Andrew G. Richardson

Orcid: 0000-0002-4752-3867

Affiliations:
  • University of Pennsylvania, Department of Neurosurgery, Philadelphia, PA, USA
  • University of Washington, Department of Physiology and Biophysics, Seattle, WA, USA


According to our database1, Andrew G. Richardson authored at least 30 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Wireless Sensor-Brain Interface System for Tracking and Guiding Animal Behaviors Through Closed-Loop Neuromodulation in Water Mazes.
IEEE J. Solid State Circuits, April, 2024

33.4 A Multi-Loop Neuromodulation Chipset Network with Frequency-Interleaving Front-End and Explainable AI for Memory Studies in Freely Behaving Monkeys.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

17.10 A 0.4V, 750nW, Individually Accessible Wireless Capacitive Sensor Interface IC for a Tactile Sensing Network.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023
A Wireless Sensor-Brain Interface System for Tracking and Guiding Animal Behaviors Through Goal-Directed Closed-loop Neuromodulation.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Modeling current-distance effects on microstimulation sensitivity.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Design of a Sleep Modulation System with FPGA-Accelerated Deep Learning for Closed-loop Stage-Specific In-Phase Auditory Stimulation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Design of a Real-Time Movement Decomposition-Based Rodent Tracker and Behavioral Analyzer Based on FPGA.
IEEE Trans. Very Large Scale Integr. Syst., 2022

2021
A 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting.
IEEE Trans. Biomed. Circuits Syst., 2021

An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

A System-on-Chip for Closed-loop Optogenetic Sleep Modulation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation.
CoRR, 2020

An Energy-efficient Wireless Neural Recording System with Compressed Sensing and Encryption.
CoRR, 2020

2019
Wireless Sensor Brain Machine Interfaces for Closed-loop Neuroscience Studies.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2017
The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs, 2017

Design of a Closed-Loop, Bidirectional Brain Machine Interface System With Energy Efficient Neural Feature Extraction and PID Control.
IEEE Trans. Biomed. Circuits Syst., 2017

A fully integrated wireless sensor-brain interface system to restore finger sensation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A wireless neuroprosthetic for augmenting perception through modulated electrical stimulation of somatosensory cortex.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface.
IEEE Trans. Biomed. Circuits Syst., 2016

Somatosensory encoding with cuneate nucleus microstimulation: Detection of artificial stimuli.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
The PennBMBI: Design of a General Purpose Wireless Brain-Machine-Brain Interface System.
IEEE Trans. Biomed. Circuits Syst., 2015

Somatosensory encoding with cuneate nucleus microstimulation: Effects on downstream cortical activity.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Design of a low power impulse-radio ultra-wide band wireless electrogoniometer.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Design of a low-noise, high power efficiency neural recording front-end with an integrated real-time compressed sensing unit.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

A 12-channel bidirectional neural interface chip with integrated channel-level feature extraction and PID controller for closed-loop operation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
The PennBMBI: A general purpose wireless Brain-Machine-Brain Interface system for unrestrained animals.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Design of a net-zero charge neural stimulator with feedback control.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2011
A Low-Power ECoG/EEG Processing IC With Integrated Multiband Energy Extractor.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

2010
Encoding of brain state changes in local field potentials modulated by motor behaviors.
J. Comput. Neurosci., 2010

Application of matched filtering to identify behavioral modulation of brain oscillations.
J. Comput. Neurosci., 2010

A low-power multi-band ECoG/EEG interface IC.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2010


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