Shih-Chii Liu

Position:
Professor
Email:
Work phone:
+41 44/ 635 3047
Home page:
Location:
I studied electrical engineering as an undergraduate, spent a few years in industry, and then completed my doctorate studies in the Computation in Neural Systems at Caltech. My group works on hardware-algorithmic co-design of bio-inspired hardware systems covering neuromorphic systems and deep networks, in particular we focus on bringing brain-inspired computational principles to sensory and processing architectures. We design architectures for example, our silicon cochleas and retinas, on VLSI mixed-signal chips and embedded systems using FPGAs. We also work on deep network architectures for real-time audio and visual applications and theoretical concepts of asynchronous signal processing.

Teaching

INI-404, 227-1033-00 Neuromorphic Engineering I
INI-405, 227-1032-00 Neuromorphic Engineering II
INI-431, 227-1045-00 Readings in Neuroinformatics
INI-434, 227-1049-00 Block: Insights Into Neuroinformatics
INI-701, 227-1043-00 Neuroinformatics - Colloquia

Publications

2020

2019

2018

  • Acharya, J., Patil, A., Li, X., Chen, Y., Liu, S-C., and A. Basu, A. A comparison of low-complexity real-time feature extraction for neuromorphic speech recognition, Frontiers of Neuroscience, 2018
  • Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales , Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbruck NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 - 13, 2018
  • Anumula, J., Ceolini, E., He, Z., Huber, A., and Liu, S-C. An event-driven probabilistic model of sound source localization using cochlea spikes, 2018 IEEE International Symposium on Circuits and Systems, 2018
  • Anumula, J., Neil, D., Delbruck, T., and Liu, S-C. Feature representations for neuromorphic audio spike streams, Front. Neurosci.: Special Issue on Bio-Inspired Audio Processing, Models and Systems, 2018
  • Braun, S. and Neil, D. and Anumula, J. and Ceolini, E. and Liu, S-C. Multi-channel attention for end-to-end speech recognition, 2018 Interspeech, 2018
  • Ceolini, E. and Anumula, J. and Huber, A and Kiselev, I. and Liu, S-C. Speaker activity detection and minimum variance beamforming for source separation, 2018 Interspeech, 2018
  • Chien, C-H., Longinotti, L., Steimer, A., and Liu, S-C. Hardware implementation of an event-based message passing graphical model network, IEEE Transactions on Circuits and Systems I: Regular Papers, 65:(9) 2739 - 2752, 2018
  • Gao, C., Neil, D., Ceolini, E., Liu, S-C., Delbruck, T. DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator, Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2018) 21-30, 2018
  • Huber, A. and Liu, S-C. On approximation of bandlimited functions with compressed sensing, IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
  • Rueckauer, B. and Liu, S-C. Conversion of analog to spiking neural networks using sparse temporal coding, 2018 IEEE International Symposium on Circuits and Systems, 2018 pdf

2017

2016

2015

  • Bhargava, S. and Blaettler, F. and Kollmorgen, S. and Liu, S.-C. and Hahnloser, R. H. Linear methods for efficient and fast separation of two sources recorded with a single microphone, Neural Computation, 22:(10), 2015
  • Chien, C-H. and Liu, S-C. and Steimer, A. A neuromorphic VLSI circuit for spike-based random sampling, IEEE Transactions on Emerging Topics in Computing: Special Issue on Advances in Neuromorphic and Analog VLSI Computing, PP:(99), 2015
  • Diehl, P.U. and Neil, D. and Binas, J. and Cook, M. and Liu, S.C. and Pfeiffer, M. Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing, IEEE International Joint Conference on Neural Networks (IJCNN), 2015 pdf
  • Hussain, S. and Liu, S-C. and Basu, A. Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites, Neural Computation, 27:(4) 845-897, 2015
  • Indiveri, G. and Liu, S-C. Memory and information processing in neuromorphic systems, Proceedings of IEEE, 103:(8) 1379-1397, 2015
  • Klein, P. and Conradt, J. and Liu, S-C. Scene stitching with event-driven sensors on a robot head platform, IEEE Int. Symposium on Circuits and Systems (ISCAS) 2421 - 2424 , 2015
  • Li, C. and Brandli, C. and Berner, R. and Liu, H. and Yang, M. and Liu, S.-C. and Delbruck, T. Design of an RGBW Color VGA Rolling and Global Shutter Dynamic and Active-Pixel Vision Sensor, IEEE International Symposium on Circuits and Systems (ISCAS) 718 - 721 , 2015
  • Liu, H. and Brandli, C. and Li, C. and Liu, S.-C. and Delbruck, T. Design of a Spatiotemporal Correlation Filter for Event-based Sensors, IEEE International Symposium on Circuits and Systems (ISCAS) 722 - 725 , 2015 pdf
  • Liu, S-C. and Yang, M-H. and Steiner, A. and Moeckel, R. and Delbruck, T. 1kHz 2D visual motion sensor using 20x20 silicon retina optical sensor and DSP microcontroller, IEEE Transactions on Biomedical Circuits and Systems, 9:(2) 207 - 216 , 2015
  • Moeys, D. and Delbruck, T. and Liu, S-C. Current-mode automated quality control cochlear resonator for bird identity tagging, IEEE Int. Symposium on Circuits and Systems (ISCAS) 1734 - 1737 , 2015 pdf
  • Stromatias, E. and Neil, D. and Galluppi, F. and Pfeiffer, M. and Liu, S-C and Furber, S. Live Demonstration: Handwritten digit recognition using spiking Deep Belief Networks on SpiNNaker, IEEE Int. Symposium on Circuits and Systems (ISCAS), 2015
  • Stromatias, E. and Neil, D. and Galluppi, F. and Pfeiffer, M. and Liu, SC and Furber, S. Scalable Energy-Efficient, Low-Latency Implementations of Spiking Deep Belief Networks on SpiNNaker, IEEE International Joint Conference on Neural Networks (IJCNN), 2015 pdf
  • Stromatias, E. and Neil, D. and Pfeiffer, M. and Galluppi, F. and Furber, S. and Liu, S-C Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms , Frontiers in Neuromorphic Engineering, 9:(222), 2015
  • Yang, M-H and Liu, S-C and Delbruck, T. A Dynamic Vision Sensor with 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding, IEEE Journal of Solid-State Circuits, 50:(9), 2015
  • Zai, A and Bhargava, S and Mesgarani, N and Liu, S. Reconstruction of audio waveforms from spike trains of artificial cochlea models, Frontiers in Neuroscience, 2015
  • Event-Based Neuromorphic Systems, Shih-Chii Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas (Eds.), Wiley, 2015

2014

  • Braendli, C. and Berner, R. and Yang, M-H and Liu, S-C. and Delbruck, T. A 240x180 130dB 3us latency global shutter spatiotemporal vision sensor, IEEE Journal of Solid-State Circuits (JSSC), 49:(10) 2333-2341, 2014
  • Braendli, C. and Berner, R. and Yang, M-H. and Liu, S-C. and Villeneuva, V. and Delbruck, T. Live demonstration: The “DAVIS” Dynamic and Active-Pixel Vision Sensor, 2014 IEEE International Symposium on Circuits and Systems 440, 2014
  • Hussain, S. and Liu, S-C. and Basu, A. Improved margin multi-class classification using dendritic neurons with morphological learning, 2014 IEEE International Symposium on Circuits and Systems 2640 - 2643, 2014
  • Liu, S-C and van Schaik, A. Neuromorphic Sensors, Cochlea, Encyclopedia of Computational Neuroscience 1-5, 2014
  • Neil, Daniel and Liu, Shih-Chii Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator, Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, PP:(99) 1, 2014
  • Papadimitriou, K. and Liu, S-C. and Indiveri, G. and Drakakis, E. M. Neuromorphic log-domain silicon synapse circuits obey Bernoulli dynamics: A unifying tutorial analysis, Frontiers in Neuromorphic Engineering, 2014
  • Steiner, A. and Moeckel, R. and Thurer, R. and Floreano, D. and Delbruck, T. and Liu, S-C. 1kHz 2D silicon retina motion sensor platform, 2014 IEEE International Symposium on Circuits and Systems 41-44, 2014
  • Yang, M-H and Liu, S-C and Delbruck, T. Subthreshold DC-Gain enhancement by exploiting small size effects of MOSFETs, Electronics Letters, 50:(11) 835-837, 2014
  • Yang, M-H. and Liu, S-C. and Delbruck, T. Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design, 2014 IEEE International Symposium on Circuits and Systems 2632 - 2635, 2014

2013

  • Berner, R. and Brandli, C. and Yang, M. and Liu, S.-C. and Delbruck, T. A 240x180 120dB 10mW 12us‐latency sparse output vision sensor for mobile applications, Symposium on VLSI Circuits, 2013
  • Berner, Raphael and Brandli, Christian and Yang, Minhao and Liu, Shih-Chii and Delbruck, Tobi A 240x180 120dB 10mW 12us‐latency Sparse Output Vision Sensor for Mobile Applications, IISW 2013, 2013
  • Hussain, S. and Gopalakrishnan, R. and Basu, A. and Liu, S-C. A morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration, 2013 International Joint Conference on Neural Networks, 2013
  • Liu, S-C. and Schaik, A. van and Minch, B. and Delbruck, T. Asynchronous binaural spatial audition sensor with 2x64x4 channel output, IEEE Transactions on Biomedical Circuits and Systems, 2013
  • O'Connor, P. and Neil, D. and Liu, S-C. and Delbruck, T. and Pfeiffer, M. Real-Time Classification and Sensor Fusion with a Spiking Deep Belief Network, Frontiers in Neuromorphic Engineering, 7:(178), 2013
  • Park, P. and Ryu, H. and Lee, J. H. and Shin, C. W. and Lee, K. B. and Woo, J. Y. and Kim, J-S. and Kang, B. C. and Liu, S-C. and Delbruck, T. Fast neuromorphic sound localization for binaural hearing aids, IEEE Engineering in Medicine and Biology Society, 2013
  • Wang, Y-X and Liu, S-C. Active processing of spatio-temporal input patterns in silicon dendrites, IEEE Transactions on Biomedical Circuits and Systems, 7:(3) 307-318, 2013

2012

  • Li, C-H. and Delbruck, T. and Liu, S-C. Real-time speaker identification using the AEREAR2 event-based silicon cochlea, 2012 IEEE International Symposium on Circuits and Systems 1159– 1162, 2012
  • Yang, M. H. and Liu, S-C. and Li, C-H. and Delbruck, T. Addressable current reference array with 170dB dynamic range, 2012 IEEE International Symposium on Circuits and Systems 3110-3113, 2012
  • T. Delbruck and S-C. Liu Spiking silicon retinas and cochleas for vision and audition, Frontiers in Sensing - From Biology to Engineering 88-99, 2012

2011

2010

  • Chakrabartty, S and Liu, S C Exploiting Spike-based Dynamics in a Silicon Cochlea for Speaker Identification, Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS) : Paris, France, 30 May - 2 June 2010 513-516, 2010
  • D'Souza, P and Liu, S C and Hahnloser, R H R Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity, Proceedings of the National Academy of Sciences of the United States of America, 107:(10) 4722-4727, 2010 pdf
  • Finger, H and Ruvolo, P and Liu, S C and Movellan, J R Approaches and Databases for Online Calibration of Binaural Sound Localization for Robotic Heads, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010 : 18 - 22 Oct. 2010, Taipei, Taiwan 4340-4345, 2010
  • Jaeckel, D and Moeckel, R and Liu, S C Sound recognition with spiking silicon cochlea and Hidden Markov Models, 2010
  • Liu, S C and Delbruck, T Neuromorphic sensory systems, Current Opinion in Neurobiology, 20:(3) 288-295, 2010
  • Liu, S C and Mesgarani, N and Harris, J and Hermansky, H The Use of Spike-Based Representations for Hardware Audition Systems, Proceedings of 2010 IEEE International Symposium on Circuits and Systems : Paris, France, 30 May - 2 June 2010 505-508, 2010
  • Liu, S C and van Schaik, A and Minch, B A and Delbruck, T Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms, Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS) : Paris, France, 30 May - 2 June 2010 2027-2030, 2010
  • Wang, Y and Liu, S C Motion detection using an aVLSI network of spiking neurons, Proceedings of the 2010 International Symposium of Circuits and Systems 93-96, 2010
  • Wang, Y and Liu, S C Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites, Neural Computation, 22:(8) 2086-2112, 2010

2009

  • Linares-Barranco, A. and Gomez-Rodriguez, F. and Jimenez, G. and Delbruck, T. and Berner, R. and Liu, S-C. Implementation of a time-warping AER mapper, Proceedings of IEEE International Symposium on Circuits and Systems 2886-2889, 2009 pdf
  • Oster , M. and Douglas, R. J. and Liu, S-C. Computation with Spikes in a Winner-Take-All Network, Neural Computation, 21:(9) 2436-2465, 2009 pdf
  • Serrano-Gotarredona, R. and Oster, M. and Lichtsteiner, P. and Linares-Barranco, A. and Paz-Vicente, R. and Gomez-Rodriguez, F. and Camuñas-Mesa, L. and Berner, R. and Rivas, M. and Delbruck , T. and Liu, S-C. and Douglas, R. J. and Hafliger, P. and Moreno, G. and Civit, A. and Serrano-Gotarredona, T. and Acosta-Jimenez, A. and Linares-Barranco, B. CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking, IEEE Transactions on Neural Networks, 20:(9) 1417-1438, 2009
  • Wang, Y. and Liu, S-C. Input evoked nonlinearities in silicon dendrite circuits, Proceedings of IEEE International Symposium on Circuits and Systems 2894-2897, 2009 pdf
  • Yu, T. and Schwartz, A. and Harris, J. and Slaney, M. and Liu, S-C. Periodicity detection and localization using spike timing from the AER EAR, Proceedings of IEEE International Symposium on Circuits and Systems 109-112, 2009 pdf

2008

  • Liu, S-C. and Moeckel, R. Temporally learning floating-gate VLSI synapses, IEEE International Symposium on Circuits and Systems (ISCAS 2008) 2154-2157, 2008 pdf
  • Moeckel, R. and Jaeggi, R. and Liu, S-C. Steering with an aVLSI motion detection chip, IEEE International Symposium on Circuits and Systems (ISCAS 2008) 1036-1039, 2008 pdf
  • Oster, M. and Yingxue, W. and Douglas, R. and Liu, S-C. Quantification of A Spike-Based Winner-Take-All VLSI Network, IEEE Transactions on Circuits and Systems I, Regular Papers, 55:(10) 3160-3169, 2008 pdf
  • Indiveri, G. and Liu, S.-C. and Delbruck, T. and Douglas, R. Neuromorphic systems, The New Encyclopedia of Neuroscience 521-528, 2008

2007

  • Chan, V. and Liu, S-C. and van Schaik, A. A matched silicon cochlea pair with address event representation interface, IEEE Transactions on Circuits and Systems I, Regular Papers, 54:(1) 48-59, 2007 pdf
  • Gomez-Rodriguez, F. and Linares-Barranco, A. and Miro, L. and Liu, S-C. and van Schaik, A. and Etienne-Cummings, R. and Lewis, M. A. AER audition filtering and CPG for robot control, 2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007) 1201-1204, 2007 pdf
  • Moeckel, R. and Liu, S-C. Motion detection circuits for a time-to-travel algorithm, 2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007) 3079-3082, 2007 pdf
  • Oster, M. and Douglas, R. J. and Liu, S-C. Quantifying input and output statistics of a winner-take-all network in a vision system, 2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007) 853-856, 2007 pdf
  • Oster, M. and Lichtsteiner, P. and Delbruck, T. and Liu, S-C. A spike-based saccadic recognition system, 2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007) 3083-3086, 2007 pdf

2006

  • Chan, V. and van Schaik , A. and Liu, S-C. Spike response properties of an AER EAR, 2006 IEEE International Symposium on Circuits and Systems 859-862, 2006 pdf
  • Huang, Y.-Y. and Rinner, O. and Hedinger, P. and Liu, S-C. and Neuhauss, S. Oculomotor instabilities in zebrafish mutant belladonna: A behavioral model for congenital nystagmus due to axonal misrouting, Journal of Neuroscience, 26:(39) 9873-9880, 2006 pdf
  • Liu, S-C. and Oster, M. Feature competition in a spike-based winner-take-all VLSI network, IEEE International Symposium on Circuits and Systems (ISCAS 2006) 3634-3637, 2006 pdf
  • Wang, Y-X. and Douglas, R. and Liu, S-C. Attentional processing in a spike-based VLSI neural network, Advances in Neural Information Processing Systems (NIPS), 19:, 2006 pdf
  • Wang, Y-X. and Liu, S-C. Programmable synaptic weights for an aVLSI network of spiking neurons, 2006 IEEE International Symposium on Circuits and Systems 4531-4534, 2006 pdf

2005

  • Liu, S-C. and van Schaik, A. An AER Ear, The Neuromorphic Engineering Newsletter, 2:(1) 11-12, 2005
  • Oster, M and Liu, S-C. Spiking inputs to a winner-take-all network, Advances in Neural Information Processing Systems (NIPS), 18: 1051-1058, 2005 pdf
  • Oster, M. and Whatley, A. M. and Liu, S-C. and Douglas, R. J. A hardware/software framework for real-time spiking systems, Artificial Neural Networks: Biological Inspirations – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part I, 3696: 161-166, 2005 pdf
  • Reichel, L. and Liechti, D. and Presser , K. and Liu, S-C. Robot guidance with neuromorphic motion sensors, IEEE International Conference on Robotics and Automation 3540-3544, 2005
  • Reichel, L. and Liechti, D. and Presser, K. and Liu, S-C. Robotics and Autonomous Systems, Robotics and Autonomous Systems, 51:(2-3) 167-174, 2005
  • Serrano-Gotarredona, R. and Oster, M. and Lichtsteiner, P. and Linares-Barranco, A. and Paz-Vincent, R. and Gómez-Rodríguez, F. and Kolle Riis, H. and Delbrück, T. and Liu, S. C. and Zahnd, S. and Whatley, A. M. and Douglas, R. and Häfliger, P. and Jimenez-Moreno, G. and Civit, A. and Serrano-Gotarredona, T. and Acosta-Jiménez, A. and Linares-Barranco, B. AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems, Advances in Neural Information Processing Systems (NIPS), 18: 1217-1224, 2005 pdf
  • van Schaik, A. and Liu, S-C. AER EAR: A matched silicon cochlea pair with address event representation interface, IEEE International Symposium on Circuits and Systems, V:(4213-4216), 2005 pdf

2004

  • Delbruck, T. and Liu, S-C. A silicon visual system as a model animal , Vision Research, 44:(17) 2083-2089, 2004 pdf
  • Liu, S-C. and Douglas, R. Temporal coding in a silicon network of integrate-and-fire neurons, IEEE Transactions on Neural Networks, 15:(5) 1305-1314, 2004
  • Liu, S-C. and Douglas, R. Spike synchronization in a network of silicon integrate-and-fire neurons, 2004 IEEE International Symposium on Circuits and Systems (ISCAS 2004), V: 397-400, 2004
  • Oster, M. and Liu, S-C. A winner-take-all spiking network with spiking inputs, 11th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2004), 2004 pdf

2003

  • Boegerhausen, M and Suter, P and Liu, S-C. Modeling short-term synaptic depression in silicon, Neural Computation, 15:(2) 331-348, 2003
  • Liu, S-C. Analog VLSI circuits for short-term dynamic synapses, European Journal on Applied Signal Processing, 7: 1-9, 2003
  • Liu, S-C. A silicon retina with controllable winner-take-all properties, IEEE International Symposium on Circuits and Systems, V: 829-832, 2003 pdf
  • Liu, S-C. A wide-field direction-selective aVLSI spiking neuron, IEEE International Symposium on Circuits and Systems, IV: 804-807, 2003
  • Liu, S-C. and Boegershausen, M. and Suter, P. Circuit model of short-term synaptic dynamics, Advances in Neural Information Processing Systems, 15:, 2003 pdf

2002

  • Liu, S-C. A normalizing aVLSI network with controllable winner-take-all properties, Analog Integrated Circuits and Signal Processing, 31:(1) 47-53, 2002 pdf
  • Liu, S-C. and Kramer, J. and Indiveri, G. and Delbruck, T. and Douglas, R. Orientation-selective aVLSI spiking neurons, Advances in Neural Information Processing Systems, 14:, 2002 pdf
  • Liu, S-C. and Minch , B.A. Silicon synaptic adaptation mechanisms for homeostasis and contrast gain control, IEEE Transactions on Neural Networks, 13:(6) 1497-1503, 2002 pdf
  • Usseglio-Viretta, A. and Fusi, S. and Liu, S-C. Encoding the temporal statistics of Markovian sequences of stimuli in recurrent neuronal networks, Artificial Neural Networks - ICANN 2002, 2415: 204-209, 2002 pdf
  • Liu, S-C. and Kramer, J. and Indiveri, G. and Delbruck, T. and Douglas, R. Analog VLSI: Circuits and Principles, MIT Press, 2002

2001

  • Delbruck, T and Liu, S-C. and Chicca, E and Ricci, GM and Bovet, S A Retina/V1 simple cell chip for physiology experiment design or classroom demonstration, IEEE CCD and AIS meeting, June 7-9, 2001, Lake Tahoe, California , 2001 pdf
  • Liu, S-C. and Kramer, J. and Indiveri, G. and Delbruck, T. and Burg, T. and Douglas, R. Orientation-selective aVLSI spiking neurons, Neural Networks, 14:(6/7) 629-643, 2001
  • Liu, S-C. and Minch, B.A. Homeostasis in a silicon integrate-and-fire neuron, Advances in Neural Information Processing Systems, 13:, 2001 pdf
  • Liu, S-C. and Usseglio-Viretta, A. Fly-like visuo-motor responses on a robot using aVLSI motion chips, Biological Cybernetics, 85:(6) 449-457, 2001 pdf
  • Suter, P. and Liu, S.C. A push-pull model of orientation-selectivity in a hybrid VLSI system of spiking neurons, World Congress on Neuroinformatics, 2001 pdf

2000

  • Liu, S-C. A neuromorphic aVLSI model of global motion processing in the fly, IEEE Transactions on Circuits and Systems II, Analog and Digital Signal Processing, 47:(12) 1458-1467, 2000 pdf
  • Liu, S-C. A winner-take-all circuit with controllable soft-max property, Advances in Neural Information Processing Systems, 12:, 2000
  • Liu, S-C. and Usseglio-Viretta, A. Visuo-motor fly-like responses of a robot using aVLSI motion-sensitive chips, Second International ICSC Symposium on Neural Computation, NC'2000, 2000 pdf

1999

  • Liu, S-C. Silicon retina with adaptive filtering properties, Analog Integrated Circuits and Signal Processing, 18:(2/3) 1-12, 1999
  • Liu, S-C. Silicon photoreceptors with controllable adaptive filtering properties, Learning in Silicon 67-78, 1999 pdf

1998

  • Liu, S.C. Silicon retina with adaptive filtering properties, Advances in Neural Information Processing Systems, 10:, 1998 pdf

1996

  • Liu, S-C. Silicon model of motion adaptation in the fly visual system, Proceedings of the 3rd UCSD-Caltech Joint Symposium on Neural Computation, 6:(1) 1-10, 1996
  • Liu, S.-C. and Mead, C. Continuous-time adaptive delay system, IEEE Transactions on Circuits and Systems II, Analog and Digital Signal Processing, 43:(11) 222-236, 1996

1995

  • Liu, S-C. and Boahen, K. Adaptive retina with center-surround receptive field, Advances in Neural Information Processing Systems, 8: 678-684, 1995

1994

  • Liu, S.-C. and Mead, C. Continuous-time adaptive delay system, IEEE International Symposium on Circuits and Systems, 1994