Shih-Chii Liu

Orcid: 0000-0002-7557-045X

According to our database1, Shih-Chii Liu authored at least 191 papers between 1989 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings.
CoRR, 2024

Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement.
CoRR, 2024

A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM.
CoRR, 2024

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024


Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature.
IEEE Trans. Biomed. Circuits Syst., August, 2023

Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

End-to-End Prediction of Sodium Concentration from Uncalibrated Sodium ISFETs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A 3.11 μ W 40 n V/ ✓Hz Instrumentation Amplifier for Bio-Impedance Sensors Exploiting Positive-Feedback-Assisted Gain Boosting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Biologically-Inspired Continual Learning of Human Motion Sequences.
Proceedings of the IEEE International Conference on Acoustics, 2023

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study.
IEEE J. Biomed. Health Informatics, 2022

Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing.
IEEE Trans. Circuits Syst. Video Technol., 2022

Spiking Cochlea With System-Level Local Automatic Gain Control.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

2022 roadmap on neuromorphic computing and engineering.
Neuromorph. Comput. Eng., 2022

A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction.
IEEE J. Solid State Circuits, 2022

Continuous-Time Analog Filters for Audio Edge Intelligence: Review and Analysis on Design Techniques.
CoRR, 2022

A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Exploiting Spatial Sparsity for Event Cameras with Visual Transformers.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events.
Proceedings of the IEEE International Conference on Acoustics, 2022

Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Person identification using deep neural networks on physiological biomarkers during exercise.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Real-time smart multisensing wearable platform for monitoring sweat biomarkers during exercise.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events".
Dataset, July, 2021

Prospects for Analog Circuits in Deep Networks.
CoRR, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.
CoRR, 2021

Event-Driven Local Gain Control on a Spiking Cochlea Sensor.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Reducing Latency in a Converted Spiking Video Segmentation Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Temporal Pattern Coding in Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

LiteEdge: Lightweight Semantic Edge Detection Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

v2e: From Video Frames to Realistic DVS Events.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

EILE: Efficient Incremental Learning on the Edge.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception.
NeuroImage, 2020

Optimal Sampling of Parametric Families: Implications for Machine Learning.
Neural Comput., 2020

Siamese Networks for Few-Shot Learning on Edge Embedded Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

V2E: From video frames to realistic DVS event camera streams.
CoRR, 2020

Exploiting Event Cameras by Using a Network Grafting Algorithm.
CoRR, 2020

Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator.
CoRR, 2020

DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020


Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning to Exploit Multiple Vision Modalities by Using Grafted Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Prediction of Gas Concentration Using Gated Recurrent Neural Networks.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Multi-Resolution Siamese Networks for One-Shot Learning.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps.
IEEE Trans. Neural Networks Learn. Syst., 2019

Event-Driven Sensing for Efficient Perception: Vision and audition algorithms.
IEEE Signal Process. Mag., 2019

Filtering of Nonuniformly Sampled Bandlimited Functions.
IEEE Signal Process. Lett., 2019

Incremental Learning of Hand Symbols Using Event-Based Cameras.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Thermodynamic Computing.
CoRR, 2019

Closing the Accuracy Gap in an Event-Based Visual Recognition Task.
CoRR, 2019

Reducing state updates via Gaussian-gated LSTMs.
CoRR, 2019

Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications.
IEEE Access, 2019

Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Live Demonstration: A Portable Microsensor Fusion System with Real-Time Measurement for On-Site Beverage Tasting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Incremental Learning Meets Reduced Precision Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Attention-driven Multi-sensor Selection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Audio classification systems using deep neural networks and an event-driven auditory sensor.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System.
Proceedings of the IEEE International Conference on Acoustics, 2019

Parameter Uncertainty for End-to-end Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data.
Proceedings of the 27th European Signal Processing Conference, 2019

FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

Fast event-driven incremental learning of hand symbols.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
A Neuromorphic VLSI Circuit for Spike-Based Random Sampling.
IEEE Trans. Emerg. Top. Comput., 2018

Hardware Implementation of an Event-Based Message Passing Graphical Model Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Overcoming the vanishing gradient problem in plain recurrent networks.
CoRR, 2018

Conversion of analog to spiking neural networks using sparse temporal coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

An event-driven probabilistic model of sound source localization using cochlea spikes.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Speaker Activity Detection and Minimum Variance Beamforming for Source Separation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Multi-channel Attention for End-to-End Speech Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

On Approximation of Bandlimited Functions with Compressed Sensing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017
Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence.
IEEE Trans. Neural Networks Learn. Syst., 2017

Analysis of Encoding Degradation in Spiking Sensors Due to Spike Delay Variation.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

DDD17: End-To-End DAVIS Driving Dataset.
CoRR, 2017

Sensor Transformation Attention Networks.
CoRR, 2017

WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform.
Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017

Live demonstration: Event-driven real-time spoken digit recognition system.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Delta Networks for Optimized Recurrent Network Computation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Impact of low-precision deep regression networks on single-channel source separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A curriculum learning method for improved noise robustness in automatic speech recognition.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
A 0.5 V 55 µW 64×2 Channel Binaural Silicon Cochlea for Event-Driven Stereo-Audio Sensing.
IEEE J. Solid State Circuits, 2016

Recurrent Neural Networks With Limited Numerical Precision.
CoRR, 2016

Precise deep neural network computation on imprecise low-power analog hardware.
CoRR, 2016

Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

22.5 A 0.5V 55µW 64×2-channel binaural silicon cochlea for event-driven stereo-audio sensing.
Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016

Effective sensor fusion with event-based sensors and deep network architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Combined frame- and event-based detection and tracking.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Event-driven deep neural network hardware system for sensor fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Live demonstration: Event-driven deep neural network hardware system for sensor fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Monaural Source Separation Using a Random Forest Classifier.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Temporal sequence recognition in a self-organizing recurrent network.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
1 kHz 2D Visual Motion Sensor Using 20, ×, 20 Silicon Retina Optical Sensor and DSP Microcontroller.
IEEE Trans. Biomed. Circuits Syst., 2015

Memory and Information Processing in Neuromorphic Systems.
Proc. IEEE, 2015

Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites.
Neural Comput., 2015

Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone.
Neural Comput., 2015

A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding.
IEEE J. Solid State Circuits, 2015

Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Current-mode automated quality control cochlear resonator for bird identity tagging.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Design of a spatiotemporal correlation filter for event-based sensors.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Design of an RGBW color VGA rolling and global shutter dynamic and active-pixel vision sensor.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Scene stitching with event-driven sensors on a robot head platform.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Event-based control system on FPGA applied to the pencil balancer robotic platform.
Proceedings of the International Conference on Event-based Control, 2015

2014
Neuromorphic Sensors, Cochlea.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator.
IEEE Trans. Very Large Scale Integr. Syst., 2014

Asynchronous Binaural Spatial Audition Sensor With 2 × 64 × 4 Channel Output.
IEEE Trans. Biomed. Circuits Syst., 2014

A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor.
IEEE J. Solid State Circuits, 2014

Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

1kHz 2D silicon retina motion sensor platform.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Improved margin multi-class classification using dendritic neurons with morphological learning.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Live demonstration: The "DAVIS" Dynamic and Active-Pixel Vision Sensor.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013
Active Processing of Spatio-Temporal Input Patterns in Silicon Dendrites.
IEEE Trans. Biomed. Circuits Syst., 2013

Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Fast neuromorphic sound localization for binaural hearing aids.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Addressable current reference array with 170dB dynamic range.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Real-time speaker identification using the AEREAR2 event-based silicon cochlea.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

A model of attention-driven scene analysis.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Two-Dimensional Configurable Active Silicon Dendritic Neuron Array.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

Mismatch reduction through dendritic nonlinearities in a 2D silicon dendritic neuron array.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Estimating the location of a sound source with a spike-timing localization algorithm.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010
Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites.
Neural Comput., 2010

Motion detection using an aVLSI network of spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

The use of spike-based representations for hardware audition systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Exploiting spike-based dynamics in a silicon cochlea for speaker identification.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Approaches and databases for online calibration of binaural sound localization for robotic heads.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Motion Detection Chips for Robotic Platforms.
Proceedings of the Flying Insects and Robots, 2010

2009
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 Trans. Neural Networks, 2009

Computation with Spikes in a Winner-Take-All Network.
Neural Comput., 2009

Periodicity Detection and Localization using Spike Timing from the AER EAR.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Input Evoked Nonlinearities in Silicon Dendritic Circuits.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Implementation of a Time-warping AER Mapper.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008
Quantification of a Spike-Based Winner-Take-All VLSI Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Steering with an aVLSI motion detection chip.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Temporally learning floating-gate VLSI synapses.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007
AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007

A Spike-Based Saccadic Recognition System.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Motion Detection Circuits for a Time-To-Travel Algorithm.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

AER Auditory Filtering and CPG for Robot Control.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Attentional Processing on a Spike-Based VLSI Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Programmable synaptic weights for an aVLSI network of spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Feature competition in a spike-based winner-take-all VLSI network.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Spike response properties of an AER EAR.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
Range estimation on a robot using neuromorphic motion sensors.
Robotics Auton. Syst., 2005


Spiking Inputs to a Winner-take-all Network.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

AER EAR: a matched silicon cochlea pair with address event representation interface.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Robot Guidance with Neuromorphic Motion Sensors.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

A Hardware/Software Framework for Real-Time Spiking Systems.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Temporal coding in a silicon network of integrate-and-fire neurons.
IEEE Trans. Neural Networks, 2004

Spike synchronization in a network of silicon integrate-and-fire neurons.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

A winner-take-all spiking network with spiking inputs.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

2003
Modeling Short-Term Synaptic Depression in Silicon.
Neural Comput., 2003

Analog VLSI Circuits for Short-Term Dynamic Synapses.
EURASIP J. Adv. Signal Process., 2003

A wide-field direction-selective aVLSI spiking neuron.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A silicon retina with controllable winner-take-all properties.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
Silicon synaptic adaptation mechanisms for homeostasis and contrast gain control.
IEEE Trans. Neural Networks, 2002

Circuit Model of Short-Term Synaptic Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks.
Proceedings of the Artificial Neural Networks, 2002

2001
Orientation-selective aVLSI spiking neurons.
Neural Networks, 2001

Fly-like visuomotor responses of a robot using aVLSI motion-sensitive chips.
Biol. Cybern., 2001

Orientation-Selective aVLSI Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Homeostasis in a Silicon Integrate and Fire Neuron.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
A Winner-Take-All Circuit with Controllable Soft Max Property.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997
Silicon Retina with Adaptive Filtering Properties.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1995
Adaptive Retina with Center-Surround Receptive Field.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Continuous-Time Adaptive Delay System.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1992
Dynamic wires: An alanog VLSI model for object-based processing.
Int. J. Comput. Vis., 1992

Object-Based Analog VLSI Vision Circuits.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1989
Generalized smoothing networks in early vision.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989


  Loading...