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<!DOCTYPE html>
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<title>Computational Neuroscience Journal Club at Princeton
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<h2>Upcoming
/ Suggested papers
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<p>Feel free to email paper suggestions to Ben
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<h2 class="entry-title">Paper Suggestions
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<ol>
<!-- ========================================== -->
<li><A HREF="https://arxiv.org/abs/1705.08026">Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules</A>.<br>Alemi, Machens, Deneve & Slotine <i>arxiv</i> (2017). <br>
<!-- ========================================== -->
<li><A HREF="http://www.biorxiv.org/content/biorxiv/early/2017/08/24/180125.full.pdf">A unifying motif for spatial and directional surround suppression</A>.<br>Liu, Miller & Pack <i>biorxiv</i> (2017). <br>
<!-- ========================================== -->
<li><A HREF="https://doi.org/10.1371/journal.pcbi.1005645">Neuron’s eye view: Inferring features of complex stimuli from neural responses</A>.<br>Chen, Beck & Pearson <i>PLOS Computational Biology</i> (2017). <br>
<!-- ========================================== -->
<li><A HREF="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005070">Nonlinear hebbian learning as a unifying principle in receptive field formation</A>.<br>Brito & Gerstner <i>PLOS Computational Biology</i> (2016). <br>
<!-- ========================================== -->
<li><A HREF="http://www.cell.com/cell-reports/abstract/S2211-1247(16)31198-6?_returnURL=http://linkinghub.elsevier.com/retrieve/pii/S2211124716311986%3Fshowall%3Dtrue">Adaptation without plasticity</A>.<br> del Mar Quiroga, Morris & Krekelberg <i>Cell</i> (2016). <br>
<!-- ========================================== -->
<li> <A HREF="http://science.sciencemag.org/content/290/5500/2319.full">A Global Geometric Framework for Nonlinear Dimensionality Reduction</A>. <br> Tenenbaum, de Silva & Langford. <i>Science</i> (2000). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.nature.com/neuro/journal/v18/n12/full/nn.4153.html">Distinct recurrent versus afferent dynamics in cortical visual processing</A>. <br> Reinhold, Lien, & Scanziani, <i>Nat Neurosci</i> (2015). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.sciencedirect.com/science/article/pii/S0896627315002019">Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program</A>.<br> Bruno, Frost & Humphries,<i>Neuron</i> (2015). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.sciencedirect.com/science/article/pii/S0896627313005278">Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells</A>.<br> Kastner & Baccus, <i>Neuron</i>, (2013). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.jneurosci.org/content/31/43/15310">Marginalization in neural circuits with divisive normalization</A>.<br> Beck, Latham & Pouget <i>J. Neuroscience</i>, (2011). <br>
<!-- ========================================== -->
<li> <A HREF="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005355">Computational account of spontaneous activity as a signature of predictive coding</A>.<br> Koran & Deneve, <i>PLOS Comp. Bio.</i>, (2017). <br>
<!-- ========================================== -->
<li> <A HREF="https://papers.nips.cc/paper/4814-learning-visual-motion-in-recurrent-neural-networks.pdf">Visual motion computation in recurrent neural networks</A>.<br> Pachitariu & Sahani <i>NIPS</i>, (2017). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.cell.com/neuron/fulltext/S0896-6273(17)30185-X">Computing by robust transience: How the fronto-parietal network performs sequential, category-based decisions</A>.<br> Chaisangmongkon, Swaminathan, Freedman & Wang, <i>Neuron</i>, (2017). <br>
<!-- ========================================== -->
<li> <A HREF="http://www.sciencedirect.com/science/article/pii/S0896627313005576">A modeling framework for deriving the structural and functional architecture of a short-term memory microcircuit</A>.<br> Fisher et al., <i>Neuron</i>, (1997). <br>
<!-- ==========================================
<li> <A HREF=""></A>.<br> , <i></i>, (1997).-->
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