3 papers I proposed

[ErbB4]

Hi guys, Here are the papers I proposed to present in our ANN-CompNeu Reading Club.

1. Is cortical network optimized for storing information? a close look at recurrent network in the brain. nn.4286.pdf
2. redundant network hypothesis for information representation in primary motor cortex. 2007-Motor_learning_with_unstable_neural_representations..pdf
3. Tempotron hypothesis (temporal-spatial coding) for information encoding in primary sensory cortex. nn1643.pdf

[emptymalei]

我提议的：

1. Papadopoulos et al. - 2012 - Popularity versus similarity in growing networks(2).pdf
   (Supplementary Information: Papadopoulos et al. - 2012 - Popularity versus similarity in growing networks.pdf ): This paper talks about two significant factors of a network, and introduces the concept of similarity by mapping a network onto hyperbolic geometry.
2. Watts, Strogatz - 1998 - Collective dynamics of 'small-world' networks.pdf: A paper about how small world network can have emergent phenomenon.
3. Cremers, Herz - 2002 - Traveling waves of excitation in neural field models equivalence of rate descriptions and integrate-and-fire dyna.pdf: traveling waves in neural networks. This is important because traveling waves means we have enhanced signal propagation in the network without very much damping.

[skyworlds]

3 papers:

1. 2004-Computing the meanings of words in reading cooperative division of labor between visual and phonological processes : This paper is the first one investigating interactions between phonological, orthographic, and semantic representations in a neural network in order to explain human reading development. Although the model seems too simple and quite weak, it inspires intensive discussion and debates in reading research.
2. 2001-DRC A Dual Route Cascaded model of visual word recognition and reading aloud : A powerful competitor to the triangle model of reading. It is argued that the idea of rule-based symbolism is enough to explain cognitive processing of reading and the philosophy of connectionism behind neural networks is wrong.
3. 2010-Beyond single syllables Large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model : This model deemphasizes theoretical disputes and integrates the triangle model of reading and DRC.

[liuyuue]

1. http://www.pnas.org/content/110/31/12828.full.pdf?with-ds=yes --- A network model that can function as working memory under oscillatory inputs.
2. http://ruccs.rutgers.edu/images/personal-zenon-pylyshyn/proseminars/Proseminar13/ConnectionistArchitecture.pdf --- A critique about what connectionist networks cannot do.
3. https://www.ncbi.nlm.nih.gov/pubmed/23177967 --- An experimental paper about the role of brain oscillation in rule learning tasks for monkey.

[davidz-zzz]

1. http://arxiv.org/abs/1312.5602 --- Playing Atari with Deep Reinforcement Learning
2. http://arxiv.org/abs/1604.04573# --- CNN-RNN: A Unified Framework for Multi-label Image Classification
3. https://arxiv.org/pdf/1609.03499v2.pdf --- WaveNet: A Generative Model for Raw Audio

[ErbB4]

currently voted papers: ErbB4: 1, 1, 1, 2, 1 emptymalei: 1, 2, 3, 1 skyworlds: 1, 1, 2, 3 coldlikebrain: 1, 2, 1, 1, 2, 1 zlslhp: 1, 2, 1

[ruyuanzhang]

Dear all. I am interested in mechanisms of sensory processing and perceptual decision-making, especially in visual domain. Here are the papers I suggest:

1. http://www.cell.com/neuron/pdf/S0896-6273(16)30639-0.pdf. Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex
2. http://www.nature.com/neuro/journal/v19/n3/abs/nn.4244.html. Using goal-driven deep learning models to understand sensory cortex
3. http://www.nature.com/neuro/journal/v17/n6/full/nn.3711.html. Partitioning neuronal variability