uzh-rpg · guillermogb · Jun 27, 2017 · Jun 27, 2017 · Jun 27, 2017 · Jun 27, 2017
diff --git a/README.md b/README.md
@@ -35,8 +35,8 @@
 - **DVS (Dynamic Vision Sensor)**: Lichtsteiner, P., Posch, C., and Delbruck, T., *[A 128x128 120dB 15μs latency asynchronous temporal contrast vision sensor](http://doi.org/10.1109/JSSC.2007.914337)*, IEEE J. Solid-State Circuits, 43(2):566--576, 2008.
     - [Product page at iniLabs](https://inilabs.com/products/dynamic-vision-sensors/)
     - [Introductory videos about the DVS](https://inilabs.com/videos/dvs-introduction/)
-- **DAVIS (Dynamic and Active-Pixel Vision Sensor)** : 
-Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T., *[A 240x180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor](https://doi.org/10.1109/JSSC.2014.2342715)*, IEEE J. Solid-State Circuits, 49(10):2333--2341, 2014. 
+- **DAVIS (Dynamic and Active-Pixel Vision Sensor)** :
+Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T., *[A 240x180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor](https://doi.org/10.1109/JSSC.2014.2342715)*, IEEE J. Solid-State Circuits, 49(10):2333--2341, 2014.
     - [Product page at iniLabs](https://inilabs.com/products/dynamic-and-active-pixel-vision-sensor/)
     - **Color-DAVIS**: Li, C., Brandli, C., Berner, R., Liu, H., Yang, M., Liu, S.-C., Delbruck, T., [Design of an RGBW Color VGA Rolling and Global Shutter Dynamic and Active-Pixel Vision Sensor](https://doi.org/10.1109/ISCAS.2015.7168734), IEEE Int. Symp. Circuits and Systems (ISCAS), Lisbon, 2015, pp. 718--721.
 
@@ -54,43 +54,45 @@ Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T., *[A 240x180 130 dB
 <a name="drivers"></a>
 ## Drivers
 - [jAER (java Address-Event Representation) project](http://jaerproject.org/)
-- ROS (Robotic Operating System)
+- [caer (AER event-based framework, written in C, targeting embedded systems)](https://github.com/inilabs/caer)
+- [libcaer (Minimal C library to access, configure and get/send AER data from sensors or to/from neuromorphic processors)](https://github.com/inilabs/libcaer)
+- [ROS (Robotic Operating System)](https://github.com/uzh-rpg/rpg_dvs_ros)
 
 
 <a name="calibration"></a>
 ## Calibration
 - For the DAVIS: use the grayscale frames, with standard software such as ROS camera calibrator, kalibr, ...
 - For the DAVIS camera and IMU calibration: kalibr.
 - For the DVS (events-only):
-    - [] from RPG - UZH.
+    - [Calibration using blinking LEDs or computer screens](https://github.com/uzh-rpg/rpg_dvs_ros/tree/master/dvs_calibration) from RPG - UZH.
     - [DVS camera calibration](https://github.com/VLOGroup/dvs-calibration) from VLOGroup at TU Graz, Austria.
 
 
 # Algorithms
-   
+
 <a name="feature-detection"></a>
 ## Feature Detection and Tracking
-- Tedaldi, D., Gallego, G., Mueggler, E., Scaramuzza, D., [Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS)](https://doi.org/10.1109/EBCCSP.2016.7605086), IEEE Int. Conf. Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/EBCCSP16_Tedaldi.pdf), [YouTube](https://www.youtube.com/watch?v=nglfEkiK308)
-- Braendli, C., Strubel, J., Keller, S., Scaramuzza, D., Delbruck, T., [ELiSeD - An Event-Based Line Segment Detector](https://doi.org/10.1109/EBCCSP.2016.7605244) Int. Conf. on Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/EBCCSP16_Braendli.pdf)
-- Zhu, A., Atanasov, N., Daniilidis, K., [Event-based Feature Tracking with Probabilistic Data Associations](https://fling.seas.upenn.edu/~alexzhu/dynamic/event-based-feature-tracking-with-probabilistic-data-association/), IEEE Int. Conf. Robotics and Automation (ICRA), Singapore, 2017. [YouTube](https://youtu.be/m93XCqAS6Fc)
+- Tedaldi, D., Gallego, G., Mueggler, E., Scaramuzza, D., *[Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS)](https://doi.org/10.1109/EBCCSP.2016.7605086)*, IEEE Int. Conf. Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/EBCCSP16_Tedaldi.pdf), [YouTube](https://www.youtube.com/watch?v=nglfEkiK308)
+- Braendli, C., Strubel, J., Keller, S., Scaramuzza, D., Delbruck, T., *[ELiSeD - An Event-Based Line Segment Detector](https://doi.org/10.1109/EBCCSP.2016.7605244)*, Int. Conf. on Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/EBCCSP16_Braendli.pdf)
+- Zhu, A., Atanasov, N., Daniilidis, K., *[Event-based Feature Tracking with Probabilistic Data Associations](https://fling.seas.upenn.edu/~alexzhu/dynamic/event-based-feature-tracking-with-probabilistic-data-association/)*, IEEE Int. Conf. Robotics and Automation (ICRA), Singapore, 2017. [YouTube](https://youtu.be/m93XCqAS6Fc)
 
 
 <a name="depth-estimation"></a>
 ## Depth Estimation (3D Reconstruction)
 
 <a name="depth-mono"></a>
 ### Monocular Depth Estimation
-- Rebecq, H., Gallego, G., Scaramuzza, D., [EMVS: Event-based Multi-View Stereo](http://www.bmva.org/bmvc/2016/papers/paper063/), British Machine Vision Conference (BMVC), York, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/BMVC16_Rebecq.pdf), [YouTube](https://www.youtube.com/watch?v=EUX3Tfx0KKE), [3D Reconstruction Experiments from a Train using an Event Camera](https://www.youtube.com/watch?v=fA4MiSzYHWA)
+- Rebecq, H., Gallego, G., Scaramuzza, D., *[EMVS: Event-based Multi-View Stereo](http://www.bmva.org/bmvc/2016/papers/paper063/)*, British Machine Vision Conference (BMVC), York, 2016. [PDF](http://rpg.ifi.uzh.ch/docs/BMVC16_Rebecq.pdf), [YouTube](https://www.youtube.com/watch?v=EUX3Tfx0KKE), [3D Reconstruction Experiments from a Train using an Event Camera](https://www.youtube.com/watch?v=fA4MiSzYHWA)
 
 ### Monocular Depth Estimation using Structured Light
-- Brandli, C., Mantel, T.A., Hutter, M., Hoepflinger, M.A., Berner, R., Siegwart, R., Delbruck, T., [Adaptive Pulsed Laser Line Extraction for Terrain Reconstruction using a Dynamic Vision Sensor](https://doi.org/10.3389/fnins.2013.00275). Front. Neurosci. (2014) 7:275. [PDF](http://www.zora.uzh.ch/107736/1/fnins-07-00275.pdf), [YouTube](https://youtu.be/20OGD5Wwe9Q)
-- Matsuda, N., Cossairt, O., Gupta, M., [MC3D: Motion Contrast 3D Scanning](https://doi.org/10.1109/ICCPHOT.2015.7168370), IEEE Conf. Computational Photography (ICCP), Houston,TX, 2015, pp. 1-10. [PDF](http://compphotolab.northwestern.edu/wordpress/wp-content/uploads/2015/04/dvs_031.pdf), [YouTube](https://youtu.be/m7qOEsTyVwU), [Project page](http://compphotolab.northwestern.edu/project/mc3d-motion-contrast-3d-laser-scanner/)
+- Brandli, C., Mantel, T.A., Hutter, M., Hoepflinger, M.A., Berner, R., Siegwart, R., Delbruck, T., *[Adaptive Pulsed Laser Line Extraction for Terrain Reconstruction using a Dynamic Vision Sensor](https://doi.org/10.3389/fnins.2013.00275)*, Front. Neurosci. (2014) 7:275. [PDF](http://www.zora.uzh.ch/107736/1/fnins-07-00275.pdf), [YouTube](https://youtu.be/20OGD5Wwe9Q)
+- Matsuda, N., Cossairt, O., Gupta, M., *[MC3D: Motion Contrast 3D Scanning](https://doi.org/10.1109/ICCPHOT.2015.7168370)*, IEEE Conf. Computational Photography (ICCP), Houston,TX, 2015, pp. 1-10. [PDF](http://compphotolab.northwestern.edu/wordpress/wp-content/uploads/2015/04/dvs_031.pdf), [YouTube](https://youtu.be/m7qOEsTyVwU), [Project page](http://compphotolab.northwestern.edu/project/mc3d-motion-contrast-3d-laser-scanner/)
 
 <a name="depth-stereo"></a>
 ### Stereo Depth Estimation
-- Rogister, P. , Benosman, R., Ieng, S.-H., Lichtsteiner, P., Delbruck, T., [Asynchronous Event-Based Binocular Stereo Matching](https://doi.org/10.1109/TNNLS.2011.2180025), IEEE Trans. Neural Networks and Learning Systems, 23(2):347--353, 2012.
-- Camuñas-Mesa, L. A., Serrano-Gotarredona, T., Ieng, S. H., Benosman, R. B., and Linares-Barranco, B., [On the use of orientation filters for 3D reconstruction in event–driven stereo vision](https://doi.org/10.3389/fnins.2014.00048). Front. Neurosci. (2014) 8:48.
-- Camuñas-Mesa, L. A., Serrano-Gotarredona, T., Linares-Barranco, B., Ieng, S., Benosman, R., [Event-Driven Stereo Vision with Orientation Filters](https://doi.org/10.1109/ISCAS.2014.6865114), IEEE Int. Symp. Circuits and Systems (ISCAS), Melbourne VIC, 2014, pp. 257--260.
+- Rogister, P. , Benosman, R., Ieng, S.-H., Lichtsteiner, P., Delbruck, T., *[Asynchronous Event-Based Binocular Stereo Matching](https://doi.org/10.1109/TNNLS.2011.2180025)*, IEEE Trans. Neural Networks and Learning Systems, 23(2):347--353, 2012.
+- Camuñas-Mesa, L. A., Serrano-Gotarredona, T., Ieng, S. H., Benosman, R. B., and Linares-Barranco, B., *[On the use of orientation filters for 3D reconstruction in event–driven stereo vision](https://doi.org/10.3389/fnins.2014.00048)*, Front. Neurosci. (2014) 8:48.
+- Camuñas-Mesa, L. A., Serrano-Gotarredona, T., Linares-Barranco, B., Ieng, S., Benosman, R., *[Event-Driven Stereo Vision with Orientation Filters](https://doi.org/10.1109/ISCAS.2014.6865114)*, IEEE Int. Symp. Circuits and Systems (ISCAS), Melbourne VIC, 2014, pp. 257--260.
 
 
 <a name="optical-flow"></a>
@@ -121,6 +123,7 @@ Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T., *[A 240x180 130 dB
 ## Localization and Ego-Motion Estimation
 - *[Cook et. al. IJCNN 2011](#Cook11ijcnn)*; in case of rotational motion.
 - Weikersdorfer, D. and Conradt, J., *[Event-based particle filtering for robot self-localization](http://doi.org/10.1109/ROBIO.2012.6491077)*, IEEE Int. Conf. on Robotics and Biomimetcs (ROBIO), Guangzhou, 2012, pp. 866--870. [PDF](https://mediatum.ub.tum.de/doc/1215541/835468.pdf)
+- Censi, A., Strubel, J., Brandli, C., Delbruck, T., Scaramuzza, D., *[Low-latency localization by Active LED Markers tracking using a Dynamic Vision Sensor](https://doi.org/10.1109/IROS.2013.6696456)*, IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), Tokyo, 2013. [PDF](http://rpg.ifi.uzh.ch/docs/IROS13_Censi.pdf) [PPT](http://rpg.ifi.uzh.ch/docs/IROS13_Censi.ppt)
 - Mueggler, E., Huber, B., Scaramuzza, D., *[Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers](https://doi.org/10.1109/IROS.2014.6942940)*, IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), Chicago, IL, 2014, pp. 2761--2768. [PDF](http://rpg.ifi.uzh.ch/docs/IROS14_Mueggler.pdf), [YouTube](https://youtu.be/LauQ6LWTkxM)
 - Gallego, G., Forster, C., Mueggler, E., Scaramuzza, D., *[Event-based Camera Pose Tracking using a Generative Event Model](https://arxiv.org/pdf/1510.01972v1)*, arXiv:1510.01972, 2015.
 - Mueggler, E., Gallego G., Scaramuzza, D., *[Continuous-Time Trajectory Estimation for Event-based Vision Sensors](http://dx.doi.org/10.15607/RSS.2015.XI.036)*. Robotics: Science and Systems XI (RSS), Rome, Italy, 2015. [PDF]
@@ -153,36 +156,37 @@ Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T., *[A 240x180 130 dB
 
 <a name="datasets"></a>
 ## Datasets
-- [Several datasets from the Sensors group at INI](http://sensors.ini.uzh.ch/databases.html) (Institute of Neuroinformatics), Zurich.
+- [Several datasets from the Sensors group at INI](http://sensors.ini.uzh.ch/databases.html) (Institute of Neuroinformatics), Zurich:
+    - [DVS128 Dynamic Vision Sensor Silicon Retina data](https://sourceforge.net/p/jaer/wiki/AER%20data/)
 - [Combined Dynamic Vision / RGB-D Dataset](http://ci.nst.ei.tum.de/EBSLAM3D/dataset/), from the paper Weikersdorfer, D., Adrian, D. B., Cremers, D., Conradt, J., *[Event-based 3D SLAM with a depth-augmented dynamic vision sensor](https://doi.org/10.1109/ICRA.2014.6906882)*, Int. Conf. Robotics and Automation (ICRA), Hong-Kong, pp. 359--364, 2014.
 - Rueckauer, B. and Delbruck, T., [Evaluation of Event-Based Algorithms for Optical Flow with Ground-Truth from Inertial Measurement Sensor](https://doi.org/10.3389/fnins.2016.00176). Front. Neurosci (2016). 10:176.
 - Barranco, F., Fermuller, C., Aloimonos, Y., [A Dataset for Visual Navigation with Neuromorphic Methods](https://dx.doi.org/10.3389%2Ffnins.2016.00049). Front. Neurosci. 10:49.
-- E. Mueggler, H. Rebecq, G. Gallego, T. Delbruck, D. Scaramuzza, [The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM](http://rpg.ifi.uzh.ch/davis_data.html), Int. J. Robotics Research, 36:2, pp. 142--149, 2017. [PDF](https://arxiv.org/pdf/1610.08336.pdf), [PDF IJRR](http://dx.doi.org/10.1177/0278364917691115), [Dataset](http://rpg.ifi.uzh.ch/davis_data.html).
-- Hu, Y., Liu, H., Pfeiffer, M., Delbruck, T., [DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition](https://doi.org/10.3389/fnins.2016.00405). Front. Neurosci. 10:405.
-- Binas, J., Neil, D., Liu, S.-C., Delbruck, T., *[DDD17: End-To-End DAVIS Driving Dataset](https://www.openreview.net/pdf?id=HkehpKVG-)*. In Proc. 34th Int. Conf. Machine Learning, Sydney, Australia, PMLR 70,  2017. [Dataset](http://sensors.ini.uzh.ch/databases.html)
+- E. Mueggler, H. Rebecq, G. Gallego, T. Delbruck, D. Scaramuzza, *[The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM](http://rpg.ifi.uzh.ch/davis_data.html)*, Int. J. Robotics Research, 36:2, pp. 142--149, 2017. [PDF](https://arxiv.org/pdf/1610.08336.pdf), [PDF IJRR](http://dx.doi.org/10.1177/0278364917691115), [Dataset](http://rpg.ifi.uzh.ch/davis_data.html).
+- Hu, Y., Liu, H., Pfeiffer, M., Delbruck, T., *[DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition](https://doi.org/10.3389/fnins.2016.00405)*, Front. Neurosci. 10:405. [Dataset](http://dgyblog.com/projects-term/dvs-dataset.html)
+- Binas, J., Neil, D., Liu, S.-C., Delbruck, T., *[DDD17: End-To-End DAVIS Driving Dataset](https://www.openreview.net/pdf?id=HkehpKVG-)*. In Proc. 34th Int. Conf. Machine Learning, Sydney, Australia, PMLR 70, 2017. [Dataset](http://sensors.ini.uzh.ch/databases.html)
 
 
 ## Recognition
-- Lee, J., Delbruck, T., Park, P. K. J., Pfeiffer, M., Shin, C. W., Ryu, H., Kang, B. C., [Live demonstration: Gesture-Based remote control using stereo pair of dynamic vision sensors](https://doi.org/10.1109/ISCAS.2012.6272144). IEEE Int. Symp. Circuits and Systems (ISCAS) 2012, Seoul, South Korea, pp. 736--740. [PDF](http://www.zora.uzh.ch/75315/1/Lee_et_al_Live_demonstration.pdf), [YouTube]()
+- Lee, J., Delbruck, T., Park, P. K. J., Pfeiffer, M., Shin, C. W., Ryu, H., Kang, B. C., *[Live demonstration: Gesture-Based remote control using stereo pair of dynamic vision sensors](https://doi.org/10.1109/ISCAS.2012.6272144)*, IEEE Int. Symp. Circuits and Systems (ISCAS) 2012, Seoul, South Korea, pp. 736--740. [PDF](http://www.zora.uzh.ch/75315/1/Lee_et_al_Live_demonstration.pdf), [YouTube]()
 
 
 ### Neural Networks
-- <a name="MoeysEBCCSP16"></a>Moeys, D., Corradi F., Kerr, E., Vance, P., Das, G., Neil, D., Kerr, D., Delbruck, T., [Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network](https://doi.org/10.1109/EBCCSP.2016.7605233), IEEE Int. Conf. Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF]
+- <a name="MoeysEBCCSP16"></a>Moeys, D., Corradi F., Kerr, E., Vance, P., Das, G., Neil, D., Kerr, D., Delbruck, T., *[Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network](https://doi.org/10.1109/EBCCSP.2016.7605233)*, IEEE Int. Conf. Event-Based Control Comm. and Signal Proc. (EBCCSP), Krakow, Poland, 2016. [PDF]
 
 
 ## Control
-- Conradt, J., Cook, M., Berner, R., Lichtsteiner, P., Douglas, R. J., Delbruck, T., [A Pencil Balancing Robot Using a Pair of AER Dynamic Vision Sensors](https://doi.org/10.1109/ISCAS.2009.5117867), IEEE Int. Symp. Circuits and Systems (ISCAS) 2009, pp. 781--784, 2009.
+- Conradt, J., Cook, M., Berner, R., Lichtsteiner, P., Douglas, R. J., Delbruck, T., *[A Pencil Balancing Robot Using a Pair of AER Dynamic Vision Sensors](https://doi.org/10.1109/ISCAS.2009.5117867)*, IEEE Int. Symp. Circuits and Systems (ISCAS) 2009, pp. 781--784, 2009.
 <!-- - Conradt, J., Berner, R., Cook, M., Delbruck, T., [An embedded AER dynamic vision sensor for low-latency pole balancing](https://doi.org/10.1109/ICCVW.2009.5457625), IEEE Int. Conf. Computer Vision Workshops (ICCVW), Kyoto, Japan, 2009. [PDF](www.ini.uzh.ch/admin/extras/doc_get.php?id=42580) -->
-- Delbruck, T., Lang, M., [Robotic Goalie with 3ms Reaction Time at 4% CPU Load Using Event-Based Dynamic Vision Sensor](https://doi.org/10.3389/fnins.2013.00223), Front. Neurosci. (2013) 7:223. [PDF](http://www.zora.uzh.ch/107801/1/fnins-07-00223.pdf), [YouTube](https://youtu.be/IC5x7ftJ96w)
-- Censi, A., [Efficient Neuromorphic Optomotor Heading Regulation](https://doi.org/10.1109/ACC.2015.7171931), The 2015 American Control Conference (ACC), Chicago, IL, 2015, pp. 3854--3861.
+- Delbruck, T., Lang, M., *[Robotic Goalie with 3ms Reaction Time at 4% CPU Load Using Event-Based Dynamic Vision Sensor](https://doi.org/10.3389/fnins.2013.00223)*, Front. Neurosci. (2013) 7:223. [PDF](http://www.zora.uzh.ch/107801/1/fnins-07-00223.pdf), [YouTube](https://youtu.be/IC5x7ftJ96w)
+- Censi, A., *[Efficient Neuromorphic Optomotor Heading Regulation](https://doi.org/10.1109/ACC.2015.7171931)*, The 2015 American Control Conference (ACC), Chicago, IL, 2015, pp. 3854--3861.
 - [Moeys et. al. EBCCSP 2016](#MoeysEBCCSP16)
 
 
 ## Neuromorphic Processors and Platforms
 - [Dynamic Neuromorphic Asynchronous Processor (DYNAP) by iniLabs](https://inilabs.com/products/dynap/)
-  - Qiao, N., Mostafa, H., Corradi, F., Osswald, M., Stefanini, F., Sumislawska, D., Indiveri, G. [A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses](https://doi.org/10.3389/fnins.2015.00141). Front. Neurosci. (2015) 9:141. [PDF](https://capocaccia.ethz.ch/capo/raw-attachment/wiki/2015/hybrid15/frontiers14-nlp.pdf)
-  - Indiveri, G., Qiao, N., Corradi, F., [Neuromorphic Architectures for Spiking Deep Neural Networks](https://doi.org/10.1109/IEDM.2015.7409623), IEEE Int. Electron Devices Meeting (IEDM), Washington, DC, 2015, pp. 4.2.1--4.2.4. [PDF](http://ncs.ethz.ch/pubs/pdf/Indiveri_etal15.pdf)
-- Galluppi, F., Denk, C., Meiner, M. C., Stewart, T. C., Plana, L. A., Eliasmith, C., Furber, S., Conradt, J., [Event-based neural computing on an autonomous mobile platform](https://doi.org/10.1109/ICRA.2014.6907270), IEEE Int. Conf. Robotics and Automation (ICRA), Hong Kong, 2014, pp. 2862--2867. [PDF](http://compneuro.uwaterloo.ca/files/publications/galluppi.2014.pdf)
+  - Qiao, N., Mostafa, H., Corradi, F., Osswald, M., Stefanini, F., Sumislawska, D., Indiveri, G. *[A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses](https://doi.org/10.3389/fnins.2015.00141)*, Front. Neurosci. (2015) 9:141. [PDF](https://capocaccia.ethz.ch/capo/raw-attachment/wiki/2015/hybrid15/frontiers14-nlp.pdf)
+  - Indiveri, G., Qiao, N., Corradi, F., *[Neuromorphic Architectures for Spiking Deep Neural Networks](https://doi.org/10.1109/IEDM.2015.7409623)*, IEEE Int. Electron Devices Meeting (IEDM), Washington, DC, 2015, pp. 4.2.1--4.2.4. [PDF](http://ncs.ethz.ch/pubs/pdf/Indiveri_etal15.pdf)
+- Galluppi, F., Denk, C., Meiner, M. C., Stewart, T. C., Plana, L. A., Eliasmith, C., Furber, S., Conradt, J., *[Event-based neural computing on an autonomous mobile platform](https://doi.org/10.1109/ICRA.2014.6907270)*, IEEE Int. Conf. Robotics and Automation (ICRA), Hong Kong, 2014, pp. 2862--2867. [PDF](http://compneuro.uwaterloo.ca/files/publications/galluppi.2014.pdf)
 
 
 <a name="workshops"></a>