Andrew Richardson

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Research Assistant Professor

University of Pennsylvania

United States

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Andrew Richardson is a Research Assistant Professor at the University of Pennsylvania, USA. His research focuses on neural dynamics, bioelectronic interfaces, and neurostimulation, as evidenced by his recent publications exploring topics such as anticipatory processes in human response times and innovative microelectrode technologies. Dr. Richardson's work aims to advance our understanding of neural systems through multimodal mapping and implantable devices.

Recent Grants

Grant: Close

The role of dynamical criticality in human perception

Open Date: 2020-06-15

Close Date: 2025-03-31

Grant: Close

An implantable wireless tactile feedback system

Open Date: 2019-05-01

Close Date: 2023-03-31

Grant: Close

A wireless sensor-brain interface to restore finger sensation

Open Date: 2014-09-15

Close Date: 2017-08-31

Articles (14)

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2025

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2021

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2021

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2021

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2021

Collaborators (5)

Sneha Shankar

University of Pennsylvania

UNITED STATES

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Vivek Buch

Stanford University

UNITED STATES

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Xilin Liu

University of Toronto

CANADA

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Philipp Gutruf

University of Arizona

UNITED STATES

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Mark G. Allen

University of Pennsylvania

UNITED STATES

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Andrew Richardson

Research Interests

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About

Recent Grants

Articles (14)

Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics

Human response times are governed by dual anticipatory processes with distinct neural signatures.

Dichotomous frequency-dependent phase synchrony in the sensorimotor network characterizes simplistic movement.

An implantable, wireless, battery-free system for tactile pressure sensing

Vitamin C-reduced graphene oxide improves the performance and stability of multimodal neural microelectrodes.

Cortical Stimulation Paired With Volitional Unimanual Movement Affects Interhemispheric Communication.

Wireless, battery-free, and fully implantable electrical neurostimulation in freely moving rodents

A System-on-Chip for Closed-loop Optogenetic Sleep Modulation.

MXene-infused bioelectronic interfaces for multiscale electrophysiology and stimulation.

A Wireless Artificial Mechanoreceptor in 180-nm CMOS

An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording

Edge deep learning for neural implants: a case study of seizure detection and prediction.

A 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting

A Fully Integrated Sensor-Brain–Machine Interface System for Restoring Somatosensation

Collaborators (5)

Sneha Shankar

Vivek Buch

Xilin Liu

Philipp Gutruf

Mark G. Allen

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