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<p class="MsoNoSpacing" align="center" style="text-align:center"><b><span style="font-size:14.0pt">NCPW15 – August 8-9, 2016 – Philadelphia, PA, USA</span></b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><a href="https://sites.google.com/site/ncpw15/"><b><span style="font-size:14.0pt">15<sup>th</sup> Neural Computation and Psychology Workshop</span></b></a><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b><span style="font-size:14.0pt"> </span></b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b><span style="font-size:16.0pt">Contemporary Neural Network Models:
<br>
Machine Learning, Artificial Intelligence, and Cognition</span></b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><span style="font-size:12.0pt"> </span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><span style="font-size:12.0pt">Funded by the W. K. & K. W. Estes Fund, Google DeepMind<br>
and the Rumelhart Emergent Cognitive Functions Fund</span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><span style="font-size:14.0pt"> </span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b>Organizers</b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><br>
<span style="font-size:12.0pt">Jay McClelland, Stefan Frank & Daniel Mirman</span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"> <o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b>Confirmed Plenary Speakers</b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><span style="font-size:12.0pt">Nikolaus Kriegeskorte, Timothy Lillicrap, Andrew Saxe,<br>
Linda Smith, Greg Wayne, & Marco Zorzi </span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><span style="font-size:12.0pt"> </span><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><i><span style="font-size:12.0pt">Abstracts and Applications to Attend Due:
<b>April 1</b><br>
Notification of Acceptance and Travel Awards: <b>May 1</b></span></i><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing" align="center" style="text-align:center"><b>Overview</b><o:p></o:p></p>
<p class="MsoNoSpacing"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing">We are pleased to announce a workshop on <b><i>Contemporary Neural Network Models</i></b>, bringing the latest developments in Deep Neural Networks, Deep Reinforcement Learning Networks, and Recurrent Neural Networks with Long-Short-Term
Memory Units into contact with contemporary cognitive science and cognitive neuroscience research. Plenary speakers include established and emerging experts in the development of contemporary neural network methods, and include authors of recent papers from
Google DeepMind’s achievements in achieving human-level performance in games from Atari action games to Go and in creating innovative architectures such as the Neural Turing Machine. The workshop will continue the Neural Computation and Psychology Workshop
series, which originated in the UK in 1992. It will take place on Aug 8-9, 2016 in Philadelphia – in North America for the first time after 14 previous meetings in Europe.<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b><i>The Workshop has both a research dissemination and tutorial purpose</i></b>. Research submissions are welcome for spoken and poster presentations in any area of computational research that applies neural network models or related
approaches to understanding human cognition. Both junior and senior scientists interested in learning more about the latest developments are encouraged to attend (space is limited and application is required) with or without making a presentation. Thanks
to generous support, costs will be low and travel awards will encourage participation by a diverse population of participants with relevant goals. The
<a href="https://sites.google.com/site/ncpw15/">conference website</a> provides full details and instructions for those interested in participating. Abstract submissions and applications to attend are due April 1 and applicants will be notified of acceptance
and travel awards by May 1.<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing">NCPW15 will be complemented by a separate day-long tutorial on Wednesday, August 10, as part of the Cognitive Science Society meeting also in Philadelphia (pending acceptance by the Program Committee). This day-long event will provide
additional tutorial presentations, followed by in depth how-to sessions associated with the actual implementation and effective practical mastery of deep learning networks for cognitive science research.<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Workshop Program Overview</b><o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing">Each of the two days of the NCPW workshop will include three 75 minute sessions led by invited speakers (schedule attached). The first five of these sessions will each focus on a different aspect or topic in contemporary neural network
research, and each will be led by a different expert. The final session will begin with a commentary led by a senior Cognitive Scientist (Linda Smith) followed by a panel discussion with the other five speakers. During lunch each day, the day’s speakers
will each hold a smaller discussion session with a subset of the workshop participants, to allow in-depth discussion of their approach and perspective. Published papers or lecture notes will be circulated in advance to enhance participants’ background and
engagement for these discussions. Two 1.5-hour sessions each day will be devoted to submitted presentations selected for their scientific value and the extent to which they advance the use of neural network architectures, tools, and concepts in both computational
and cognitive (neuro)science domains. A poster session at the end of the first day will allow all of the participants an opportunity to present and obtain feedback from the invited speakers, and to learn from and network with each other. A conference dinner
on the first evening and a reception on the second evening will allow for informal interactions.
<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Invited speakers</b><o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Nikolaus Kriegeskorte</b>, MRC-CBU Cambridge, UK. Kriegeskorte has applied a deep convolutional neural network architecture to model human voxel-level activity patterns in different layers of visual cortex.
<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Marco Zorzi</b>, University of Padova. Zorzi has applied deep networks to modeling human numerosity judgment and reading and has developed tools for efficient implementation of these models.<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Andrew Saxe</b>, Harvard University. Saxe has conducted mathematical analyses of deep neural network architectures leading to a conceptual understanding of the role of unsupervised pre-training and has applied these methods to the
time course of cognitive and semantic development.<o:p></o:p></p>
<p class="MsoNoSpacing"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing"><b>Greg Wayne</b>, Google DeepMind. Wayne is one of the creators of the Neural Turing Machine, a Deep Learning Model that relies on the Long-Short-Term Memory mechanism for the storage and retrieval of information in memory, integrating
symbolic and neural network computation.<o:p></o:p></p>
<p class="MsoNoSpacing"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing"><b>Timothy Lillicrap</b>, Google DeepMind. Lillicrap is a leader in the development of Deep Reinforcement Learning methods and a co-author of the recent nature paper describing an integrated neural network/tree search approach that
has achieved human expert level performance at Go.<o:p></o:p></p>
<p class="MsoNoSpacing"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing"><b>Linda Smith</b>, Indiana University. Smith is a thought-leader in the development of dynamical systems models an in the application of such models in cognitive development.
<o:p></o:p></p>
<p class="MsoNoSpacing"><b> </b><o:p></o:p></p>
<p class="MsoNoSpacing"><b>Participants, Travel Awards, and Costs<o:p></o:p></b></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing">The target population is PhD students, post-doctoral fellows, and more advanced researchers at any level. Both contributing researchers and non-presenting attendees are welcome to apply. Contributing researchers will be selected based
on a submitted research abstract, according to past policies of NCPW. Selection of non-presenting attendees will be based on the
<i>relevance</i> of the workshop to the attendee’s goals as described in a short essay as well as a CV and, for junior scientist, a mentor’s letter of support. Both trainees and contributing researchers not selected for oral presentations have the option to
present a poster in the poster session. A total of 25 travel support awards ($250 domestic/$750 international) are available both for trainees and for contributing researchers to partially defray costs of attendance; support will be awarded based on the criteria
above as well as need with attention to encouraging diversity. There is no registration fee for accepted participants, and lunch on both days of the workshop will be covered for trainees and contributing researchers. A low-price accommodation option ($50/night)
will be available.<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing">Additional travel information is available on the CogSci2016 page: http://cognitivesciencesociety.org/conference2016/travelinfo.html<o:p></o:p></p>
<p class="MsoNoSpacing"> <o:p></o:p></p>
<p class="MsoNoSpacing"><b>Application Process: </b>More detailed information on the application process and the venue are available at the
<a href="https://sites.google.com/site/ncpw15/">conference website</a>. The deadline for paper and poster submissions and for applications to attend will be April 1, 2016, and notification of acceptance and travel awards for trainees and participating researchers
will be on May 1, 2016.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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