can be learned from the power density distribution of signal frequencies? 4. Neurostimulation - What is the effect on neurons of an externally applied current or potential, and what mechanism (or rationale) underlies deep brain stimulation? 5. Physiological roles of extracellular potentials and endogenous electrical fields - Do extracellular potentials contribute to neuron-neuron and neuron-glia communication? Can there be a role for extracellular potentials in the homeostasis, clearance, and volume regulation of extracellular space, and in the control of blood flow and of the blood-brain-barrier. - What is the integrative role of endogenous electrical fields in brain function?

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Papers on networks of neurons with nonlinear dendrites and Binary Synapses trained by structural plasticity
by Arindam Basu 16 Jun '16

16 Jun '16

Dear all Let me draw your attention to some work done by our group over the past few years in developing networks of neurons with lumped dendritic nonlinearity and binary synapses. The connections on each dendritic branch is sparse and the neurons learn to classify patterns when trained using different structural plasticity rules. Thus learning happens by modiying network connection matrix and not by weight change. These networks have advantage for hardware implementations--reduced memory and resistance to mismatch due to binary synapses. We have demonstrated supervised and unsupervised spike time based learning rules and have used these networks as readout of liquid state machines, to improve the reservoir in a liquid state machine, to classify spike latency patterns like tempotron or to classify MNIST images. I summarize the papers below and also include arxiv links for your reading pleasure. 1. S. Hussain, S. C. Liu and A. Basu, "Biologically plausible, Hardware-friendly Structural Learning for Spike-based pattern classification using a simple model of Active Dendrites," Neural Computation , vol. 27, no. 4, pp. 845-897, April 2015 link: http://arxiv.org/pdf/1411.5881.pdf ** Margin based learning, spike time based supervised learning, results on UCI dataset 2. S. Roy, A. Banerjee and A. Basu, "Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations," IEEE Trans. on Biomedical Circuits & Systems , vol. 8, no. 5, pp. 681-695, 2014. link:http://arxiv.org/pdf/1411.5458.pdf ** Readout of LSM, 30X less binary synapses compared to parallel perceptron 3. S. Roy, P. P. San, S. Hussain, Lee Wang Wei and A. Basu, "Learning Spike Time Codes through Morphological Learning with Binary Synapses," IEEE Trans. on Neural Networks & Learning Systems , vol. 27, no. 7, July 2016. link: http://arxiv.org/pdf/1506.05212.pdf ** Classifying spike time latency patterns, comparison with tempotron 4. S. Hussain and A. Basu, "Multi-class Classification by Adaptive Network of Dendritic Neurons with Binary Synapses using Structural Plasticity," Frontiers in Neuroscience , Mar, 2016. doi: 10.3389/fnins.2016.00113 link: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4814530/ ** Ensemble learning, adaptive allocation of dendrites, performance on MNIST, hardware savings analysis 5. S. Roy and A. Basu, "An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks," IEEE Trans. on Neural Networks and Learning Systems , accepted, 2016. link: http://arxiv.org/pdf/1512.01314.pdf ** unsupervised spike time based learning, sequence learning 6.S. Roy and A. Basu, "An online structural plasticity rule for generating better reservoirs," Neural Computation , accepted, 2016. link: http://arxiv.org/pdf/1604.05459.pdf ** Improving separation property of reservoirs in LSM Thanks Arindam Basu Assistant Professor School of EEE Nanyang Technological University http://www3.ntu.edu.sg/home/arindam.basu/ Regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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comp-neuro current status
by Wijnants Mike 16 Jun '16

16 Jun '16

Dear comp-neuro user, As you may have noticed the comp-neuro mailing list has been offline for a few weeks. Unfortunately we lost access to the previous domain name because of miscommunication with the domain provider. To serve the computational neuroscience community we have decided to restart the service with a temporary domain as comp-neuro(a)neuroinformatics.be We plan to migrate to another domain name in the future and will announce this when ready. Groetjes, Erik

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PhD position on Multistable perception : modelisation and analyse gaze and electroencephalographic correlates
by Alan Chauvin 20 May '16

20 May '16

Application are invited for a PhD studentship in Modelling multistable perception by stochastic resonance processes. Closing dates for applications : 15th June 2016. In summary, the main objectives of this PhD are to unify available models of stochastic resonance and to experimentally evaluate the contribution of gaze noise to decision making processes in multistable perception. To this aim, the successful candidate will contribute to theoretical, methodological, and experimental studies. Three research axes are identified: (1) developing stochastic resonance models and comparing these models to the recent Bayesian models described in [Moreno-Bote, Knill & Pouget, 2011]; (2) development of a tool set for the analysis of the neuronal correlates based on EEG feature extraction and machine learning for perceptual change prediction; (3) the design of experimental paradigms for multistable perception, with gaze and/or EEG recordings. This subject is on a confluence of multiple research axes, all essential for a successful PhD : • Stochastic resonance modelling: GIPSA-lab/CICS • Retinal modelling: GIPSA-lab/ViBS, LPNC • Study of micro-saccades: LPNC, GIPSA-lab/CICS • Gaze experiment design: GIPSA-lab/ViBS, LPNC • Joint Gaze and EEG experiment design : GIPSA-lab/ViBS • EEG signal analysis : GIPSA-lab/ViBS. Apllicants should have a strong background in stochastic signal processing and have strong interest in pstychophysics, oculometry and EERG recording. French is not mandatory. The Gipsa-lab is situated in the University Grenoble-Alpes (UGA : http://www.univ-grenoble-alpes.fr) The UGA is located in Grenoble, an international city and a wonderful place to live, work, and study. Nestled in the Alps, Grenoble enjoys an incomparable natural setting, with opportunities for sports lovers and nature enthusiasts alike. More information on : https://www.adum.fr/as/ed/page.pl?site=edeeats&page=CDlisteSujetFleche *PhD director : * Steeve Zozor (CR, CNRS, HDR EEATS, GIPSA-lab, research group CICS) *steeve.zozor(a)gipsa-lab.grenoble-inp.fr <steeve.zozor(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 71 04* *PhD supervisors : * Ronald Phlypo (MCF Grenoble-INP, GIPSA-lab, research group ViBS) *ronald.phlypo(a)gipsa-lab.grenoble-inp.fr <ronald.phlypo(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 64 86* Alan Chauvin (MCF UGA, lab LPNC, research group Perception et Sensori-Motricité) alan.chauvin@ <alan.chauvin(a)upmf-grenoble.fr>univ <alan.chauvin(a)upmf-grenoble.fr>-grenoble- <alan.chauvin(a)upmf-grenoble.fr> alpes <alan.chauvin(a)upmf-grenoble.fr>.fr <alan.chauvin(a)upmf-grenoble.fr>*, tel 33 (0)4 76 82 69 26* -- Laboratoire de Psychologie et NeuroCognition LPNC CNRS UMR 5105 Universite Pierre-Mendes France (UPMF) Batiment Science de l'Homme et Math (BSHM) 38041 Grenoble Cedex 09 Alan.Chauvin(a)upmf-grenoble.fr 33 (0) 476 825 926

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Researcher positions at ATR Brain Labs (Kyoto, Japan)
by Haruo HOSOYA 20 May '16

20 May '16

Dear all, I am pleased to announce that ATR Brain Labs in Kyoto, Japan has open positions for researchers or engineers in theoretical visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories ----------------------------------------------------------------------------------------------------- * Researcher and Engineer positions at ATR Brain Labs, Kyoto, Japan Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers and research engineers in computational visual neuroscience. We seek for applicants who are particularly interested in theoretical studies on hierarchical vision models based on statistical learning. The studies should be motivated toward understanding of computation and representation in visual cortex, where a stronger emphasis should be put on biological connections and theoretical insights rather than short-term applicability. Specific topics may include but are not limited to: - category-specific representations in higher visual areas - visual recognition and imagery - relationship between neural activities and visual consciousness (perception) * Requirements for Researchers Applicants must have a Ph.D. or be near completion. Successful candidates will have expertise in one of the mathematical areas listed below, as well as strong interest in neuroscience and good programming experience. – computational neuroscience, machine learning, computer vision * Requirements for Research Engineers Applicants must have good programming experience and strong motivations to take part in the research above mainly from program development. * Number of openings A few * Employment conditions Position : Full-time Researcher / Full-time Research Engineer Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan * Application materials Please submit the following five materials to the contact address below, either in printed or electronic form: 1 CV 2 List of publications 3 Reprints of 1-3 major publications (applicants for Researchers) or summary of past projects 4 Essay (up to two pages in A4 or letter size) describing: – Summary of your previous research and/or development – Interests for research – Additional research skills not directly foreseeable from 1 or 2 5 Recommendation letters from more than two researchers If submitted in printed form, original documents will not be returned. * Judging system After documentary examination, we ask for presentation and interview if needed. * Starting date Soon (negotiable) * Deadline for application Opens until positions are filled. * Contact Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories (Application for Researcher Position) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Web: http://www.cns.atr.jp/dbi/en/open-positons/ * Use of personal data All personal data received will be properly managed and only be used for the purpose of recruitment.

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Postdoctoral fellowship in primate neurophysiology, University of Arizona (Gothard Lab)
by Ueli Rutishauser 19 May '16

19 May '16

*Postdoctoral fellowship in primate neurophysiology.* *University of Arizona, College and Medicine, Department of Physiology, Tucson. * Applications are invited to join a Medical Research Fund for Neuroscience and NIH funded research program investigating the neural mechanisms of emotion and social interactions in non-human primates. The applicant will carry out neural recordings from the amygdala and medial prefrontal cortex of macaque monkeys using multielectrode arrays and will explore the patterns of neural activity within the brain and between brains of two monkeys engaged in social interactions. This will include, behavioral work with monkeys (training and preparation them for electrophysiological recordings), neurophysiological recordings, and data analysis. The applicant will have access to state-of-the art equipment, facilities, and will work in a team with established expertise in behavioral neurophysiology, with ample opportunity to learn new experimental approaches, techniques and methods. Candidates should have a recent PhD in systems or computational neuroscience with a track-record of first-author publications. Strong analytical and programming (Matlab or similar), skill and expertise in data analysis and statistics are essential. Individuals with strong analytical and technical skills who wish to expand into neurophysiological recordings are encouraged to apply, provided they are prepared to run quasi-independently neurophysiological experiments. Excellent written and oral English communication skills are required. The position is available from July 1st 2016, with a competitive salary commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Applicants must pass background screening and health checks to be able to work with monkeys. The University of Arizona is an equal opportunity employers and women and minorities are encouraged to apply. Interested applicants should send a CV, statement of research accomplishments and interests, copies of 2-3 representative publications and contact information for 2-3 reference letters to Katalin Gothard at kgothard(a)email.arizona.edu Informal inquiries are welcome. Further information about the lab can be found at www.gothardlab.com (Please note I am posting this on behalf of a collaborator, please do not contact me for this job).

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15 PhD positions for PACE, an EU funded Innovative Training Network for understanding Perception and Action in Complex Environments
by Laurent Perrinet 19 May '16

19 May '16

Dear colleagues, PACE (Perception and Action in Complex Environments) is an Innovative Training Network funded by the Marie Sklodowska-Curie program of the European Union starting on April 1st, 2015. The network involves 10 academic and private full partners, from 6 European and associated countries (France, Spain, Italy, Netherlands, UK, Israel), plus 5 associated partners (private companies and public organizations). The network gathers a broad range of expertise from experimental psychology, cognitive neurosciences, brain imaging, technology and clinical sciences as well as transferable skills. The PACE network promotes interdisciplinary research and training in the field of human movement sciences with a strong emphasis on perception-action coupling in complex environments. We focus on changes of this coupling across lifespan and in pathological diseases affecting the nervous system. The goal is to train PhD students through collaborative research projects, international courses and workshops. -> 15 PhD positions, starting next fall, are offered across the different network sites. You can find a short description of the proposed PhD projects at the following link: http://www.int.univ-amu.fr/IMG/pdf/PACE_Table_positions.pdf Applications are welcome immediately and until the end of May (but some specific timing constraints may be enforced in some of the partners' sites: please get more information from local contacts). You will find further general information (sections 1 to 3), eligibility and application conditions (section 4) here: http://www.int.univ-amu.fr/-ITN-Marie-Curie-network-PACE Thanks for distributing this announcement to potential candidates, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet

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［CFP］ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA)
by 刘伟锋 18 May '16

18 May '16

[Apologies for cross-postings] ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Call for papers ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA) December 12, 2016 http://staff.ustc.edu.cn/~xinmei/ICDM2016_Workshop/ICDM2016_Workshop.html ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Human activity analysis is an important area of computer vision and pattern recognition research with the rapid development of computing and sensing technologies such as the emergence of social network and wearable devices. It is becoming more and more critical to develop human-centered multimedia analytics including human behavior recognition, personal data mining, experiences of wearable-device applications, intelligent surveillance, semantic relationship analysis between heterogeneous multimedia. The development of the Internet of Things opens up great potential. Many data mining or machine learning techniques have recently been successfully developed and applied to human activity analysis. For example, smart devices (e.g. Microsoft’s SenseCam, Google Glass, smart phone, smart watches, portable EEG acquisition devices, etc.) facilitate the capture and collection of human activity multimedia; sparse representation is widely employed for human activity recognition; multi-view learning algorithms significantly boost the performance of human re-identify; manifold learning algorithms dramatically enhance the recognition rates in human behavior analysis where there is only a few labeled samples; and deep learning has produced promising results in many human-centered applications. Motivated by the inclination to collect a set of recent advances and results in these related topics, provide a platform for researchers to exchange their innovative ideas and attractive improvements on human activity analysis, and introduce interesting utilizations of data mining and machine learning algorithms for particular human-centered applications, this workshop will target emergent data mining methods for human activity analysis. To summarize, this workshop welcomes a broad range of submissions developing and using data mining techniques for human activity analysis. We are especially interested in 1) theoretical advances as well as algorithm developments in data mining for human activity analysis, 2) reports of practical applications and system innovations in human activity analysis, and 3) novel data sets as test bed for new developments, preferably with implemented standard benchmarks. The following list suggests topics of interest (but not limited to): • Multi-view Learning algorithms for Human Activity Analysis • Sparse and/or Manifold Learning for Human Activity Representation • Human Action Recognition in Images/Videos • Human Behavior Analysis • Human-centered Social Media Analytics • Smart Computing for Personal Data Mining • Deep Learning for Human-centered Media • Parallel Computing for Human-centered Media • Experiences of wearable-device applications • Human-centered Data Visualization • Analytics developed from Computational Psychoanalysis and related underpinnings. Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Important Dates August 12, 2016: Due date for full workshop papers September 13, 2016: Notification of workshop papers acceptance to authors September 20, 2016: Camera-ready deadline for accepted papers December 12, 2016: Workshop date Instruction for paper submission The page limit of workshop papers is 8 pages in the standard IEEE 2-column format ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html) including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at http://icdm2016.eurecat.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system ( https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S08&un… ). Registration and expenses Every workshop paper must have at least one paid registration in order to be published, no matter whether the author is a workshop organizer or an invited speaker. Workshop organizers: Dr. Xinmei Tian Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China, 230027. Email: xinmei(a)ustc.edu.cn Website: http://staff.ustc.edu.cn/~xinmei/ Phone: +86 551-63600281 Dr. Weifeng Liu, China University of Petroleum (East China), #66, Changjiang Road West, Huangdao District, Qingdao 266480, China, Email: liuwf(a)upc.edu.cn Prof. Fionn Murtagh Department of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK, and Department of Computing, Goldsmiths, University of London, London, SE14 6NW, UK.. Email: fmurtagh(a)acm.org Website: http://www.fmurtagh.info

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PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada
by Tatsuno, Masami 17 May '16

17 May '16

[Apologies for cross-postings] --- PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada --- One PhD/MSc student position is available immediately in the labs of Prof. Masami Tatsuno and Prof. Majid Mohajerani at the Canadian Centre for Behavioural Neuroscience (CCBN), University of Lethbridge, Canada (http://www.uleth.ca/artsci/neuroscience/about) We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous neural activity during sleep facilitates performance improvement. We use the state-of-the-art multi-electrode recordings from freely behaving rodents and imaging techniques such as two-photon Calcium imaging and wide-field voltage imaging. The successful candidate will investigate how external manipulation of sleep contributes to consolidation of memory. Several different methods including transcranial direct current stimulation, targeted memory reactivation and optogenetics will be employed. The successful candidate will also have an opportunity to participate in developing a novel analysis method for neural signals and modeling memory function. A high degree of interaction with the labs in the Brain Dynamics group ( http://lethbridgebraindynamics.com ) as well as in CCBN ( http://www.uleth.ca/artsci/neuroscience ) will be also expected. Motivated candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno (tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca>). Please do not have reference letters sent unless requested. Applicants should put "SysNeuro PhD/MSc recruitment" in the subject of their email. Various funding will be available depending on the candidate's qualification. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Associate Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca> http://lethbridgebraindynamics.com/masami_tatsuno Majid Mohajerani, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: mohajerani(a)uleth.ca<mailto:mohajerani@uleth.ca> http://lethbridgebraindynamics.com/majid-mohajerani/ *********************************************

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[jobs] Lecture in Computer Science, Aberystwyth UK
by Patricia Shaw 17 May '16

17 May '16

Lecturer in Computer Science, Aberystwyth University, Wales, UK £34,576 - £37,768 per annum Closing Date: 19 June 2016 Interview Date: 6 July 2016 Ref No: IMPACS.16.06 Further details and to apply: https://jobs.aber.ac.uk/en/vacancy/lecturer-in-computer-science-264661.html The Department of Computer Science wishes to appoint a lecturer to undertake teaching and research. The successful candidate will be expected to contribute to both postgraduate and undergraduate teaching, and to demonstrate a strong research record in an area that is of direct relevance to at least one of the four research groups within the Department: *Intelligent Robotics; Vision, Graphics and Visualisation; Advanced Reasoning; and Bioinformatics*, with a preference for *Bioinformatics or Space Robotics*. The interviewed candidates will be expected to present a lecture or lecture excerpt as part of the selection process. Prospective applicants may discuss the post informally with the Head of Department, Dr Bernie Tiddeman (e-mail: bpt(a)aber.ac.uk) or the Director of the Institute of Maths, Physics and Computer Science, Professor Qiang Shen (qqs(a)aber.ac.uk)

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Postdoctoral Research Scientist Position in Neuroimaging and Neurostimulation
by Paul Sajda 16 May '16

16 May '16

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) directed by Prof. Paul Sajda at Columbia University has an immediate opening for a Postdoctoral Research Scientist (Fellow) to participate in a project focused on building and characterizing an integrated closed-loop multimodal neuroimaging and neurostimulation system for use in humans. This is a joint project with the Medical University of South Carolina (Profs. Truman Brown and Mark George ) where we are building an EEG/fMRI/TMS instrument capable of real-time and on-line neurostimulation and imaging. Our long term goal is to use the instrument for both basic science and clinical applications. The successful applicant will be involved in both developing and testing the instrument as well as conducting novel scientific experiments and clinical studies. Applicants should have a background in several of the following area: Recording and analysis of simultaneous EEG and fMRI , real-time signal processing, recording and analysis of simultaneous EEG and TMS, instrumentation (digital and analog electronics), machine learning. A Ph.D. in Electrical Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/>) is within the Department of Biomedical Engineering at Columbia University. We are part of a dynamic and vibrant neuroengineering environment which includes the Center for Neuroengineering and Computation (cnec.columbia.edu <http://cnec.columbia.edu/>) the Zuckerman Mind Brain Behavior Institute (zuckermaninstitute.columbia.edu <http://zuckermaninstitute.columbia.edu/>) and the Data Sciences Institute (dsi.columbia.edu <http://dsi.columbia.edu/>). Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The position is available immediately and applicants will be considered on a rolling basis. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/> Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu <http://tnsre.bme.columbia.edu/> Chair, IEEE BRAIN Initiative http://brain.ieee.org <http://brain.ieee.org/>

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CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016
by Giuseppe Nicosia 16 May '16

16 May '16

CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016 [Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 2nd International Workshop on Machine learning, Optimization and big Data - MOD 2016 An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders, Volterra (Pisa) -Tuscany, August 26-29, 2016 http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> CALL FOR PAPERS Paper submission deadline: May 28, 2016 http://www.taosciences.it/mod/call-for-papers/ <http://www.taosciences.it/mod/call-for-papers/> https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> KEYNOTE SPEAKERS + Nello Cristianini, Bristol University, UK + George Michailidis, University of Florida, USA + Stephen H. Muggleton, Imperial College London, UK + Panos Pardalos, University of Florida, USA Other Keynote Speakers will be announced soon POST-PROCEEDINGS by Lecture Notes in Computer Science - Springer JOURNAL SPECIAL ISSUE Computational Optimization and Applications Journal - Springer INDUSTRIAL PANEL + Amr Awadallah, Founder and CTO at Cloudera, San Francisco, USA + Giovanni Giuffrida, CEO and co-founder at Neodata Group, Italy + Andy Petrella, Data Scientist and co-founder at Data Fellas, Liège, Belgium + Daniele Quercia, Head of Social Dynamics group at Bell Labs, Cambridge, UK + Fabrizio Silvestri, Principal Research Scientist at Yahoo London, UK TUTORIALS + Model Selection and Error Estimation Without the Agonizing Pain”, Luca Oneto and Davide Anguita, DIBRIS – Polytechnic School – University of Genova, Italy + “Information Geometry: Applications in Machine Learning and Stochastic Optimization”, Luigi Malagò, Department of Electrical and Electronic Engineering, Shinshu University, Nagano, Japan SPECIAL SESSIONS + Deep Learning: Theory, Architectures, Algorithms and Applications + Data-driven Algorithmics – Data for informed decisions + Multi-Objective Optimization Algorithms The MOD 2016 workshop will consist of four days of workshop sessions and special sessions. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings. MOD 2016 Types of Submissions When submitting a paper to MOD 2016, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the workshop. MOD 2016 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2016 web site. Journal Special Issue on Computational Optimization and Applications Journal The top 8-10 accepted articles will have the opportunity to publish a revised and expanded version of their conference paper in the Computational Optimization and Applications Journal – Springer. MOD 2016 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> The deadline is May 28, 2016 Important Dates for the MOD 2016 Post-Proceedings + Paper Submission Deadline: May 28, 2016 + Decision Notification to Authors: June 10, 2016 + Camera Ready Submission Deadline: June 30, 2016 + Deadline for early Registration as Presenting Author: July 10, 2016 + MOD 2016 Workshop: August 26-29, 2016 MOD 2016 Program Committee The current MOD 2016 Program Committee includes 300+ confirmed Program Committee members: http://www.taosciences.it/mod/program-committee/ <http://www.taosciences.it/mod/program-committee/> Any questions regarding the submission process can be sent to workshop organizers: modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> We look forward to seeing you in Tuscany! Giovanni Giuffrida, Giuseppe Nicosia & Panos Pardalos - MOD 2016 Chairs. http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> MOD 2015 Edition: http://www.taosciences.it/mod-2015/MOD <http://www.taosciences.it/mod-2015/MOD> 2015 MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 3rd International Synthetic & Systems Biology Summer School - SSBSS 2016 * Biology meets Computer Science & Engineering * July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/ssbss/ ================================================================== 2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016 August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/mod/ ==================================================================

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[CALL FOR PAPERS] Special Session on Computational Intelligence Techniques and Applications at TENCON 2016
by Teng Teck Hou 15 May '16

15 May '16

[Apologies for cross-postings] ############################################### CALL FOR PAPERS TENCON 2016 Special Session - Computational Intelligence Techniques and Applications November 22 - 25, 2016, Marina Bay Sands, Singapore http://www.tencon2016.org ############################################### Computational intelligence (CI) techniques encompass good-old-fashion AI (GOFAI), soft computing and deep learning techniques. The ebb and flow of these CI techniques closely tracks the technology cycles. CI techniques such as evolutionary techniques, swarm intelligence, artificial neural network (ANN) and fuzzy logic were mere research topics for decades before suitable computing hardware is available for their use in a broad spectrum of industrial and consumer applications. Recent computing hardware and sensor technologies have also fast-tracked the research and development of many emerging CI techniques. Held annually in IEEE Region 10 since 1980, TENCON has been an important multi-disciplinary platform of IEEE Region 10 for sharing and discussing new and emerging ideas. The theme for TENCON 2016 is Future Technologies for Smart Nation. Therefore, this TENCON'16 Special Session on Computational Intelligence Techniques and Applications for Smart Nation invites all researchers to submit papers on their use of CI techniques for enabling Smart Nation. ##################Important Date################## - Open for Submission March 1st, 2016 - Submission Deadline May, 30th, 2016 - Notice of Acceptance August 1st, 2016 - Final Manuscript Submission September 10th, 2016 ################################################## ##################Topics and Areas of Interest################## This special session solicits papers addressing original works in topics and areas of interest including, but are not limited to: - Fundamental CI Methodologies o Deep learning techniques o Reinforcement learning techniques o Supervised learning techniques o Unsupervised learning techniques o Evolutionary computing techniques o Artificial Neural Networks o Swarm Intelligence o Graphical Models o Bayesian Statistics - CI in Real-World Applications o Time Series Prediction o Sensor Networks o Recommender Systems o Robotic Systems o Intelligent Transportation System o Big Data for Smart Nation o Pattern Recognition o Computer Vision and Image Understanding o Intelligent Control Systems ################################################################ ############Paper Submission and Publication############ - The best papers will be selected from the contributed papers for awards. - The presented papers will be submitted to IEEE Xplore which is indexed by major databases. - Full papers can have up to four pages in double-column IEEE Conference format. - At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. - Any enquiry on the submission of papers can be made to Teck-Hou Teng at thteng(a)smu.edu.sg ######################################################## ##################Organizing Committee################## - Teck-Hou Teng, Singapore Management University - Justin Dauwels, Nanyang Technological University - Erdal Kayacan, Nanyang Technological University ########################################################

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Call for Papers: 8th International Conference on Brain Inspired Cognitive Systems (BICS 2016), Beijing, 28-30 Nov 2016: http://bii.ia.ac.cn/bics-2016/index.html
by Dr Amir Hussain 15 May '16

15 May '16

CALL FOR PAPERS (Deadline: 10 June 2016) and SPECIAL SESSION/WORKSHOP PROPOSALS (Deadline June 1, 2016): (with apologies for any cross postings - please forward to any interested colleagues, thank you) The 8th International Conference on Brain-Inspired Cognitive Systems (BICS 2016), is being organized by the Chinese Academy of Sciences (Research Centre for Brain-Inspired Intelligence, Institute of Automation) in Beijing, November 28-30, 2016 - in partnership with the University of Stirling (Scotland, UK), and with technical co-sponsorship of the IEEE Computational Intelligence Society: http://bii.ia.ac.cn/bics-2016/index.html BICS 2016 is being held in Beijing, China, as a sequel of BICS 2004 - 2015. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2015 in Hefei, Anhui, China. BICS 2016 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art in brain-inspired cognitive systems research and applications in diverse fields. It will bring together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions/workshops focusing on popular and timely topics. All accepted BICS 2016 papers will be published in conference proceedings of the Springer LNAI Book series. Selected papers will be published in a special issue of the leading (ISI SCI indexed) Cognitive Computation Journal (published by Springer Nature: http://Springer.com/12559 - first five year ISI impact factor: 1.73) BICS'2016 TOPICS OF INTEREST: These include, but are not limited to the following: 1. Biologically Inspired Systems (BICS-BIS) - Brain inspired systems - Brain inspired vision - Brain inspired audition and sound processing - Brain inspired other sensory modalities - Brain inspired motion processing - Brain inspired robotics - Brain inspired adaptive and control systems - Brain inspired evolutionary systems - Brain inspired oscillatory systems - Brain inspired signal processing - Brain inspired learning - Neuromorphic systems 2. Cognitive Neuroscience (BICS-CNS) - Cognitive neuroscience - Cognitive neuroscience of vision - Cognitive neuroscience of non-vision sensory modalities - Cognitive neuroscience of volition - Systems neuroscience - Attentional mechanisms - Affective systems - Language - Cortical models - Sub-cortical models - Cerebellar models - Neural correlates 3. Models of Consciousness (BICS-MoC) - World awareness - Self-awareness - Global workspace theory - Imagination - Qualia models - Virtual machine approaches - Formal models fo consciousness - Control theoretical models - Developmental/Infant models - Will and volition - Emotion and affect - Philosophical implications - Neurophysiological grounding - Enactive approaches - Heterophenomenology - Analyitic/Synthetic phenomenology 4. Neural Computation (BICS-NC) - Neuro-computational systems - Hybrid neural systems - Neural learning - Neural control systems - Neural signal processing - Architectures of neural computation - Neural devices - Neural perception and pattern classifiers - Neuro-fuzzy systems - Evolutionary neural networks - Biological neural network models - Applications - Others BICS 2016 SPECIAL SESSIONS AND WORKSHOPS: CALL FOR PROPOSALS To enhance the technical program and open the door to more specific cutting-edge topics and areas related to Brain-inspired Cognitive Systems, BICS 2016 welcomes proposals for timely Special Sessions and Workshops (which will be included in the Conference programme, in addition to regular sessions). Special sessions/workshops can cover subjects or cross-subjects belonging to any relevant BICS topic(s) of interest, or novel topic(s) related to BICS topics of interest. Papers submitted for special sessions and workshops will be peer-reviewed with the same criteria as for regular sessions. All proposals for BICS2016 Special Sessions and Workshops should contain the following information: -Title of the special session or workshop -Names, affiliations, email addresses and short bios of proposers -Description of the proposed session or workshop (including aims and scope) -List of 6-10 potential contributors Researchers interested in organizing Special Sessions/Workshops are invited to submit a formal proposal, which will be evaluated based on the timeliness of the topic, its uniqueness, and qualifications of the proposers. A tentative accept/reject decision on the proposal will be sent to proposers within one week after its receipt by the BICS 2016 Special Sessions and Workshops Chair. Accepted Special Sessions/Workshops will be listed on the website. Formal proposals (including any queries) should be submitted to the BICS 2016 Special Sessions & Workshops Chair: Dr. Jingpeng Li ( jli(a)cs.stir.ac.uk ). Special Sessions/Workshops proposals deadline: 1 June 2016 PAPER SUBMISSION: Papers should be limited to 8-10 pages in Springer LNCS format. Details can be found in http://bii.ia.ac.cn/bics-2016/submission.htm To submit, please login at https://easychair.org/conferences/?conf=bics2016 IMPORTANT DATES: Paper submission deadline: June 10, 2016 Acceptance notification: August 10, 2016 Camera-ready papers due: September 10, 2016 Conference dates: November 28-30, 2016 Special Session/Workshop proposals deadline: June 1 , 2016 (acceptance notification: 8 June 2016) BICS 2016 ORGANIZING COMMITTEE: General Chairs: Cheng-Lin Liu (Institute of Automation, Chinese Academy of Sciences, China) Amir Hussain (University of Stirling, Scotland, UK) Program Chairs: Bin Luo (Anhui University, China) Kay Chen Tan (National University of Singapore, Singapore) Publicity Chairs: Cesare Alippi (Politecnico di Milano, Italy) Haibo He (University of Rhode Island, USA) Hussein Abbass (University of New South Wales - Canberra - Australia) Erik Cambria (NTU, Singapore) Local Organization Chair: Yi Zeng (Institute of Automation, Chinese Academy of Sciences, China) Publication Chair: Zhaoxiang Zhang (Institute of Automation, Chinese Academy of Sciences, China) Special Sessions and Workshops Chair: Jingpeng Li (University of Stirling, Scotland, UK) Secretariat: bics2016(a)ia.ac.cn We looking forward to seeing you at BICS'2016! -- The University achieved an overall 5 stars in the QS World University Rankings 2015 The University of Stirling is a charity registered in Scotland, number SC 011159.

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Reminder: Summer School "Advanced Scientific Programming in Python" in Reading, UK, September 5--11, 2016
by Jakob Jordan 13 May '16

13 May '16

Reminder: Deadline for application is 23:59 UTC, May 15, 2016. Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, and the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 15, 2016. Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Travel grants may be available. Date & Location =============== September 5—11, 2016. Reading, UK Program ======= - Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization - Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code - Scientific Tools for Python • Advanced NumPy - Advanced Python • Decorators • Context managers • Generators - The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data - Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of PyTables, Spain • Pietro Berkes, Enthought Inc., Cambridge, UK • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, VA, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Tiziano Zito, freelance consultant, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany For the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading UK: • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan 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 tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc Position in Computational Neuroscience, Max Planck Institute, Leipzig, Germany
by Katharina von Kriegstein 13 May '16

13 May '16

Applications are welcomed for a postdoctoral research position at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS) in Leipzig, Germany in collaboration with the Technical University Dresden, Germany. The objective of the postdoctoral research project is to use computational modelling and neuroimaging to work towards a novel model for cortico-subcortical interactions for human communication signals. The project is funded by the ERC-consolidator grant SENSOCOM (http://cordis.europa.eu/project/rcn/199655_en.html) The position will be jointly supervised by Katharina von Kriegstein at the MPI-CBS and Stefan Kiebel at the TU Dresden. The MPI-CBS offers a unique research environment with a 7.0 T MRI scanner, several 3.0 T MRI scanners, a 306 channels MEG system, TMS/tDCS laboratories, several EEG suites, and eye-tracking labs. All facilities and data analyses are supported by experienced IT specialists and physicists. The TU Dresden is one out of eleven German Universities of Excellence. It houses a state-of-the art neuroimaging centre with a strong focus on computational modelling and access to the TU Dresden high-performance computing clusters. Besides an excellent infrastructure, both centres offer an international and friendly environment with researchers from diverse backgrounds. The position is ideal for candidates interested in research at the interface between computational modelling and experimental neuroimaging. The candidates must have a PhD (or equivalent) in computational neuroscience, experimental psychology, or a related field, and should be able to demonstrate a consistently outstanding academic record, including publications. The ideal candidate will have expertise in computational neuroscience, physics, mathematics, or similar with a strong interest in implementing computational models (e.g., Bayesian filtering, hierarchical dynamic models, predictive coding) and testing these with neuroimaging experiments. The starting date for the position is flexible. Initially for two years, the position offers the possibility of extension for up to four years. Salary depends on experience and is based on regulations of the Max Planck Society. To apply, please include all documents in one PDF-file in the following order: CV, contact information of two referees, a brief statement describing your personal qualifications and future research interests, copies of up to three of your publications. Applications with the subject heading "CM 16 PD" should be sent via email to: personal(a)cbs.mpg.de. Closing date for applications is the 12th June 2016. Informal enquiries regarding the post should be directed to: Prof. Dr. Katharina von Kriegstein (kriegstein(a)cbs.mpg.de) For more information about the groups see: Prof. Katharina von Kriegstein: http://www.cbs.mpg.de/independent-research-groups/human-communication Prof. Stefan Kiebel: https://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_n… A link to the position description is available here: http://www.cbs.mpg.de/454795/job_full_offer_10498685?c=7390 The MPI-CBS is an equal opportunities employer, committed to the advancement of individuals without regard to ethnicity, religion, gender, or disability. --- Katharina von Kriegstein Max Planck Research Group Leader Max Planck Institute for Human Cognitive and Brain Sciences Stephanstr. 1A, 04103 Leipzig, Germany Professor of Cognitive and Clinical Neuroscience Humboldt University of Berlin Rudower Chaussee 18, 12489 Berlin, Germany Phone +49 (0) 341-9940-2476 Fax +49 (0) 341-9940-2448 http://www.cbs.mpg.de/independent-research-groups/human-communication

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CFP ==> AIPR2016 [IEEE] - Poland - September
by Grace Allas 12 May '16

12 May '16

*** CALL FOR PAPERS *** All registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore The Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR2016) Lodz University of Technology, Lodz, Poland September 19-21, 2016 http://sdiwc.net/conferences/aipr2016/ IMPORTANT DATES Submission Deadline : Open from now until August 19, 2016 Notification of Acceptance : 4-7 weeks from the submission date Camera Ready Submission : Open from now until September 09, 2016 Registration Deadline : Open from now until September 09, 2016 --------------------------------------------------- RESEARCH TOPICS ARE NOT LIMITED TO: • Agent-based Systems • AI and Evolutionary Algorithms • Ant Colony Optimization • Approximate Reasoning • Artificial Immune Systems • Artificial Intelligence in Modeling and Simulation • Artificial Intelligence in Scheduling and Optimization • Artificial Life • Automated Problem Solving • Bioinformatics and Computational Biology • Biometric Authentication • Brain-machine Interfaces • Camera Networks and Vision • Case Studies • Cognitive Systems and Applications • Collective Intelligence • Computer Vision • Data Mining • Decision Support Systems • Differential Evolution • Distributed AI Systems and Architectures • Emerging Technologies • Evolutionary Data Mining • Evolutionary Design • Evolutionary Scheduling • Expert Systems • Fuzzy Computing with Words • Fuzzy Control and Intelligent Systems • Fuzzy Decision Making and Decision Support Systems • Fuzzy Logic and Fuzzy Set Theory • Fuzzy Optimization and design • Fuzzy Pattern Recognition • Fuzzy Systems for Robotics • Game Theory • Hardware Implementations • Heuristic Searching Methods • Integration of AI With Other Technologies • Intelligent Agents • Intelligent Data Mining and Farming • Intelligent Databases • Intelligent Information Systems • Intelligent Networks • Intelligent Tutoring Systems • Intelligent User Interface • Intelligent Web-based Business • Knowledge Engineering • Knowledge Networks and Management • Knowledge-based Recognition • Knowledge-intensive Problem Solving Techniques • Machine Learning • Modeling and Identification • Molecular and Quantum Computing • Motion and Tracking Algorithms and Orientation Estimation • Multi-agent Systems • Multimedia Systems and Applications • Natural Language Processing • Neural Network Theory, Architectures and Applications • Novel Noise Reduction Algorithms • Particle Swarm Optimization • Printing Technologies • Robotics and Related Fields • Rough Sets and Rough Data Analysis • Segmentation Techniques • Signal and Speech Processing • Social Impact of AI • Software Tools for AI • Speech Understanding • Structural and Syntactic Pattern Recognition • Supervised and Unsupervised Learning • Type-2 Fuzzy Logic • Various Applications • Watermarking Methods and Protection • Web Intelligence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All the registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Paper Submission: http://sdiwc.net/conferences/aipr2016/openconf/openconf.php Write us for more details: aipr16(a)diwc.net NOTE: Please see other co-conferences: - The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET2016) http://sdiwc.net/conferences/csceet2016/ - The International Conference Numerical Methods and Applied Mathematics (NMAM2016) http://sdiwc.net/conferences/nmam2016/ ---------------------------------------

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[UKCI 2016] Extended Call for Papers
by Teng Teck Hou 12 May '16

12 May '16

[Apologies for the cross-postings] ########################################################### CALL FOR PAPERS The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016 September 7-9, 2016, Lancaster, United Kingdom http://wp.lancs.ac.uk/ukci2016/ ########################################################### The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016 this year is being hosted by Lancaster University. UKCI is the premier UK event for presenting leading research on all aspects of Computational Intelligence. The aim of this Workshop is to provide a forum for the academic community and industry to share ideas about developing and using Computational Intelligence (CI) techniques, the new trends and to exchange views and ideas. CI is a rapidly expanding research field, attracting a large number of scientists, engineers and practitioners working in areas such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. A growing number of companies are employing CI techniques to improve previous solutions and to deal with new problems. These include evolving systems that allow high performance in spite of changes which are either external or internal to the system, thereby increasing the re-usability of developed systems. This also include smart, intelligent and autonomous systems, self-learning, self-adapting, self-calibrating and self-tuning. UKCI-2016 will take place in Lancaster House Hotel, located conveniently within the campus of Lancaster University, few miles from the city centre including Lancaster Castle. The city offers excellent transport links, with easy access to the M6, railway station and ferry links. Beyond the array of activities within the city, Lancaster is close to Britain’s premier tourist area – Lake District, and is home to theatres, museums, Ashton Memorial and Williamson park. #################### Important dates ##################### - Paper submission: May 15th, 2016 - Notification of paper acceptance: June 15th, 2016 - Camera-ready submission: July 15th, 2016 ########################################################## #################### Plenary speakers #################### - Jose Principe, Distinguished Professor, University Of Florida, USA - Trevor Martin, Bristol University and Senior Researcher, British Telecom, UK - Xin Yao, School of Computer Science, University of Birmingham, UK - Stephen Fubrer, School of Computer Science, University of Manchester, UK ########################################################## #################### Organizing committees ############### * Honorary Chair - Prof. Janusz Kacprzyk, Fellow Polish Academy of Sciences * General Chair - Prof. Plamen Angelov, Lancaster University * Programme Chairs - Prof. Qiang Shen, Aberystwyth University - Prof. Chrisina Jane, Robert Gordon University * Publication Chair - Dr. Alexander Gegov, Portsmouth University * International Liaison - Ms Azliza Mohd Ali, Lancaster University * Finance Chair - Ms Carol Airey, Lancaster University * Local Organisation Chairs - Dr. John Mariani, Lancaster University - Mr Richard Gnosill, Lancaster University * Publicity Chair - Dr. Teng Teck Hou, Singapore Management University * Awards Chair - Prof. Araceli Sanchis de Miguel, Carlos III University, Spain * Special Session Chair - Prof. Ahmad Lotfi, Nottingham Trent University - Dr. Xiao Jun Zeng, Manchester University ########################################################## ############# Paper Submission and Publication ########### * Papers for UKCI 2016 should be submitted electronically through the Conference website at http://wp.lancs.ac.uk/ukci2016/call-for-papers/, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. * Selected papers will be considered for publication, following substantial extension, in a Special Issue of the Soft Computing Journal (Springer). ########################################################## #################### Awards ############################## * A best regular paper and a best student paper will be selected for this award * This best paper award consists of a plaque and a €200 honorarium * The best paper awards are sponsored by Springer ########################################################## ###### Topics and Areas include, but not limited to ###### Topics of interest include (but are not limited to) * Computational intelligence methodology * Computational intelligence for big data * Making Sense from Data (streams) * Knowledge representation * Fuzzy logic, fuzzy systems, approximate reasoning; * New Machine Learning Methodologies * Artificial Neural Networks * Evolutionary computation, swarm intelligence, artificial immune systems, memetic computing, Nature-inspired computing * New and emerging computational intelligence approaches from hybrid learning and systems, molecular and quantum computing * Software agents and multi-agent systems, intelligent control * Intelligent Video Analytics * Applications of computational intelligence techniques in engineering, healthcare, finances, (cyber)security, signal, image and video processing ########################################################## #################### Call for Special Session Proposals ######################### * UKCI-2016 will retain its traditional format of a single track with special sessions on selected “hot” topics. * Please email proposals for special sessions to ukci2016(a)lancaster.ac.uk by 20th March 2016 ########################################################## #################### Co-Sponsors ######################### * Springer * Department of Engineering and the School of Computing and Communications, Lancaster University ##########################################################

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Workshop on EEG monitoring with dry electrodes at OHBM 2016
by Uwe Graichen 11 May '16

11 May '16

Dear colleagues, it is my pleasure to announce the workshop "EEG monitoring with dry electrodes: the achievements of the ANDREA European project and future perspective", which will be a satellite meeting of the OHBM 2016 and will take place at Palexpo in Geneva on June 25, 2016. This workshop, promoted by the partners of the ANDREA project (www.andreaproject.eu ), is meant to inform and educate everyone who may be interested in EEG monitoring using dry electrodes, from novices to experts. We will discuss novel multi-channel EEG caps with dry electrodes. The partners of the ANDREA project and external experts will present the most recent advancements in sensors, caps and electronics, as well as data processing and artifact reduction algorithms. The detailed program is attached. Registration to the workshop is required but is free of charge. Further details can be found at the page http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3688. Spread the news among your colleagues and collaborators, as we hope to meet all of you in Geneva! Best regards, Silvia Comani, PhD Associate Professor of Applied Physics Director, BIND - Behavioral Imaging and Neural Dynamics Center Coordinator - EU Project ANDREA (www.andreaproject.eu) Dept. of Neuroscience, Imaging and Clinical Sciences University "G. d'Annunzio" of Chieti-Pescara Chieti Via dei Vestini, 33 66013 Chieti - Italy comani(a)unich.it http://www.bindcenter.eu phone: +39 0871 3556925 fax: +39 0871 3556930

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Postdoc and PhD positions. In vivo electrophysiology, optogenetic and motor learning. Marseille
by david robbe 10 May '16

10 May '16

A postdoctoral and a PhD positions funded by a Consolidator Grant from the European Research Council (ERC) are available in the group of David Robbe at the Institut de Neurobiologie de la Mediterrannée (INMED) in Marseille, France. The Robbe Lab studies the neuronal bases of motor learning and motor control with a focus on the role of cortico-striatal system and the specific contribution(s) of selective striatal cell types. We perform electrophysiological recordings of spiking activity (using silicon probes, tetrode arrays and optrodes) and neuronal perturbation (lesions, inactivations, optogenetic stimulation) on rodents (mice or rats) engaged in original motor tasks. The tasks design allows high-throughput training of animals, manipulations of task constraints to understand the psychophysical determinants of performance and closed-loop optogenetic perturbation of neuronal activity. The positions suit candidates highly motivated to perform large-scale electrophysiological and optrodes recordings in behaving rodents (mice or rats). The successful candidates should be genuinely interested in understanding animal behavior, hardworking and capable to learn to perform delicate surgical procedures. A previous experience in either in vivo electrophysiology, optogenetic or data analysis (using Python or Matlab) is expected. Applicants with quantitative (physics, maths) or engineering backgrounds willing to acquire experimental skills are encouraged to apply. For the postdoc position, the salary is initially granted for the first 2 years, and may be extended according to progress and available funding. The PhD position is funded for 3 years. INMED is composed of several internationally renowned groups working on the development, function and pathology of neuronal circuits. The scientific excellence of INMED and its outstanding location at the entrance of the National Park des Calanques provide a rich and stimulating working/living environment. Applications (CV, a short statement of research interests and experience (max. one page), at least 2 reference letters) should be sent to david.robbe(a)inserm.fr. Application will be considered until the positions are filled. The positions are available immediately and expected to start at the latest in fall 2016. Selected candidates will be invited for an interview at the INMED (travel expenses covered). Relevant publication: Rueda-Orozco, PE and Robbe D (2015) The striatum multiplexes contextual and kinematic information to constrain motor habits execution. Nat Neurosci. 18:453-60. Additional information on the research performed in the Robbe lab: http://www.inmed.fr/en/en-avenir-dynamiques-neuronales-et-fonctions-des-gan… -- David Robbe, PhD Neuronal dynamics and functions of the basal ganglia Institut de Neurobiologie de la MEDiterrannee (INMED) INSERM-UMR901 163, avenue de Luminy. BP13 13273 Marseille Cedex 9 France http://www.inmed.fr/avenir-dynamiques-neuronales-et-fonctions-des-ganglions… Tel: +33 4 91 82 81 99 Fax: +33 4 91 82 81 05 "The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge", Stephen Hawking

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Applicant Call for Goettingen's Advanced Computational Neuroscience Summer School
by Agostina Palmigiano 10 May '16

10 May '16

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Applications are invited for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 06th - 16th, 2016 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced mathematical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day theoretical blocks + 4 evening lectures in charge of the following researchers: * Vijay Balasubramanian <http://www.sas.upenn.edu/%7Evbalasub/public-html/Home.html>, University of Pennsylvania, Philadelphia, Germany * Jason Kerr <http://www.caesar.de/bbo.html>, Center of Advanced European Studies and Research, Bonn, Germany * Gilles Laurent <http://brain.mpg.de/research/laurent-department.html>, MPI for Brain research, Frankfurt, Germany * Tobias Moser <http://www.innerearlab.uni-goettingen.de/>, University Medical Center, Göttingen Germany * Erwin Neher <http://www.nobelprize.org/nobel_prizes/medicine/laureates/1991/neher-bio.ht…>, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany * Magnus Richardson <https://www2.warwick.ac.uk/fac/sci/systemsbiology/staff/richardson/>, University of Warwick, Conventry, England * Wolf Singer <http://www.esi-frankfurt.de/research/singer-lab/>, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany * Misha Tsodyks <http://www.weizmann.ac.il/neurobiology/labs/tsodyks/>, Weizmann Institute of Science, Rehovot, Israel The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 euros. Course language is English. Housing is provided by the school. Travel grants can be provided upon request. Only 15 participants will accepted. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *June 15, 2016*. Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Manuel Schottdorf, Jens Wilting Best wishes and looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

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CIBB 2016 - Second Call for Papers
by Andrea Bracciali 09 May '16

09 May '16

[apologies for multiple posting] ============================================================== SECOND CALL FOR PAPERS CIBB 2016 13th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics University of Stirling, Stirling, Scotland UK September 1-3 2016 http://www.cs.stir.ac.uk/events/cibb2016/ cibb2016(a)gmail.com ============================================================== In evidence (please see below and the web for details): - the very interesting list of INVITED SPEAKERS is growing ! - five new SPECIAL SESSIONS are running ! - EXTENDED DEADLINES for paper submission Please, connect to the conference via @CIBB2016 on twitter Keynote Speakers (to be completed) Prof. Mark Beaumont School of Biological Sciences, Bristol University Evolutionary Biology Prof. Natalio Krasnogor School of Computing Science, Newcastle University Computing Science and Synthetic Biology Prof. Bud Mishra Courant Institute of Mathematical Sciences and NYU School of Medicine, New York University NYU, and Mt Sinai School of Medicine Computer Science, Cell Biology and Genetics Dr. Guido Sanguinetti School of Informatics, University of Edinburgh System design of stochastic models SPECIAL SESSIONS Engineering Bio-interfaces and Rudimentary Cells as a way to develop Synthetic Biology Contacts: Maria Raposo, mfr(a)fct.unl.pt Biocuration and integration of biomedical databases Contacts: Riccardo Rizzo, ricrizzo(a)pa.icar.cnr.it Modelling and simulation methods for Systems Biology and Systems Medicine Contacts: Paolo Cazzaniga, paolo.cazzaniga(a)unibg.it High-Performance Computing and Deep learning methods for Genomic Data Analysis Contacts: : Fabio Tordini, tordini(a)di.unito.it Statistical inference in mechanistic models of biological system Contacts: Dirk Husmeier, Dirk.Husmeier(a)glasgow.ac.uk Scope The main goal of this 13th edition of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2016 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: · Next generation sequencing bioalgorithms · Multi-omics data analysis · High dimensional statistical analysis of omics data · Algorithms for alternative splicing analysis · Algorithms for molecular evolution and phylogenetic analysis · Methods for the visualization of high dimensional complex omic data · Software tools for bioinformatics · Methods for comparative genomics · Methods for functional classification of genes · Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data · Health-Informatics and Medical Informatics. · Methods for the integration of clinical and genetic data · Heterogeneous data integration and data fusion for diagnostics · Algorithms for pharmacogenomics · Biomedical text mining and imaging · Methods for diagnosis and prognosis within personalized medicine · Statistical methods for the analysis of clinical data · Prediction of secondary and tertiary protein structures · Mass spectrometry data analysis in proteomics · Algorithms for molecular evolution and phylogenetic analysis · Bio-molecular databases and data mining · Mathematical modeling and automated reasoning on biological and synthetic systems · Computational simulation of biological systems · Methods and advances in systems biology · Spatio-temporal analysis of synthetic and biological systems · Network systems biology · Models for cell populations and tissues · Methods for the engineering of synthetic components · Modelling and engineering of interacting synthetic and biological systems · Software tools for bioinformatics, biostatistics, systems and synthetic biology Publication Accepted papers will be presented at the conference (at least one author is expected to register), and will be published on proceedings for conference distribution. Extended and revised versions of the papers presented at CIBB 2016 will be invited for a post-conference monograph. This is traditionally published in the Springer series of Lecture Notes in Bioinformatics (LNBI), (arrangements undergoing). Continuing the tradition of CIBB, we are planning to publish best papers in one (or more, as appropriate) special issue of an international scientific journal (such as BMC Bioinformatics, in the latest editions). Paper Submission Papers must be prepared following the guidelines illustrated on the CIBB web site and should be long between 4 and 6 pages. Papers should be submitted in PDF format on the Easy Chair conference system (link available on the web site). Important Dates Paper submission deadline: 29th May 2016 Notification of acceptance: 22nd June 2016 Final paper due: 8th July 2016 Conference: 1st -3rd September 2016 General Chairs Andrea Bracciali, University of Stirling, UK David Gilbert, Brunel University London, UK Gilbert MacKenzie, UL, ENSAI and Keele, UK

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3-year sensory-motor learning research fellow position at University of Birmingham
by Joseph Galea (School of Psychology) 09 May '16

09 May '16

Dear all, Applications are invited for a 3-year postdoctoral position with Dr. Joe Galea (http://josephgalea.weebly.com) at University of Birmingham, UK (www.birmingham.ac.uk/schools/psychology/index.aspx<http://www.birmingham.ac.uk/schools/psychology/index.aspx>). The successful candidate will work on an ERC starting grant which will build upon recent work from the lab that has shown reward and punishment-based feedback to have dissociable effects on motor learning. Using a combination of behavioural analysis, genetics, pharmacology and modelling techniques this project will provide the first in-depth behavioural and neural account of the role of motivation (reward/punishment) in motor learning. For 1st of October 2016, I am looking to appoint a highly motivated candidate for a postdoctoral position. This role is aimed at developing a set of motor learning based tasks (model-based/ reinforcement/ use-dependent) that will be used to examine motivation in a range of motor learning settings. The postholder will be responsible for the programming of these tasks, testing them in a large set of healthy volunteers (who we will also collect genetic data from) and for the analysis of the behavioural data (kinematic/computational models). The successful candidate will have a PhD in Psychology, Physiology, Neuroscience, Engineering, Physics or Maths and have extensive experience with programming and running motor control/learning studies. Ideally they will be familiar with the KINARM end-point robot (B.KIN technologies) and/or be an expert with Simulink/Matlab (graphical-based programming). An ability to analyse behavioural data with matlab and perform computational analysis would be ideal. Finally they should have evidence of good academic writing and presentation skills through conference presentations and a strong (recent) publication record. Detailed information can be found here: http://www.jobs.ac.uk/job/ANP415/research-fellow/ Informal enquiries should be directed to: Dr. Joseph Galea (j.galea(a)bham.ac.uk) Closing date: 3/June/2016 Best regards, Joseph Galea Senior Birmingham Fellow ERC Starting Grant Holder School of Psychology University of Birmingham, UK.

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First CfP SAN2016
by Manousos Klados 08 May '16

08 May '16

Dear colleagues, please, accept our advanced apologies for any multiple cross-postings... The Society of Applied Neuroscience (SAN, http://www.applied-neuroscience.org/) in cooperation with the Medical School of the Aristotle University of Thessaloniki and the Department of Neurology of the Max Planck Institute for Human Cognitive and Brain Sciences, have the great pleasure to invite you to the biennial meeting of the Society, SAN2016 (http://applied-neuroscience.org/san2016/) which will be held in Corfu Island, Greece between 6-9 of October, 2016. We cordially invite everyone engaged in studies of Neuroscience, to participate in the SAN2016 meeting. Apart from the highly promising scientific program, blended with numerous workshops and special sessions, there will also be a lively social program which will give our guests the opportunity to enjoy Greece and Corfu.We feel confident than you will enjoy SAN2016 both scientifically and socially as one of our main purposes is to give the chance to all colleagues to establish new fruitful international collaborations in areas of mutual academic and clinical interests. SAN2016 will bring together scientists and practitioners from a wide range of specialist fields. These include, but are not limited to: EEG/ MEG/ fMRI/ fNIRS Neurofeedback fMRI-NFB studies Brain Computer Interfaces Trans Cranial Magnetic Stimulation Peripheral Biofeedback Direct Current Stimulation Event-Related Potentials Brain Connectivity Neuronal Reorganization EEG and Cognition QEEG Diagnosis Emerging combined EEG and Virtual/augmented reality technology Instrumentation Audio-Visual Stimulation LORETA & Methodology Clinical, educational, sport and optimal performance applications Rehabilitation Integrative Therapy Complimentary evidence-based applications ...and all fields of applied neuroscience. All the above blended by an attractive selection of keynote and invited speeches, as well as, hands-on pre-conference workshops. There will be a practitioner track focusing on topical issues. The conference committee receives more proposals than space available. Careful attention to Quality of work, clarity and completeness of the submitted materials is likely to increase the chance for acceptance. All the accepted abstracts will be published in the Frontiers in Human Neuroscience. SAN2016 abstract submission is supported by a Frontiers event and are directly submitted through the following link until the 20th of June, 2016: http://www.frontiersin.org/events/SAN2016_Meeting/3717 Numerous special issues and research topics are also planned by Society members as per tradition. We believe that SAN2016 will be a wonderful chance for you, to meet old friends and make new ones. We look forward to seeing you in Corfu, Greece! Panos Bamidis John Gruzelier Manousos Klados SAN2016 Conference Chairs Manousos Klados, PhD Max Planck Institute for Human Cognitive & Brain Sciences Research Group of Neuroanatomy and Connectivity Phone: +49(0)-341-9940-2507 <+49(0)-341-9940-2507> Mobile: +49(0)-176-6988-1781 Email: klados(a)cbs.mpg.de <klados(a)cbs.mpg.de> Website: http://www.mklados.com Skype: mklados | Twitter: @mklados Address: Stephanstraße 1a PC D-04103 Leipzig Germany Join us at our next event:SAN 2016 Conferece <http://applied-neuroscience.org/san2016/index.php>

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Research Position: Brain Prosthesis Algorithms
by Randal Koene 06 May '16

06 May '16

Brain Prosthesis Algorithms Brain science is the new rocket science. We’re building algorithms and software to correct deficits and enhance cognitive brain function using electrophysiology. We’re not making drugs or creating a brain training game, we’re using a data driven method to create neural prostheses to restore and enhance human cognitive performance. Join us in this delicious engineering opportunity in developing probabilistic kernel models of the hippocampus for a first application in memory. What we’re looking for: a data & algorithms or machine learning specialist with an exceptional aptitude for regularization and matrix algebra. Potential projects include building classification and regression models for neural spiking data, decoding of the spatio-temporal patterns of spikes with respect to behavior, analyzing large-scale complex neural data, building mixed model of point-process signals, and other data-driven modeling projects. Working with the cross-disciplinary members of our team which includes Professors at the University of Southern California (USC), you would be driving a neural system identification modeling platform that is pushing the state-of-the-art in neurocognitive therapeutics. Self-taught or via formal education, we expect not only that you meet our prerequisites on skills and mission alignment, but that you thrive in a meritocracy of mutual peer review within a first-class team. We expect that you take responsibility for your projects, demonstrate excellence, vision, and diligent but creative invention. You are the right person for this job if you are: - Strong in linear algebra/matrices, basis transformations, model order / dimension reduction, numerical methods - Strong in regression analysis, data analysis, nonlinear mathematical modeling - Results oriented, driven, flexible, adaptable, and have the courage to take on an ambitious project, because what matters most is to build a flourishing future We’d also love it if you have skills and experience in: - Either electrical engineering, biomedical engineering, statistics, computer science, computational neuroscience, or related fields - Machine learning (e.g. Bayesian, deep learning), time series analysis, pattern recognition, and point-process signal processing is highly preferred - Neural circuit modeling / exploration (e.g. discovering functional connectivity), control theory, system identification, compartmental neural modeling (e.g. NEURON) - Python, Matlab, C/C++/C#, R, Linux/Unix Exceptional team. Full-time. Benefits. Competitive compensation. Ground breaking work. To apply, please send an email with 1) CV (and list of publications) and 2) contact information for 2-3 professional references to: Dr. Randal A. Koene at brainprosthesis(a)gmail.com with a subject line “Brain Prosthesis Algorithms application”.

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Postdoctoral Research Assistant in functional optical neuroimaging (fNIRS) interpretation
by f.orihuela-espina＠ccc.inaoep.mx 06 May '16

06 May '16

Please disseminate as appropriate and apologies for duplicates *Postdoctoral Research Assistant in functional optical neuroimaging (fNIRS) interpretation* Publication date: 30-Dec-2015; Revised: 1-May-2016 *About the Position*: The Department of Computer Science at Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) in Puebla, Mexico, invites applications for a 1.5 years full-time postdoctoral research assistant position in the field of functional optical neuroimaging (fNIRS) interpretation. The position will suit candidates with strong background in Knowledge Representation, Statistics and Experimental Design, Medical Physics and/or Neurosciences. Candidates must hold a Ph.D. in a relevant discipline (e.g. computer science, mathematics, statistics, physics, engineering, neurosciences). The position is invited as from the 1st of September 2016 but earlier or later incorporations might be considered. *About the project*: Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging modality available for understanding brain behaviour for which current analysis and interpretation methods were often inherited and adapted from other neuroimaging modalities such as functional magnetic resonance imaging (fMRI). This migration of methods is never trivial or without compromises. This 3 years $2M MXN project explores alternative analysis and interpretation algorithms and techniques specifically developed for fNIRS which can answer complex questions about cognitive activity while considering and exploiting fNIRS specific particularities. For further details about the project and how to apply, please visit: http://ccc.inaoep.mx/~f.orihuela-espina/Src/Jobs.php *Contact*: Dr. Felipe Orihuela-Espina. e-mail: f.orihuela-espina(a)ccc.inaoep.mx

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INCF short course in neuroinformatics, Aug 31 - Sep 1 in Reading, UK
by Malin Sandström 06 May '16

06 May '16

Dear all, (apologies for cross-posting) This year, the two-day INCF short course in neuroinformatics will be held in Reading, UK on August 31 - September 1, just before INCF's Neuroinformatics 2016 <http://neuroinformatics2016.org/>. The course is intended for neuroscience researchers wishing to develop their interests in neuroinformatics as well as informatics researchers with a strong interest in neuroscience. The course is open to advanced students, postdoctoral researchers, and faculty members. Basic knowledge of neuroscience is a prerequisite. Apply latest May 31! https://www.incf.org/resources/training/incf-short-course-2016 *Topics covered* data analysis and neuronal coding databases and ontologies multiscale modeling neuroengineering simulation/computation/workflows visualization dynamic field theory *Speakers* David Willshaw (Edinburgh, UK) GIacomo Indiveri (Zürich, Switzerland) Hayriye Cagnan (Oxford, UK) Yulia Sandamirskaya (Zürich, Switzerland) Roberto Toro (Paris, France) Gaute Einevoll (Ås, Norway) Marja-Leena Linne (Tampere, Finland) Please help spread the word to prospective students! Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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4-year Ph.D. Position in Neuroscience at the Donders Institute
by Bernhard Englitz 05 May '16

05 May '16

Dear List, we are pleased to announce a 4-year Ph.D. position in the field of neuroscience, with a focus on acquisition and computational analysis of multilevel neural data. The position will be jointly supervised by Dr. Englitz and Dr. Cohen. Please find the details of the call below. Best wishes, Bernhard & Mike Bernhard Englitz, Ph.D. Assistant Professor Department of Neurophysiology Donders Centre for Neuroscience Faculty of Science, Radboud Universiteit Heyendaalseweg 135, 6525 AJ Nijmegen ------------------------------------------------------------------------------------------------------------------------------------ Project: This project will involve a combination of EEG and lowlevel neural recordings from multiple areas of the brain in rodents. Our focus will be on the rapid patterns of electrical activity that are observed during rest, sleep, and cognition. We will compare neural activity in multiple brain regions to simultaneously recorded EEG activity, in order to determine how these multiscale microstates are related to sensory processing. Results from this project will help us understand how the EEG signal is related to the complex spatiotemporal dynamics of the brain, its neural computations, and their relation to sensory perception. In turn, these findings will help lay groundwork for individualized diagnosis of brain dysfunctions. Scientific Environment: The Donders Institute for Brain, Cognition and Behaviour consists of three research centres, the Centre for Cognition, the Centre for Cognitive Neuroimaging and the Centre for Neuroscience. The Donders Institute focuses on state-of-the-art cognitive neuroscience, in a multidisciplinary approach, and offers excellent lab and neuroimaging facilities. The position will be jointly hosted at the Neuroinformatics and the Neurophysiology departments, which together provide a high quality neuroscience environment with facilities for chronic and non-chronic many-channel recordings, imaging and computational modeling. The research questions of the departments range from fundamental to applied, and enable the interaction of theory and experimental work in a single location. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University offers a parental leave scheme and day care on campus. Qualifications: - MSc degree in computational neuroscience, mathematics, physics, engineering or a related area. - Experience with programming and data analysis in Matlab/Python. - Experience with quantitative analysis (e.g. linear algebra, time-frequency analysis) - Experience with electrophysiology is considered a plus. - The applicant should have a pro-active attitude, good communication skills, and be able to effectively work in a multi-disciplinary team. Application Link: http://www.ru.nl/werken/details/details_vacature_0/?recid=579059 <http://www.ru.nl/werken/details/details_vacature_0/?recid=579059> Closing Date of Call : 30.5.2016 Planned Starting Date : 1.9.2016

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Ph.D. and Master positions in theoretical neuroscience at the MPI for Brain Research
by Tatjana Tchumatchenko 04 May '16

04 May '16

Ph.D. and Master positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are seeking undergraduate students interested in writing a Master thesis and also have open positions for Ph.D. Students to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko -- Dr. Tatjana Tchumatchenko Research group leader Theory of Neural Dynamics Max Planck Institute for Brain Research Max-von-Laue-Str 4 60438 Frankfurt am Main, Germany www.tchumatchenko.de

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Collaborative Development of Data-Driven Models of Neural Systems: Janelia Farm Sept 18-12
by Padraig Gleeson 04 May '16

04 May '16

[Apology for cross-postings] Dear colleagues, We are pleased to announce a conference on: Collaborative Development of Data-Driven Models of Neural Systems September 18-21, 2016 Janelia Farm Research Campus, Virginia, USA Deadline for registration: 18th May Detailed computational models are critical for elucidating neuronal and network function. They enable different levels of description to be linked, a wide range of neurophysiological experiments to be interpreted and quantitative predictions to be made. These factors are important for understanding large-scale complex systems, like neural circuits; however, more extensive use and scaling up of these data driven models pose challenges in ensuring that models are scientifically rigorous, as well as accessible and usable by both theoretical and experimental researchers alike. This conference will bring together a range of experimentalists, theoreticians and neuroinformatics developers with the aim of facilitating a global, open infrastructure for collaborative model development in neuroscience. *Organizers* Padraig Gleeson, University College London Angus Silver, University College London *Invited Participants* Anton Arkipov, Allen Institute for Brain Science Giorgio Ascoli, George Mason University Upinder Bhalla, National Centre for Biological Sciences Avrama Blackwell, George Mason University Kevin Briggman, National Institute of Neurological Disorders and Stroke/NIH Dean Buonomano, University of California, Los Angeles Nicholas Cain, Allen Institute for Brain Science Claudia Clopath, Imperial College London Rosa Cossart, Institut de Neurobiologie de la Méditerranée Sharon Crook, Arizona State University Andrew Davison, Centre National de la Recherche Scientifique Erik De Schutter, Okinawa Institute of Science and Technology Shaul Druckmann, Janelia Research Campus/HHMI Chris Eliasmith, University of Waterloo Jeremy Freeman, Janelia Research Campus/HHMI Michael Hausser, University College London Jeanette Hellgren Kotaleski, Karolinska Institutet Fritjof Helmchen, University of Zurich David Kleinfeld, University of California, San Diego Jeff Magee, Janelia Research Campus/HHMI Robert McDougal, Yale School of Medicine Eilif Muller, École Polytechnique Fédérale de Lausanne Hanchuan Peng, Allen Institute for Brain Science Ruben Portugues, Max Planck Institute of Neurobiology Mark Schnitzer, HHMI/Stanford University Ivan Soltesz, Stanford School of Medicine Nelson Spruston, Janelia Research Campus/HHMI Misha Tsodyks, Weizmann Institute of Science Registration is free, but places are limited.*Registration closes 18th May 2016*. For more details and to apply for participation go to https://www.janelia.org/you-janelia/conferences/collaborative-development-d…. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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MICCAI Challenge on Neural Circuit Reconstruction
by Jan Funke 03 May '16

03 May '16

Dear colleagues, We would like to draw your attention to the MICCAI challenge "CREMI: Circuit Reconstruction from Electron Microscopy Images" (http://cremi.org/) As of May 1st, the training phase of the challenge has opened. We provide three volumes with dense neuron and synapse segmentation, along with annotations for pre- and post-synaptic partners (http://cremi.org/data.html) The goal of this challenge is to evaluate algorithms for automatic reconstruction of neurons and neuronal connectivity from serial section electron microscopy data. The comparison is performed not only by evaluating the quality of neuron segmentations, but also by assessing the accuracy of detecting synapses and identifying synaptic partners. The challenge is carried out on three large and diverse datasets from adult Drosophila melanogaster brain tissue, comprising neuron segmentation ground truth and annotations for synaptic connections. A successful solution would demonstrate its efficiency and generalizability, and carry great potential to reduce the time spent on manual reconstruction of neural circuits in electron microscopy volumes. Follow us on Twitter for updates (https://twitter.com/cremi_challenge) and feel free to contact us at challenge(a)cremi.org. Regards, The CREMI organizers (Jan Funke, Stephan Saalfeld, Davi Bock, Srini Turaga, and Eric Perlman)

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BMVA Workshop on "Vision for interaction: From humans to robots"
by Alessandra Sciutti 03 May '16

03 May '16

=============================================== VISION FOR INTERACTION: From humans to robots One Day BMVA symposium - London, UK on October 19, 2016 Website: www.bmva.org/meetings ================================================ **************** Keynote Speakers: **************** + Prof. Antonia Hamilton (UCL) and + Prof. Yiannis Aloimonos (Univ. of Maryland). **************** Abstract: **************** Since early infancy, the ability of humans at interacting with each other is substantially strengthened by vision, with several visual processes tuned to support prosocial behaviour. For instance, a natural predisposition to look at human faces or to detect biological motion is present at birth. More refined abilities as the understanding and anticipation of others' actions progressively develop with age, leading, in a few years, to a full capability of interaction based on mutual understanding, joint coordination and collaboration. A key challenge of robotics research nowadays is to provide artificial agents with similar advanced visual perception skills, with the ultimate goal of designing humanoid robots able to recognize and interpret both explicit and implicit communication cues embedded in human movements. These achievements pave the way for the large-scale use of Human-Robot Interaction based applications on a variety of contexts, ranging from the design of personal robots, to physical, social and cognitive rehabilitation. ******************* Call for contributions: ******************* In this highly interdisciplinary one-day workshop we aim at bringing together contributions from the fields of cognitive science, robotics, machine vision and artificial intelligence, to corroborate the discussion on the potential guidelines to design and develop biologically-inspired computational vision models that may favour a natural interaction between artificial systems and humans. Please submit a short abstract summarizing your contribution, you may include links or pointers to web-based illustrations, demonstration material or papers giving more details. The work can be in progress or recently published, in addition to novel research. If you would like to give a talk, please contact Noceti (nicoletta.noceti(a)unige.it ) and Sciutti (alessandra.sciutti(a)iit.it ) by email by July 6, 2016. Areas of interest include but are not limited to: Vision neuroscience for interaction Computational vision models Vision for Robotics and Artificial intelligence Human robot interaction Vision in Social sciences This workshop is supported by the European Project CODEFROR (FP7-PIRSES-2013-612555) ************** Important dates: ************** + July 6, 2016 Deadline for abstract submission October 19, 2016 + BMVA symposium at BCS (British Computer Society) in London, UK. *********** Chairs: *********** + Nicoletta Noceti (Università degli Studi di Genova) - + nicoletta.noceti(a)unige.it Alessandra Sciutti (Istituto Italiano di + Tecnologia) - alessandra.sciutti(a)iit.it

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Postdoc position: Neural engineering and BMI in NYU
by Chen, Zhe 02 May '16

02 May '16

Dear colleagues Applications are now being accepted for a postdoctoral fellow position to combine experimental, computational and engineering techniques to study neural mechanisms of central pain circuits using rodent models. The applicant will work closely with Dr. Zhe (Sage) Chen and Dr. Jing Wang at the New York University School of Medicine, with cross-disciplinary training in computational neuroscience, rodent behavior and electrophysiology, optogenetics, and neural engineering (brain-machine interface). The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute (http://neuroscience.med.nyu.edu) Center for Neural Science (http://www.cns.nyu.edu) Department of Neuroscience & Physiology (http://neuro-physio.med.nyu.edu) Department of Psychiatry (http://psych.med.nyu.edu) and Department of Anesthesiology, Perioperative Care and Pain Medicine (http://www.med.nyu.edu/anes/home ). NYU Neuroscience community is also surrounded by other institutions in the greater New York metropolitan area (such as Columbia, Cornell, Rockefeller and Mount Sinai). The postdoc position is available immediately, and will be renewable up to 4 years depending on performance. Applications must have a PhD degree in Engineering (Biomedical or Electrical), Statistics, Physics or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in all research projects. Ability to learn new techniques and resolve new research challenges is essential. Strong experiences in developing rodent or primate brain-machine interface (BMI) systems are desired. Previous training in animal behavior and optogenetics, in vivo neurophysiological recordings, are preferred but not required. Strong programming skills in C/C++ or hardware implementation experiences are a plus. To apply, please send an email along with (i) CV (with a complete list of publications); (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe (Sage) Chen (zhe.chen3(a)nyumc.org<mailto:zhe.chen3@nyumc.org>) with a subject line “Postdoc application”. Best Zhe (Sage) Chen ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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PhD position: population coding in the retina
by Olivier Marre 02 May '16

02 May '16

A funded PhD position is available at the Vision Institute, Paris, to work with Olivier Marre on population coding in the retina. We have developed methods to record the activity of a large number (100-200) of ganglion cells, the output of the retina. The student will perform experiments and analyze data to understand how information can be coded in this activity. A particular emphasis will be put on the coding of trajectories of moving objects in different visual contexts. The research project is highly interdisciplinary. Applicants should have a quantitative background or some programming experience. A background in biology is welcomed but not required. The student will be trained to perform in vitro retina experiments. The Vision Institute ( http://www.institut-vision.org ) is a research center located in the center of Paris and dedicated to research on vision and vision diseases, with the aim of bridging the gap between academic, clinical, and industrial research. It is affiliated to Pierre and Marie Curie University. This PhD is funded as part of a project involving Drs Frédéric Chavane and Ivo Vanzetta (INT Timone, Marseille, France) and Dr Bruno Cessac (INRIA, Sophia-Antipolis). Collaborations with these labs will therefore be encouraged. The position should ideally start in October 2016. For more information, please contact Olivier Marre: olivier.marre(a)inserm.fr

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2nd Call for Papers: IEEE RO-MAN 2016 Workshop on Neuroscience Methods in Human-Robot Interaction
by Burcu Ayşen Ürgen 02 May '16

02 May '16

IEEE RO-MAN 2016 Workshop on Neuroscience Methods in Human-Robot Interaction (New York City, 26-31st August, 2016) Neuroscience methods such as brain imaging are increasingly used to address research questions in robotics, robot-human communication and interaction. This workshop will provide an overview of state-of-the-art work at the intersection of human-robot interaction and human neuroscience, to show how cross-disciplinary collaboration can be a win-win, and to help increase communication between researchers from different yet complementary disciplines, with the hope of catalysing new ideas and collaborations. Neuroscientists with expertise in several topics of interest for RO-MAN 2016 <http://www.ro-man2016.org/> (e.g., embodiment, empathy, social cognition, body movements, gestures, facial expressions, anthropomorphism, learning and imitation, social presence, inference of human states, machine learning and brain-machine interfaces) will introduce the methods used, and present empirical work exemplifying their application to robotics, highlighting not only how such studies have led to insights on neural mechanisms of interaction, communication, and collaboration, but also how the findings inform the design and development of new robots, robot-human collaborative systems, interaction modalities and interfaces. We will solicit papers from the broader community that address these themes. Robotics and neuroscience both being active, rapidly developing, and high priority research areas, and the combination of expertise across disciplines holding great promise for advances in both theory and applications, the workshop will serve an important role by bringing together researchers coming from different backgrounds. Panel sessions will address challenges for interdisciplinary and novel research and discuss ideas for increasing synergy and impact future work. *SPEAKERS* Ayse P. Saygin, PhD (UC San Diego, USA) Emily S. Cross, PhD (Bangor University, UK) Thierry Chaminade, PhD (Institut de Neurosciences de la Timone, FRANCE) Susanne Quadflieg, PhD (University of Bristol, UK) James Thompson, PhD (George Mason University, USA) *WORKSHOP ORGANIZERS* Burcu A. Urgen, PhD (University of Parma, ITALY) Ayse P. Saygin, PhD (UC San Diego, USA) Emily S. Cross, PhD (Bangor University, UK) Workshop website: http://neurorobotics.ucsd.edu/ *CALL FOR PAPERS* We solicit full paper submissions from cognitive and social neuroscientists and human-robot interaction researchers with expertise in several topics of interest for RO-MAN 2016 including but not limited to embodiment, empathy, social cognition, nonverbal communication via body movements, gestures, facial expressions, anthropomorphism, learning and imitation, social presence, social knowledge, inference of human states, machine learning and brain-machine interfaces. The submitted papers are intended to include applications of various neuroimaging methods such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS) to topics of relevance to RO-MAN 2016. Observational and behavioural studies may be suitable as long as they are highly cross-disciplinary. Theoretical papers that address the theme of the workshop and RO-MAN 2016 may also be included. The expectation from submissions is to highlight not only how neuroscience studies involving robotics have led to insights on the human cognitive and neural mechanisms of interaction, communication, and collaboration, but also how the findings inform the design and development of new robots, robot-human collaborative systems, interaction modalities and interfaces. *EVALUATION* All submissions will be evaluated by a minimum of two reviewers. The reviewers will evaluate each submission based on how informative the study has been both to human neuroscience AND human-robot interaction as well as the quality of the research methodology. All accepted papers will be published in workshop proceedings. Each paper accepted for an oral or poster presentation has to be presented by one of the authors. *IMPORTANT DEADLINES* Full paper submissions due 05/15/2016. Notifications will be sent by 05/18/2016. Final versions will be submitted by 05/20/2016. *PAPER GUIDELINES* All full paper submissions should follow the guidelines specified in the main conference website, check here <http://www.tc.columbia.edu/conferences/roman2016/submissions/papers/>. *HOW TO SUBMIT* The papers should be emailed to neuroscience.robotics.workshop(a)gmail.com by the deadline: 05/15/2016. -- Burcu Aysen Urgen, PhD Email: burcu.urgen(a)gmail.com Website: http://www.burcuaysenurgen.com

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Book: Bayes' Rule With Python
by James Stone 30 Apr '16

30 Apr '16

I'd like to announce the publication of this book: Bayes' Rule With Python A Tutorial Introduction to Bayesian Analysis by JV Stone Reviews, synopsis, and table of contents can be found here: http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html regards, Dr James V Stone, Department of Psychology, University of Sheffield, UK.

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SSBSS 2016: Call for Oral Presentations/Posters: 9-13 July 2016, Volterra (Pisa) Tuscany, Italy - 3rd Int. Synthetic & Systems Biology Summer School - Early Application: May 26, 2016
by Giuseppe Nicosia 29 Apr '16

29 Apr '16

_________________________________________________________________________ Call for Participation (apologies for multiple copies) Please help forward it to other potentially interested attendees, thanks! _________________________________________________________________________ 3rd International Synthetic and Systems Biology Summer School - SSBSS 2016, 9-13 July 2016, Volterra (Pisa) - Tuscany, Italy ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ https://www.facebook.com/ssbss.school/ https://twitter.com/SchoolSsbss EARLY APPLICATION DEADLINE: May 26, 2016 http://www.taosciences.it/ssbss/#application-form The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Volterra Learning Center (Pisa - Tuscany, Italy) on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment. SSBSS 2016 DEADLINES: Early Application: May 26, 2016 Notification Acceptance: from April 2 to 28 May 2016 Late Application: from May 27, to July 4th 2016 Notification Acceptance: from May 28th 2016 according to registration time Early Short Talk/Poster Submission: May 26, 2016 Notification Acceptance: from 2 April to 28 May 2016 Late Short Talk/Poster Submission: from May 27, to July 4th 2016 Notification of Decision for Oral/Poster Presentation: from May 28, 2016 according to submission time http://www.taosciences.it/ssbss/#application-form FINAL LIST OF SPEAKERS * Yaakov (Kobi) Benenson, Synthetic Biology Group@Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland Lecture 1: The practice of mammalian synthetic biology Lecture 2: Mammalian cell classifiers * Leonidas Bleris, Bioengineering Department, The University of Texas at Dallas, USA Lecture 1: Genome Editing Technologies and Therapeutic Modalities Lecture 2: Benchmark Circuits and Topological Properties * Edoardo Boncinelli, Universita’ Vita-Salute San Raffaele, Milano, Italy Lecture: TBA * John Cumbers, Founder SynBioBeta, Mountain View, CA, USA Lecture: Synthetic Biology: new tools for an industry at an inflection point. * Domitilla Del Vecchio, Department of Mechanical Engineering, MIT, USA Lecture 1: Modularity in genetic circuits: Dream versus Reality Lecture 2: Engineering Modularity in Genetic Circuits * Diego Di Bernardo, Dept of Chemical Materials and Industrial Production Engineering University of Naples "Federico II", Naples, Italy Lecture 1: "Engineering and Control of Biological Circuits in Yeast" Lecture 2: "Engineering and Control of Biological Circuits in Mammalian Cells * Barbara Di Ventura, Synthetic Biology Group, BioQuant/DKFZ, Heidelberg, Germany Lecture 1: Using blue light to control protein localization in living mammalian cells Lecture 2: Using split inteins for protein engineering in living cells * Jonathan S. Gootenberg, Feng Zhang and Aviv Regev Groups, Department of Systems Biology, Harvard Medical School, Harvard University, USA Lecture 1: "Discovering and Characterizing CRISPR effectors" Lecture 2: "Probing Biology with CRISPR Screening" * Markus Herrgard, Technical University of Denmark - Biosustain, Novo Nordisk Foundation Center for Biosustainability, Denmark Lecture 1: "Developing an Integrated Cell Factory Design Tool" Lecture 2: "Using Automated Laboratory Evolution to Optimize Cell Factories” * Shalev Itzkovitz, Department of Molecular Cell Biology, Weizmann Institute of Science, Israel Lecture 1: "Single Molecule Approaches for Studying Gene Expression in Intact Mammalian Tissues" Lecture 2: "Systems Biology of Stem Cell-Maintained Tissues” * Francesco Ricci, Dipartimento di Scienze e Tecnologie Chimiche, University of Rome Tor Vergata, Rome, Italy Lecture 1: "DNA Nanotechnology Tools and Reactions for Synthetic Biology" Lecture 2: "Nature-inspired DNA-based Nanodevices Next Generation Sequencing Workshop – Afternoon July 12th, 2016 * “How fast can we align sequences?” Mario Guarracino, CNR, Italy * “Advanced Bioinformatics tools for NGS” – TBC Luca Zammataro, Yale University, USA Tutorials: * “Detection and analysis of contaminating sequences in NGS sequencing data” Ilaria Granata, CNR, Italy * “Detection and interpretation of circular RNAs in RNA-seq experiments” Parijat Tripathi, CNR, Italy SSBSS 2016 DIRECTORS Diego Di Bernardo, TeleThon Institute of Genetics & Medicine - TIGEM and University of Napoli "Federico II", Italy Giuseppe Nicosia, University of Catania, Italy Luca Zammataro, Yale University, USA MORE INFORMATION ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ https://www.facebook.com/ssbss.school/ https://twitter.com/SchoolSsbss Social event(s): social tour and dinner in Florence. Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2016. Together we will make SSBSS a great event! See you in Tuscany in July! More Info: ssbss.school(a)gmail.com <mailto:ssbss.school@gmail.com> http://www.taosciences.it/ssbss/ -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 3rd International Synthetic & Systems Biology Summer School - SSBSS 2016 * Biology meets Computer Science & Engineering * July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/ssbss/ ================================================================== 2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016 August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/mod/ ==================================================================

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Call for proposals to host the annual Computational Neuroscience (CNS) Meeting in 2018
by Tam, Nicoladie 29 Apr '16

29 Apr '16

Call for proposals to host the annual Computational Neuroscience (CNS) Meeting in 2018 The Organization for Computational Neurosciences (OCNS, http://www.cnsorg.org ) requests proposals from candidate local organizers to organize the CNS meeting in 2018 in a location outside of Europe, preferably in North or South America. Groups or individuals interested in organizing the CNS*2018 meeting should submit a proposal with consideration of the extensive on-line information ( http://www.cnsorg.org/cns-2018-local-organizer ) and using the on-line templates provided as a guide. The OCNS board members will select/discuss the different proposals, contact the potential local organizers for more information if necessary and come to a timely agreement between OCNS and potential local organizers. Proposals should be emailed to the OCNS president at president(a)cnsorg.org<mailto:president@cnsorg.org> no later than June 15th, 2016. Decisions are expected to be conveyed to potential organizers in July 2016. Astrid Prinz (OCNS President)

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Parallel Simulation with NEURON
by Ted Carnevale 28 Apr '16

28 Apr '16

A few seats remain available in the course Parallel Simulation with NEURON that we will be presenting at HHMI|Janelia Saturday, June 25 - Monday, June 27. This course is designed for users who already know how to write hoc or Python code for NEURON and now want to adapt existing models, or create new ones, that can be simulated on parallel hardware. Special attention will be paid to strategies for debugging, and measuring and improving performance. Registration is subject to approval by the course's faculty. The registration deadline is Friday, May 20, 2016. For more information and the online application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

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Fully funded PhD position, University of Genoa, Italy - "Visuo-haptic sensorimotor models"
by Silvio P. Sabatini 28 Apr '16

28 Apr '16

===================================================================== Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Italy. ===================================================================== The position will start on Nov 1st, 2016 on the following research project: ACTION-PERCEPTION TRANSFER IN VISUAL AND VISUO-HAPTIC BEHAVIOR _Deadline for Applications: June 10th, 2016_ Experiencing the sensory feedback gained from movements allows us to learn the contingencies and correlations between actions and sensory events. Accordingly, sensing "educates" motor action, but, conversely, and more elusively, motor practice can "educate" sensing. The proposed research aims at investigating the interplay between action and perception at different levels: (1) modelling early action-perception transfer in visual feature extraction (cf. neural coding of visual properties) and perceptual judgement processes (decoding stages); (2) experiments on bidirectional perceptual-action influence - including the development of systems and devices that integrate vision and haptics; (3) applications in neuromotor and cognitive rehabilitation, in which action is used to educate perception and perception is used to educate action. The project will provide the opportunity to work on neural modeling, visual and visuo-haptic psychophysics, and robotics. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. * HOW TO APPLY Candidates must have: - University degree at M.Sc. level (or expect to obtain it by October 31st, 2016) in Bioengineering, Computer Science, Physics, or related disciplines; - attitude for problem solving and interest in experimental work; - essential skills comprise Matlab and/or C/C++/C# or Python programming. Online application is possible till June 10th, 2016 (at noon) Italian time Full details on the call and the application procedure are available at: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ENG/ http://phd.dibris.unige.it/biorob/index.php/how-to-apply Prospective students, please contact: Silvio P. Sabatini (silvio.sabatini(a)unige.it) or Vittorio Sanguineti (vittorio.sanguineti(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. * WHERE The research will be conducted jointly at "The Physical Structure of Perception and Computation (PSPC) Lab", and the "Neuro-engineering and Neuro-robotics lab (NEUROLAB)", led by Silvio P. Sabatini and Vittorio Sanguineti, respectively. PSPC-Lab has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last years, the lab's research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. NEUROLAB (http://www.neurolab.dibris.unige.it/) focuses on experimental studies on neural control of movement, in normal and pathologic conditions. Recent activity aimed at investigating the computational basis of motor skill learning, and how this process can be facilitated by robots and other interactive technologies. Our labs are located in Genoa, a small beautiful town in northernItaly, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genoa is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Regards, -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

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PhD Studentships in Computational Neuroscience at the University of Hertfordshire
by Torben-Nielsen, Benjamin 28 Apr '16

28 Apr '16

We welcome applications for a funded PhD position in the Biocomputation Research Group at the University of Hertfordshire. The successful applicant will work on a project related to the detailed modelling of neuronal dynamics arising through dendritic processing and/or the analysis of morphological and circuit data. Potential projects in the fields of neuroinformatics and computational neuroscience include (but are not limited to): - Analysis of neuronal morphology and micro-circuitry. - Simulation of development of neuronal morphologies and tissues. - Simulation of dendritic processing on hardware. - Sensory processing and behaviour generation in individual invertebrate neurons. - Development of experimental robot controllers based on dendritic computation. - Structural plasticity at the single neuron and micro-circuitry level. More project ideas can be found here: http://www.dendrites.club/Positions.html The successful candidate will have extensive programming experience, preferably in Python (and/or other programming languages depending on the precise project). Depending on the project, experience with parallel programming (MPI, ZMQ), meshing software (VTK, CGAL, ITK, ...), or statistical analysis in R or Python are an advantage. In addition, we greatly value curiosity and a personal motivation to find out how things work. We collaborate closely with leading experimentalists and theoreticians all over the world, such as Prof. Adrian Moore (RIKEN, Japan), Prof. Erik De Schutter (OIST, Japan) and Dr. Marylka Uusisaari (Erasmus Medical Center Rotterdam, The Netherlands). The student will be based in the Biocomputation Group (biocomputation.herts.ac.uk) at the University of Hertfordshire and will be supervised by Drs. Ben Torben-Nielsen and Volker Steuber to whom informal enquiries can be sent. Successful candidates are eligible for a research studentship award from the University (approximately GBP 14,250 per annum bursary plus the payment of the student fees). Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 30 May 2016. Dr. Ben Torben-Nielsen Senior Lecturer (Assistant professor) Biocomputation Group University of Hertfordshire, UK

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PhD Position: NEUROPHYSIOLOGY and BEHAVIOUR
by Andrea Burgalossi 28 Apr '16

28 Apr '16

PhD Position: NEUROPHYSIOLOGY and BEHAVIOUR The lab of Andrea Burgalossi at the Werner Reichardt Centre for Integrative Neuroscience (CIN) in Tübingen is looking for PhD candidates in the field of Neurophysiology and Behaviour Research in our lab focuses on the cellular basis of behavior. We employ a combination of anatomical and electrophysiological techiques for studying how defined neural circuits contribute to sensory and high-level representations of the external world. Possible PhD projects will involve the use of state-of-the-art in vivo electrophysiology techiques, in combination with anatomical methods for neural circuit mapping (please see www.burgalossilab.com or contact Andrea Burgalossi for more details). Previous experience with electrophysiological methods is desirable, but not essential. Analytical and programming skills are a plus. Applications should contain a CV and names of at least two referees. Please send your application electronically to andrea.burgalossi(a)cin.uni-tuebingen.de. More info at http://burgalossilab.com/ http://www.cin.uni-tuebingen.de/ SELECTED PUBLICATIONS Burgalossi et al., Neuron (2011) 70:773-86 Tang et al, Nature Protocols (2014) 9:2369-81 Tang et al., Neuron (2014) 84:1191-7 Ray et al., Science (2014) 343:891-6 Diamantaki et al., Current Biology (2016) 26:536-41 -- Andrea Burgalossi, PhD Cellular and Synaptic Basis of Behaviour Werner Reichardt Centre for Integrative Neuroscience (CIN) Otfried-Müller-Straße 25 72076 Tübingen Tel: 0049-(0)7071 / 29 - 88797 Fax: +49-(0)7071 / 29-25006 Lab web: burgalossilab.com CIN web: http://www.cin.uni-tuebingen.de

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Fully funded PhD position, University of Birmingham, UK - Human movement
by Chris Miall 27 Apr '16

27 Apr '16

Please bring this fully-funded 3-year PhD studentship to the attention of your students: Title: Quantification of motor performance in patients with impaired upper limb movements Supervisors: Chris Miall and Joe Galea,  Place: School of Psychology, University of Birmingham, UK There is growing need for accurate quantification of performance in patients with impaired upper limb movements. This arises from the need to assess recovery of movement following neurosurgery and stroke and to underpin a stratified approach to rehabilitation. We have recently developed methods to assess upper limb movements in a 2D workspace, using the resulting “performance map” to guide stroke rehabilitation. We have also developed methods to link the patients’ performance to muscle activation patterns. We now want to extend this work into 3D, to allow assessment of a broader range of movements, closer to normal activities, and in a shorter period of assessment. In addition, we wish to extend from stroke to assessment of functional recovery after neurosurgery, as a prelude to testing enhancement of recovery with brain stimulation: this would include patients with surgical repair of traumatic injury (road traffic accidents). Finally, we aim to extend our methods to link performance to muscle activation patterns in these continuous movements, in order to better understand the underlying deficits in motor control. The project will make use of a state-of-the-art 3D robotic arm, and assess performance by developing a 3D tracking task, in which a subject’s motor ability is progressively expanded from an initial slow and central focus to regions needing more extended limb postures and faster movement. An assistive algorithm in which the force-controlled robot guides movement towards the target will be used to help patients overcome weak and unstable movement, while still allowing assessment of performance speed, direction and stability. Actions in the robot-assisted task will be compared with free movement tracking in a virtual reality environment, with limb movements captured by existing motion tracking systems, but this motion tracking will ultimately be possible with a device such as the Microsoft Wii or smartphone. The comparisons will inform the potential to translate the assessment from the lab based robotic systems to the bedside. The outcome will be a set of diagnostic tests that deliver accurate quantification of upper limb movement control, suitable for triage of rehabilitation and for assessment of progressive recovery. The project is suited for students with an excellent first degree in neuroscience, engineering, robotics, or computer science. Masters training would also be advantageous. Experience in programming (Matlab or C) would be very valuable, and an interest in working with patients is important. There is studentship funding available for three years from the EPSRC, for UK or EU students only. Please contact Chris Miall (r.c.miall(a)bham.ac.uk<mailto:r.c.miall@bham.ac.uk>) or Joe Galea (j.galea(a)bham.ac.uk<mailto:j.galea@bham.ac.uk>) for further information or use FindaPhD: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=74850 Deadline for application is 20-MAY-2016. ---------------------------------------------------------- Professor R.C. Miall Tel +44 (0)121 414 2867 School of Psychology, Fax +44 (0)121 414 4897 University of Birmingham, Mobile: +44 (0)7709 586997 Edgbaston, Email: r.c.miall(a)bham.ac.uk<mailto:r.c.miall@bham.ac.uk> Birmingham B15 2TT UK Web: http://prism.bham.ac.uk ----------------------------------------------------------

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PhD position in Neural Data Science / Retina
by Philipp Berens 27 Apr '16

27 Apr '16

The labs of Philipp Berens (www.berenslab.org) and Thomas Euler (www.eulerlab.de) at the Center for Integrative Neuroscience (CIN) at the Eberhard-Karls-University of Tübingen are offering a PhD position (TV-L E13 65%) to be filled as soon as possible, with funding for 3 years. The successful candidate will combine experimental and computational approaches to study *neuronal cell type specific computations* in the mouse *retina*. The goal of the project is to provide an account of how the functional response properties of selected ganglion cell types arise from their anatomical structure, connectivity and dendritic integration properties. We envision a highly interdisciplinary project, where the successful candidate will perform state-of-the-art optical imaging and electrophysiological recordings and use computational approaches to analyze their data. The CIN offers a stimulating interdisciplinary scientific environment where research is carried out at all levels of neuroscience. The two labs are also part of the Institute for Ophthalmic Research (Eye Hospital Tübingen) and affiliated with the Bernstein Centre for Computational Neuroscience (BCCN). Furthermore, the project will be performed in collaboration with the lab of Tom Baden at the University of Sussex, UK (www.badenlab.org) We offer employment with a salary and social benefits based on the collective agreement for public service employees in the academic and science sector, TV-L. The Eberhard-Karls-University of Tübingen promotes gender equality and therefore particularly encourages female scientists to apply. Preferential status will be given to handicapped persons, if equally qualified. Requirements: • Background in statistics, machine learning and data analysis • Experience with electrophysiology and/or two-photon imaging or a strong desire to learn these techniques • Programming experience in Python, Matlab, R or similar • Strong quantitative skills Interested applicants should contact Dr. Philipp Berens (philipp.berens(a)uni-tuebingen.de) providing: • a curriculum vitae • a one-page description of past research experience & future research interests • a one-page description of the motivation for applying to this position • names of at least two people that could provide letters of reference Please compile your application in one single PDF-file. -- University of Tübingen http://philippberens.wordpress.com http://www.bethgelab.org

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