Abstract
The comprehension of brain activity presents significant challenges in the field of neuroscience. Contrary to spikes, Local Field Potentials (LFPs) present improved stability acquisition in chronic implant scenarios and potential reductions in sampling and processing rates. While existing electrophysiology acquisition systems focus predominantly on spike detection and sorting, there is a lack of real-time tools for exploiting LFPs. To address this gap, we present a Resistive-RAM (RRAM) based approach to process LFP traces. Our method follows an improved Memristive Integrating Sensor (MIS) protocol to effectively detect LFP events recorded from the deep-brain of an awake rat, while externally stimulated by a tone. Experimental results demonstrate the feasibility of real-time neural activity processing, offering insights into detecting meaningful external stimuli and facilitating efficient neural state estimation.
Original language | English |
---|---|
Title of host publication | BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350300260 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 - Toronto, Canada Duration: 19 Oct 2023 → 21 Oct 2023 |
Publication series
Name | BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings |
---|
Conference
Conference | 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 |
---|---|
Country/Territory | Canada |
City | Toronto |
Period | 19/10/23 → 21/10/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Funding
This work has been supported by the UK Engineering and Physical Sciences Research Council grant EP/R024642/1 (FORTE) and the EU commission H2020 programme no. 824165 (SYNCH).
Funders | Funder number |
---|---|
EU commission H2020 | 824165 |
Engineering and Physical Sciences Research Council | EP/R024642/1 |
Forskningsrådet om Hälsa, Arbetsliv och Välfärd |
Keywords
- RRAM
- bio-signal processing
- edge processing
- local field potential (LFP)
- memristor
- real-time detection