33.4 A Multi-Loop Neuromodulation Chipset Network with Frequency-Interleaving Front-End and Explainable AI for Memory Studies in Freely Behaving Monkeys

Yuhan Hou, Yi Zhu, Xiao Wu, Yinfei Li, Timothy Lucas, Andrew Richardson, Xilin Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Alzheimer's disease (AD), a common cause of dementia, affects over 30 million people worldwide and accounts for more than 1% of the global GDP [1]. Given that age is a significant risk factor, the number of AD patients is projected to double in the next two decades. While there is currently no cure for AD, increasing evidence suggests that electrical brain stimulation is a potential treatment [2]. The hippocampus (HC) is a critical brain region that exhibits specific rhythmic neural activities during memory encoding and consolidation. In-phase stimulation has the potential to entrain and amplify these rhythms, thereby enhancing memory formation and retrieval. Consequently, innovative stimulation protocols are being developed to treat AD by modulating the HC and its associated brain regions.

Original languageEnglish
Title of host publication2024 IEEE International Solid-State Circuits Conference, ISSCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-550
Number of pages3
ISBN (Electronic)9798350306200
DOIs
StatePublished - 2024
Event2024 IEEE International Solid-State Circuits Conference, ISSCC 2024 - San Francisco, United States
Duration: Feb 18 2024Feb 22 2024

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
ISSN (Print)0193-6530

Conference

Conference2024 IEEE International Solid-State Circuits Conference, ISSCC 2024
Country/TerritoryUnited States
CitySan Francisco
Period02/18/2402/22/24

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