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Postdoc position in Amsterdam - http://herseninstituut.nl/en/about-us/vacancies/postdoctoral-researcher/
by Ingo Willuhn Nov. 14, 2016

Nov. 14, 2016

A postdoctoral position in the Willuhn/Denys lab at the Netherlands Institute for Neuroscience (NIN) in Amsterdam is available immediately. I am looking for somebody that comes from a computational angle and is analysis-savvy. The candidate should be interested in studying cortico-basal ganglia function (reward learning; behavioral flexibility; compulsivity due to dysfunction) with cutting-edge tools in behaving rats. Our team has a lot to offer and can teach the basic neuroscience-related skills to candidates inexperienced in that area: The pre-clinical group headed by Ingo Willuhn studies both the neurobiology of compulsive behavior and basic behavioral functions contributing to automation of behavior (http://herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/) The team has close ties to clinical researchers studying such behaviors at the Department of Psychiatry of the Academic Medical Center (AMC; chaired by Damiaan Denys), providing optimal conditions for a translational, multidisciplinary approach. Current research in the lab includes rodent models of obsessive-compulsive disorder and drug addiction, but also aims at understanding basic behavioral function of cortico-basal ganglia circuits. Behavioral assays testing cognitive flexibility, emotion, and decision making in mice and rats are combined with simultaneous methods for neurostimulation (DBS, optogenetics, pharmacogenetics), neurochemical measurements (microdialysis, fast-scan cyclic voltammetry), electrophysiological recordings (single units, local field potentials), and fMRI. The latest addition to this tool set is in vivo calcium imaging in freely-moving animals. The primary focus of the successful applicant will be to investigate real-time neurobiological signals in the basal ganglia during operant behavior using in vivo fast-scan cyclic voltammetry and in vivo calcium imaging in freely-behaving transgenic rats. The goal of these studies is to better characterize neuronal mechanisms of cognitive flexibility and habit formation, and eventually compulsive behavior. The ideal candidate has a strong background in the analysis and modeling of complex data and is an expert in using Matlab and/or similar software packages (necessary). Experience in neuroeconomics, calcium imaging, or rodent behavioral testing in neuroscience is a bonus, but not necessary. Candidates should be enthusiastic, have excellent oral and written communication skills in English, and should be motivated to integrate well into a fun, creative, and collaborative team of international scientists that offers opportunities to cooperate with some of the best groups in the field worldwide. The fully funded position is for a period of four years (1 + 3 years), including competitive salary and excellent benefits. Highly motivated candidates are encouraged to contact Ingo Willuhn (i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl>). Your email should contain a CV, brief descriptions of past research experience, future research goals, and contact info for at least two people that could provide letters of reference. The Netherlands Institute for Neuroscience (NIN) is a not-for-profit subsidiary of the prestigious Royal Netherlands Academy of Arts and Sciences (KNAW), located in the South of beautiful Amsterdam, just a short train ride from the inner city. The institute’s operating language is English, as it is for many Amsterdam organizations. The NIN collaborates with the AMC Department of Psychiatry, part of the University of Amsterdam, conducting neurobiological and patient-centered research on compulsivity, anxiety, depression, psychosis, and addiction. The department aims at developing a better understanding of neuropsychopathology and at improving treatment options. Best, Ingo ----- Ingo Willuhn, PhD Group Leader & Associate Professor Team 'Neuromodulation and Behavior' Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW) & Department of Psychiatry, Academic Medical Center (AMC), University of Amsterdam (UvA) Meibergdreef 47 1105BA Amsterdam The Netherlands i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl> tel (31) 20 5665491 www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/<http://www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/> www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Research.htm?p…<http://www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Researc…>

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PhD position in computational neuroscience / neuro-robotics
by Claudius Gros Nov. 14, 2016

Nov. 14, 2016

I would like to bring your attention to our PhD-program in Computational Neurosciences / Neuro-Robotics / Dynamical Systems At the Institute for Theoretical Physics, Goethe University Frankfurt Field(s): complex systems theory, computational neurosciences neural models and networks, dynamical systems Application deadline: January 7, 2017 Supervisor: Prof. Dr. Claudius Gros E-mail: cgr(a)itp.uni-frankfurt.de Address: Institute for Theoretical Physics, Goethe University Frankfurt, Project description: Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University. We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals, attractor metadynamics, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including studies of the autonomous brain dynamics and/or studies of new synaptic plasticity rules, like trace formulations of STDP and the interplay between short term synaptic plasticity and neural dynamics. The work will include analytical investigations and numerical simulations of neural models and neural networks, using the toolset of dynamical systems theory. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointments will start early 2017, for up to three years. Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below. Prof. Dr. C. Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str. 1 60438 Frankfurt am Main Germany cgr(a)itp.uni-frankfurt.de http://itp.uni-frankfurt.de/~gros -------------------------------------- General information on the University of Frankfurt and its employment policy. With its around 46000 students and 4600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy. The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law (Wissenschaftszeitvertragsgesetz) and the Hessian Higher Education Act (Hessisches Hochschulgesetz). The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. ***************************************** *** Prof. Dr. Claudius Gros *** *** +49 (0)69 798 47818 *** *** http://itp.uni-frankfurt.de/~gros *** ***************************************** ----------------------------------------------------------- --- Complex and Adaptive Dynamical Systems, A Primer --- --- A graduate-level textbook, Springer (2008/10/13/15) --- -----------------------------------------------------------

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PhD position, Neurocomputational Linguistics, Uni Bham / Google Research London
by Uta Noppeney Nov. 13, 2016

Nov. 13, 2016

*PhD position in Neurocomputational Linguistics* *University of Birmingham in collaboration with Google Research London* Language comprehension is critical for effective interactions in our social world. In order to understand ‘who does what to whom’ in natural language processing, the brain needs to assign a syntactic structure to every sentence – a process coined ‘syntactic parsing’. This interdisciplinary project will combine expertise from human neuroscience (University of Birmingham) and computational linguistics (Google Research London) to determine the neural mechanisms underlying sentence comprehension in the human brain and advance parsing algorithms in machines. To study natural language processing and the underlying neural mechanisms in humans, we will measure eye movements, behavioural (psychophysics) and electrophysiological responses (EEG/fMRI) in participants reading natural sentences from syntactically annotated corpora. We will employ advanced machine learning algorithms to characterize the computational operations and neural mechanisms underlying syntactic processing in the human brain. Conversely, the insights obtained from human neuroimaging (EEG/fMRI) and eye tracking will provide critical constraints on the parameters and algorithms used in machine. The PhD position is designed to involve a 3 month internship at Google Research London. The Computational Cognitive Neuroimaging Group (Uta Noppeney) in collaboration with Google Research London (Bernd Bohnet, Ryan McDonald) is seeking an enthusiastic PhD candidate with strong analytical and quantitative abilities. Applicants should have a background in computational linguistics, neuroscience, computer science, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage. The Computational Cognitive Neuroimaging Lab is based at the Department of Psychology and the Computational Neuroscience and Cognitive Robotics Centre of the University of Birmingham, UK. The centre provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 5th in the UK research assessment exercise. http://www.birmingham.ac.uk/schools/psychology/research/labs/comp-cog-neuro… http://www.birmingham.ac.uk/research/activity/cncr/index.aspx Applications will be considered until 8th January 2017. The starting date is Sept/Oct 2017. iCASE students must fulfil the MIBTP entry requirements and will join the MIBTP cohort for the taught modules and masterclasses during the first term. They will remain as an integral part of the MIBTP cohort and take part in the core networking activities and transferable skills training. For further information, please contact u.noppeney(a)bham.ac.uk <mailto:u.noppeney@bham.ac.uk>. Check eligibility and apply here: https://www2.warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/ap… <https://www.findaphd.com/common/clickCount.aspx?theid=79324&type=184&DID=14…>

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Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland The lab of Prof. Christoph Michel at the University of Geneva is offering a postdoctoral position financed by the Swiss National Science Foundation for up to three years to work on clinical neuroengineering projects aimed at: 1. Restoring communication and independence of people with tetraplegia and locked-in syndrome. 2. Advance the analysis of scalp and intracranial EEG signals with functional connectivity tools and implement them in brain-computer interfaces. The position will be equally shared between Dr. Tomislav Milekovic and Prof. Christoph Michel. With Dr. Milekovic, the postdoc will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order restore independence of people with locked-in syndrome. With Prof. Michel, the postdoc will use invasive and non-invasive brain recordings to study functional connectivity between brain areas in healthy volunteers and people with a range of neurological disorders. He will use the gained knowledge to improve brain-computer interfaces and closed-loop neurofeedback systems. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (EEG, ECoG, LFP, spikes) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoders The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world. Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to tomislav.milekovic(a)epfl.ch.

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Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland The group of Dr. Milekovic at the University of Geneva is offering a postdoctoral position financed by the Parkinson Schweiz foundation for up to two years to take a lead role on a neuroprosthetics project aimed at alleviating gait deficits of Parkinson's disease. The postdoc will be involved in all stages of the project, including the analysis of intracortical neural signals, development of movement decoding algorithms and the development of a brain-spine interface system aimed to alleviate the Parkinson's disease motor deficits through brain-controlled spinal cord stimulation. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (spikes, LFP, ECoG, EEG) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoding algorithms 6. Experience in implanting intracortical microelectrode arrays in non-human primates 7. Experience in working with non-human primates The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will closely collaborate with the groups of Profs. Gregoire Courtine, Stephanie Lacour and Silvestro Micera of EPFL, and enjoy a strong support of Lausanne University Hospital (CHUV) surgeons, led by Dr. Jocelyne Bloch. Furthermore, he stands to benefit from the unique working environment of the newly founded Campus Biotech in Geneva, which houses the basic and clinical neuroscientists of the University of Geneva, translational researchers of EPFL's Center for Neuroprosthetics, and the regulatory and engineering experts of the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities and is one of the leading technical universities worldwide. In addition, University of Geneva offers highly competitive postdoctoral salaries ranking amongst the highest in the world. Situated in Switzerland on the coast of lake Leman and surrounded by pristine mountains famous for both summer and winter sports, Geneva prides itself as a pleasant and safe living and working environment. Applications including a CV, statement of research interests, and two reference letters should be sent to <mailto:tomislav.milekovic@epfl.ch> tomislav.milekovic(a)epfl.ch.

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Neuroengineering postdoctoral fellowships at the University of Washington
by Alison S. Mehravari Nov. 10, 2016

Nov. 10, 2016

We invite applications for the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships are offered through the UW Institute for Neuroengineering (UWIN), which links advances in biology, computing, devices, data science, and computational neuroscience to solve some of today's greatest scientific challenges about neural system function. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines is strongly encouraged. The fellowships provide two years of funding including a $65,000 annual salary and a $25,000 research stipend. Applications are due by January 16, 2017. Please see http://uwin.washington.edu/post-docs/ for more information. ------------------------- Alison Mehravari, Ph.D. Assistant Director of Operations University of Washington Institute for Neuroengineering Air Force Center of Excellence: Nature Inspired Flight Technologies and Ideas Daniel Lab, Department of Biology University of Washington Box 351800, Seattle, WA 98195 amehrava(a)uw.edu<mailto:amehrava@uw.edu>, 206-543-7335

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PhD position in the Blue Brain Project, Ecole Polytechnique Federale de Lausanne (EPFL)
by Ramaswamy Srikanth Nov. 10, 2016

Nov. 10, 2016

----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Digital Reconstruction of Cholinergic Neuromodulation of Neocortical Microcircuitry Supervisors: Dr. Srikanth Ramaswamy, Prof. Henry Markram Keywords: Neocortex, microcircuits, simulation, neuromodulation, acetylcholine, dendrites, synaptic transmission, network activity Project description: Neuromodulators are chemical messengers - hormones, neuropeptides, and neurotransmitters - that diffusely target neurons and synapses in specific brain regions. Distinct groups of neurons located in subcortical areas release neuromodulators such as acetylcholine (ACh), noradrenaline, serotonin, dopamine, and histamine. These neuromodulators directly control information processing in neocortical microcircuits by modulating shifts between activity states such as sleep and wakefulness, or distraction and attention. Neuromodulators are also directly implicated in a spectrum of debilitating disorders such as migraine, schizophrenia, Alzheimer’s and Parkinson’s disease. Yet, despite their crucial role in physiology and pathology, we lack a detailed understanding of the way they regulate the function of dendrites, synapses, neurons, and network activity in neocortical microcircuitry. The objective of the proposed PhD project will be to devise, implement and study biophysical models of ACh neuromodulation of neocortical microcircuitry. The project will leverage the Blue Brain Project’s data-driven digital reconstruction of neocortical microcircuitry1, 2, and augment it with biophysical models of the anatomy and physiology of ACh neuromodulation of somatosensory cortex. Specifically, the project will implement and constrain cellular and synaptic models of ACh neuromodulation and study its regulation of cortical activity states. The project requires active collaboration with the Laboratory of Neural Microcircuitry (LNMC), EPFL to design neurophysiological experiments in thenrodent somatosensory syetem and integrate relevant data into the digital reconstruction. Significant computing resources on a large high performance computing system will be made available for this project. 1. Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M.* et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495. * Co-first author. 2. Ramaswamy S.*, Courcol J-D.*, Abdellah M., Adaszewski S.R., Antille N. et al. (2015). The Neocortical Microcircuit Collaboration Portal: A Resource for Rat Somatosensory Cortex. Front. Neural Circuits 9:44. *Co-first author. Key collaborators: Dr. Rodrigo Perin (EPFL-LNMC), Ms. Ayah Khubieh (EPFL-LNMC), Dr. Eilif Muller (EPFL-BBP), Dr. Fabien Delalondre (EPFL-BBP), Prof. Felix Schürmann (EPFL-BBP), and Prof. Idan Segev (Hebrew University, Jerusalem). This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Srikanth Ramaswamy <srikanth.ramaswamy(a)epfl.ch<mailto:srikanth.ramaswamy@epfl.ch>> ------------- Dr. Srikanth Ramaswamy EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: https://people.epfl.ch/srikanth.ramaswamy

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Simons-Berkeley Research Fellowship - Call for Applications
by Bruno Olshausen Nov. 10, 2016

Nov. 10, 2016

Simons-Berkeley Research Fellowship -- Call for applications In Spring 2018 the Simons Institute for the Theory of Computing will hold a semester-long program on Brain and Computation, see https://simons.berkeley.edu/programs/brain2018 The Institute invites applications for Simons-Berkeley Research Fellowships in connection this program. Simons-Berkeley Research Fellowships are intended for exceptional young scientists (within at most six years of the award of their PhD at the start of 2017-18 academic year). Applicants who already hold junior faculty or postdoctoral positions are welcome to apply. In particular, applicants who hold, or expect to hold, postdoctoral appointments at other institutions are encouraged to apply to spend one semester as a Simons-Berkeley Fellow subject to the approval of the postdoctoral institution. The Institute expects to award about 30 Fellowships in 2017-18; the majority of these are for one semester, but several appointments for a full academic year are expected to be made. In each semester of residence each Fellow will normally participate in at least one of the ongoing programs at the Institute. The Simons Institute for the Theory of Computing is a major international venue for collaborative research in theoretical computer science and related fields. The Institute is housed on the UC Berkeley campus, and provides a vibrant and welcoming environment for visiting researchers. In each academic semester the activities of the Institute are largely focused on specific research programs, each of which attracts around sixty long-term participants ranging from senior scientists to graduate students. Salaries and benefits are competitive and assistance with visas and housing will be provided. The Institute particularly encourages applications from women and minority candidates. For more on the Simons Institute and application instructions for the Simons-Berkeley Research Fellowships, please see https://simons.berkeley.edu/fellows2017 The deadline for receipt of complete application materials (except letters) is December 15, 2016. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute & School of Optometry Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/bruno

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Neural Processing Letters: 2nd CFP for the Special Issue on "Off the mainstream: advances in neural networks and machine learning for pattern recognition"
by Friedhelm Schwenker Nov. 9, 2016

Nov. 9, 2016

2nd Call for Papers Special issue on Off the mainstream: advances in neural networks and machine learning for pattern recognition to be published in Neural Processing Letters *** Submission deadline: January 31, 2017 *** Guest editors: Edmondo Trentin, University of Siena, Italy (trentin(a)dii.unisi.it) Friedhelm Schwenker, University of Ulm, Germany (friedhelm.schwenker(a)uni-ulm.de) Nemat El Gayar, Cairo University, Egypt (elgayar.neamat(a)gmail.com) Hazem M. Abbas, Ain Shams University, Egypt (hazem.abbas(a)eng.asu.edu.eg) Aims and scope of the special issue: "Mainstream science is about publishing what everyone else is publishing with very small changes. You'd better at least start off that way if you want to get tenure," the sociologist Rodney Stark said. But "big ideas don't come to those who avoid risk", as John Bohannon added. The area of artificial neural networks (ANN) and machine learning (ML) makes no exception to these ends: Mainstream topics, originally stemming from exciting breakthroughs (the "big ideas") that gradually become trends and end-up being mostly over-beaten publishing tracks, have characterized the scientific literature throughout the whole history of these research fields. A few, widely known instances of such (more or less recent) mainstream trends are: - Supervised support vector machine training (in both primal and dual) - Supervised multilayer perceptron training via regular backpropagation - Radial basis functions networks - Bayesian networks (either shallow or deep) - Deep feed-forward and convolutional neural networks - Countless applications of the aforementioned machineries - The “approximation capabilities” of such machineries Based on these premises, this special issue invites paper submissions on real novel research developments in the areas of neural networks and learning machines that (1) are rooted in (or, aimed at) pattern recognition (PR), and that, above all, (2) do not follow in the footsteps of nowadays established trends. Preference (over applications, theoretical analysis, and variants of established techniques) will thus be given to submissions that hand out fresh and innovative ideas/architectures/algorithms, even if they are in their infancy (e.g., possibly lacking of a complete investigation of their theoretical properties). A detailed list of topics of interest would contradict the very perspective of the present special issue. Nonetheless, some general, topical research directions are (to name a few): - New ANN or ML architectures - New ANN, ML, or PR algorithms - New estimation/optimization/assessment techniques for ANNs, ML, or PR - New and sound combination/hybridization of machines - Solutions to new, relevant PR-related problems - New and sound solutions to established PR-related problems If you are not sure on whether your manuscripts matches the aims and scope of this special issue or not, do not hesitate to get in touch with the guest editors at any time. The special issue will comprise (a) papers submitted in response to this call, and (b) extended versions of selected papers from the ANNPR 2016 Workshop (https://neuro.informatik.uni-ulm.de/ANNPR2016/) sponsored by the International Association for Pattern Recognition. Paper submission: Papers must be submitted online via the Neural Processing Letters website (https://www.editorialmanager.com/nepl/default.aspx) selecting the choice that indicates this special issue (identifier: S.I.:Off_mainstream). Prepare your paper following the Journal guidelines for Authors (http://www.springer.com/computer/ai/journal/11063?detailsPage=pltci_1060677) All submitted papers will undergo a regular peer-review process. Important dates: Opening of electronic submission: September 1, 2016 Submission deadline: January 31, 2017 Completion of 1st round of review process: March 31, 2017 Re-submission of revised manuscripts: May 15, 2017 Final decision: June 30, 2017 Tentative publication of the Special Issue: Fall 2017 -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Video course on understanding higher cognition in terms of brain anatomy and physiology
by Andrew Coward Nov. 7, 2016

Nov. 7, 2016

A 29 lecture video course on approaches to understanding cognitive processes in terms of brain anatomy and physiology is now available at www.understandinghighercognition.com<http://www.understandinghighercognition.com> The lectures are based on a course given to third year and graduate students in computer science, psychology and neuroscience at the Australian National University in Canberra and also at Simon Fraser University in Vancouver, Canada. Topics covered include: - The nature of understanding: lessons from the computer science approach to understanding complex systems - Major cognitive phenomena: attention; different types of memory; speech and consciousness - Key topics in brain anatomy, physiology and chemistry - Practical pressures on brain architecture exerted by natural selection: resource limits, learning without interference with prior learning, etc; - Architectural forms resulting from the practical pressures - Evidence for the existence of the predicted architectural forms in the brain; how to use the forms to support understanding - Understanding attention and different types of memory: semantic, episodic, priming, working and procedural memory - Understanding specific cognitive tasks - Understanding human consciousness and self awareness. Each lecture is divided into 5 - 10 minute topic videos. Lecture format is mainly images and graphics supported by verbal explanations. Textbook for the course is "Towards a Theoretical Neuroscience: from Cell Chemistry to Cognition<http://www.springer.com/us/book/9789400771062>" <http://www.springer.com/us/book/9789400771062> published by Springer. Access to the lectures is free.

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