A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip
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[1] M. Ishikawa,et al. A CMOS vision chip with SIMD processing element array for 1 ms image processing , 1999, 1999 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC. First Edition (Cat. No.99CH36278).
[2] Christian Faubel,et al. Learning to recognize objects on the fly: A neurally based dynamic field approach , 2008, Neural Networks.
[3] Gregor Sch,et al. Dynamical Systems Approaches to Cognition , 2008 .
[4] Gregor Schöner,et al. Dynamic Thinking : A Primer on Dynamic Field Theory , 2015 .
[5] Estela Bicho,et al. Neuro-cognitive mechanisms of decision making in joint action: a human-robot interaction study. , 2011, Human movement science.
[6] G. Schöner. The Cambridge Handbook of Computational Psychology: Dynamical Systems Approaches to Cognition , 2008 .
[7] Piotr Dudek,et al. A Real-time High Dynamic Range Vision System with Tone Mapping for Automotive Applications , 2016 .
[8] Gregor Schöner,et al. A robotic architecture for action selection and behavioral organization inspired by human cognition , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[9] Yulia Sandamirskaya,et al. Dynamic neural fields as a step toward cognitive neuromorphic architectures , 2014, Front. Neurosci..
[10] Matthew Cook,et al. Pixel interlacing to trade off the resolution of a cellular processor array against more registers , 2015, 2015 European Conference on Circuit Theory and Design (ECCTD).
[11] Matthew Cook,et al. Toward joint approximate inference of visual quantities on cellular processor arrays , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).
[12] Piotr Dudek,et al. Parallel HDR tone mapping and auto-focus on a cellular processor array vision chip , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).
[13] Gregor Schöner,et al. Parsing of action sequences: A neural dynamics approach , 2015, Paladyn J. Behav. Robotics.
[14] Lin-Bao Yang,et al. Cellular neural networks: theory , 1988 .
[15] Bin Wang,et al. A 100,000 fps vision sensor with embedded 535GOPS/W 256×256 SIMD processor array , 2013, 2013 Symposium on VLSI Circuits.
[16] A. Hollingworth,et al. Dynamic interactions between visual working memory and saccade target selection. , 2014, Journal of vision.
[17] Radu Matei,et al. New Model and Applications of Cellular Neural Networks in Image Processing , 2009 .
[18] J. Cowan,et al. A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue , 1973, Kybernetik.
[19] J. Kalaska,et al. Neural mechanisms for interacting with a world full of action choices. , 2010, Annual review of neuroscience.
[20] Wancheng Zhang,et al. A Programmable SIMD Vision Chip for Real-Time Vision Applications , 2008, IEEE Journal of Solid-State Circuits.
[21] Leon O. Chua,et al. The CNN paradigm , 1993 .
[22] Nicolas P. Rougier. Dynamic neural field with local inhibition , 2005, Biological Cybernetics.
[23] Ákos Zarándy,et al. Focal-Plane Sensor-Processor Chips , 2014 .
[24] Ari Paasio,et al. MIPA4k: Mixed-Mode Cellular Processor Array , 2011 .
[25] Bin Wang,et al. Live demonstration: A sensor-processor array integrated circuit for high-speed real-time machine vision , 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).
[26] Bin Wang,et al. Mixed signal SIMD processor array vision chip for real-time image processing , 2013 .