C. Lo

发表

Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks

Xiao-Jing Wang, C. Lo, 2006, Nature Neuroscience.

Common scale-invariant patterns of sleep-wake transitions across mammalian species.

H. Stanley, C. Lo, P. Ivanov, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Dynamics of sleep-wake transitions during sleep

L. Amaral, H. Stanley, C. Lo, 2001, cond-mat/0112280.

The Fruit Fly Brain Observatory: From Structure to Function

Nikul H. Ukani, Carlos Luna Ortiz, A. Chiang, 2019, bioRxiv.

Toward Whole-Body Connectomics

A. Chiang, C. Lo, 2016, The Journal of Neuroscience.

Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

C. Lo, Yi-Shiuan Liu, Chih-Yu Yang, 2021, Journal of medical Internet research.

Proactive Inhibitory Control and Attractor Dynamics in Countermanding Action: A Spiking Neural Circuit Model

Chung-Chuan Lo, Leanne Boucher, Jeffrey D Schall, 2009, The Journal of Neuroscience.

Top-Down Modulation on Perceptual Decision with Balanced Inhibition through Feedforward and Feedback Inhibitory Neurons

Chung-Chuan Lo, Xiao-Jing Wang, Cheng-Te Wang, 2013, PloS one.

15.4 A 22nm 2Mb ReRAM Compute-in-Memory Macro with 121-28TOPS/W for Multibit MAC Computing for Tiny AI Edge Devices

Meng-Fan Chang, Tzu-Hsiang Hsu, Wei-Chen Wei, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

Cleavage of human tau at Asp421 inhibits hyperphosphorylated tau induced pathology in a Drosophila model

C. Lo, Hui-yun Chang, Tzu-Kang Sang, 2020, Scientific Reports.

HDR luminance normalization via contextual facilitation in highly recurrent neuromorphic spiking networks

C. Hung, C. Lo, A. J. White, 2022, Defense + Commercial Sensing.

Quantification of Sleep Fragmentation Through the Analysis of Sleep-Stage Transitions

H. Stanley, C. Lo, P. Ivanov, 2003, cond-mat/0305660.

SYNAPSE: An international roadmap to large brain imaging

Ting-Kuo Lee, A. Chiang, C. Libedinsky, 2023, Physics Reports.

Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Xiao-Jing Wang, Chung-Chuan Lo, Cheng-Te Wang, 2015, Journal of neurophysiology.

Modulation of the Disturbed Motor Network in Dystonia by Multisession Suppression of Premotor Cortex

J. Rothwell, Ying-Zu Huang, C. Lo, 2012, PloS one.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Asymmetry and basic pathways in sleep-stage transitions

Chung-Chuan Lo, Ronny P Bartsch, C. Lo, 2013, Europhysics letters.

Coupled symmetric and asymmetric circuits underlying spatial orientation in fruit flies

Chung-Chuan Lo, Yu-Chi Huang, Cheng-Te Wang, 2017, Nature Communications.

The Topographical Mapping in Drosophila Central Complex Network and Its Signal Routing

Chung-Chuan Lo, Po-Yen Chang, Chi-Tin Shih, 2017, Front. Neuroinform..

Short term depression, presynaptic inhibition and local neuron diversity play key functional roles in the insect antennal lobe

Chung-Chuan Lo, Kuo-Wei Kao, C. Lo, 2020, Journal of Computational Neuroscience.

A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain

Chung-Chuan Lo, Ann-Shyn Chiang, Chao-Chun Chuang, 2018, bioRxiv.

Conflict Resolution as Near-Threshold Decision-Making: A Spiking Neural Circuit Model with Two-Stage Competition for Antisaccadic Task

Xiao-Jing Wang, Chung-Chuan Lo, Xiao-Jing Wang, 2016, PLoS Comput. Biol..

A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices

Yen-Cheng Chiu, Wei-Chen Wei, Ren-Shuo Liu, 2020, Nature Electronics.

15.5 A 28nm 64Kb 6T SRAM Computing-in-Memory Macro with 8b MAC Operation for AI Edge Chips

Meng-Fan Chang, Qiang Li, Tzu-Hsiang Hsu, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips

Shih-Chieh Chang, Meng-Fan Chang, Shanshi Huang, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices

C. Lo, W. Lo, Meng-Fan Chang, 2022, 2022 IEEE International Solid- State Circuits Conference (ISSCC).

An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices

Y. Chih, C. Lo, Meng-Fan Chang, 2022, 2022 IEEE International Solid- State Circuits Conference (ISSCC).

A Local Computing Cell and 6T SRAM-Based Computing-in-Memory Macro With 8-b MAC Operation for Edge AI Chips

Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, 2021, IEEE Journal of Solid-State Circuits.

24.1 A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors

Meng-Fan Chang, Yen-Cheng Chiu, Wei-Chen Wei, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices

Y. Chih, C. Lo, Meng-Fan Chang, 2020, Nature Electronics.

A 0.8V Intelligent Vision Sensor with Tiny Convolutional Neural Network and Programmable Weights Using Mixed-Mode Processing-in-Sensor Technique for Image Classification

C. Lo, Meng-Fan Chang, C. Hsieh, 2022, 2022 IEEE International Solid- State Circuits Conference (ISSCC).

A 0.5-V Real-Time Computational CMOS Image Sensor With Programmable Kernel for Feature Extraction

Meng-Fan Chang, Ren-Shuo Liu, Kea-Tiong Tang, 2021, IEEE Journal of Solid-State Circuits.

A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices

Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, 2021, 2021 IEEE International Solid- State Circuits Conference (ISSCC).

Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. elegans Movements by Neural Transmission Ability Through Connectome Databases

Bor-Sen Chen, Chung-Chuan Lo, Cheng-Wei Li, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Polarity-specific high-level information propagation in neural networks

Chung-Chuan Lo, Po-Yen Chang, Yen-Nan Lin, 2014, Front. Neuroinform..

A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices

Y. Chih, C. Lo, Meng-Fan Chang, 2021, Nature Electronics.

AI Edge Devices Using Computing-In-Memory and Processing-In-Sensor: From System to Device

Tzu-Hsiang Hsu, Yen-Cheng Chiu, Wei-Chen Wei, 2019, 2019 IEEE International Electron Devices Meeting (IEDM).

Considerations of Integrating Computing-In-Memory and Processing-In-Sensor into Convolutional Neural Network Accelerators for Low-Power Edge Devices

Meng-Fan Chang, Tzu-Hsiang Hsu, Yen-Cheng Chiu, 2019, 2019 Symposium on VLSI Technology.

SPIN: A Method of Skeleton-Based Polarity Identification for Neurons

C. Lo, Chao-Chun Chuang, Yen-Nan Lin, 2014, Neuroinformatics.

A plastic corticostriatal circuit model of adaptation in perceptual decision making

Chung-Chuan Lo, Pao-Yueh Hsiao, C. Lo, 2013, Front. Comput. Neurosci..

Coordination through Inhibition: Control of Stabilizing and Updating Circuits in Spatial Orientation Working Memory

Chung-Chuan Lo, Wei-Tse Kao, Hung-Hsiu Yen, 2019, eNeuro.

Autonomous Flying With Neuromorphic Sensing

F. D. Gregory, C. Hung, Y. Gutfreund, 2021, Frontiers in Neuroscience.

Robust sensorimotor control of human arm model under state-dependent noises, control-dependent noises and additive noises

Bor-Sen Chen, Chung-Chuan Lo, Cheng-Wei Li, 2015, Neurocomputing.

Identification of Neuronal Polarity by Node-Based Machine Learning

Chung-Chuan Lo, Kuan-Ting Chou, Daw-Wei Wang, 2020, Neuroinformatics.

Short term depression, presynaptic inhibition and local neuron diversity play key functional roles in the insect antennal lobe

C. Lo, Kuo-Wei Kao, 2020, Journal of Computational Neuroscience.

A Bio-Inspired Motion Detection Circuit Model for the Computation of Optical Flow: The Spatial-Temporal Filtering Reichardt Model

Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

A 22nm 832Kb Hybrid-Domain Floating-Point SRAM In-Memory-Compute Macro with 16.2-70.2TFLOPS/W for High-Accuracy AI-Edge Devices

C. Lo, W. Lo, Meng-Fan Chang, 2023, 2023 IEEE International Solid- State Circuits Conference (ISSCC).

Attractor Decision Networks with Selective Inhibition

C. Lo, Kuo-An Wu, Belle Liu, 2021 .

16.3 A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips

Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, 2021, 2021 IEEE International Solid- State Circuits Conference (ISSCC).

Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models

C. Lo, Hsuan-Pei Huang, Ning Chang, 2023, bioRxiv.

The Fruit Fly Brain Observatory: From Structure to Function

Chung-Chuan Lo, Daniel Coca, Aurel A. Lazar, 2016, bioRxiv.

A 0.8 V Multimode Vision Sensor for Motion and Saliency Detection With Ping-Pong PWM Pixel

Tzu-Hsiang Hsu, Chung-Chuan Lo, Ren-Shuo Liu, 2021, IEEE Journal of Solid-State Circuits.

A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations

Y. Chih, C. Lo, Chieh-Pu Lo, 2022, 2022 IEEE International Solid- State Circuits Conference (ISSCC).

8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices

Y. Chih, C. Lo, Meng-Fan Chang, 2023, IEEE Journal of Solid-State Circuits.

Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips

Xin Si, Shyh-Shyuan Sheu, Ting-Wei Chang, 2022, IEEE Journal of Solid-State Circuits.

A 0.5V Real-Time Computational CMOS Image Sensor with Programmable Kernel for Always-On Feature Extraction

Meng-Fan Chang, Wei-Chen Wei, Ren-Shuo Liu, 2019, 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC).

Choose carefully, act quickly: Efficient decision making with selective inhibition in attractor neural networks

C. Lo, Kuo-An Wu, Belle Liu, 2021, bioRxiv.

Neuromorphic luminance-edge contextual preprocessing of naturally obscured targets

C. Lo, A. White, Chou P. Hung, 2023, ICONS.

Models of cortico-basal ganglia circuits and synaptic plasticity for transcranial magnetic stimulation

Ying-Zu Huang, C. Lo, Yu-yang Yen, 2012, 2012 ICME International Conference on Complex Medical Engineering (CME).

A CMOS-integrated spintronic compute-in-memory macro for secure AI edge devices

Y. Chih, C. Lo, Chieh-Pu Lo, 2023, Nature Electronics.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Vito Paolo Pastore, Alfred B. Yu, Kelvin S. Oie, 2017, BMC Neuroscience.

POPPINS: A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons

Chung-Chuan Lo, Kea-Tiong Tang, Zuo-Wei Yeh, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Integer Quadratic Integrate-and-Fire (IQIF): A Neuron Model for Digital Neuromorphic Systems

Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Augmenting Flexibility: Mutual Inhibition Between Inhibitory Neurons Expands Functional Diversity

Alexander J. White, Chung-Chuan Lo, Belle Liu, 2020, bioRxiv.

An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips

C. Lo, C. Hsieh, K. Tang, 2024, IEEE Journal of Solid-State Circuits.

A Floating-Point 6T SRAM In-Memory-Compute Macro Using Hybrid-Domain Structure for Advanced AI Edge Chips

C. Lo, C. Hsieh, K. Tang, 2024, IEEE Journal of Solid-State Circuits.

A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips

C. Lo, W. Lo, Meng-Fan Chang, 2023, IEEE Journal of Solid-State Circuits.

Characterizing approach behavior of Drosophila melanogaster in Buridan’s paradigm

C. Lo, Rui Han, Tzu-Min Wei, 2021, PloS one.