{"doi":"10.1101/2021.05.18.444685","title":"Light-weight Electrophysiology Hardware and Software Platform for Cloud-Based Neural Recording Experiments","abstract":"Abstract Objective Neural activity represents a functional readout of neurons that is increasingly important to monitor in a wide range of experiments. Extracellular recordings have emerged as a powerful technique for measuring neural activity because these methods do not lead to the destruction or degradation of the cells being measured. Current approaches to electrophysiology have a low throughput of experiments due to manual supervision and expensive equipment. This bottleneck limits broader inferences that can be achieved with numerous long-term recorded samples. Approach We developed Piphys, an inexpensive open source neurophysiological recording platform that consists of both hardware and software. It is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols. Main Results We used a Raspberry Pi as the primary processing device and Intan bioamplifier. We designed a hardware expansion circuit board and software to enable voltage sampling and user interaction. This standalone system was validated with primary human neurons, showing reliability in collecting real-time neural activity. Significance The hardware modules and cloud software allow for remote control of neural recording experiments as well as horizontal scalability, enabling long-term observations of development, organization, and neural activity at scale.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2021,"id":216582,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9501,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":732548,"name":"Jinghui Geng","orcid":"0000-0002-3431-9568","position":1,"is_corresponding":false},{"id":269939,"name":"Matthew G. Keefe","orcid":"0000-0002-2477-2975","position":2,"is_corresponding":false},{"id":732549,"name":"David F. Parks","orcid":"0000-0002-4635-8206","position":3,"is_corresponding":false},{"id":733218,"name":"Sebastian E. Sanso","orcid":null,"position":4,"is_corresponding":false},{"id":733219,"name":"Nico Hawthorne","orcid":null,"position":5,"is_corresponding":false},{"id":732550,"name":"Daniel B. Freeman","orcid":"0000-0001-9938-3897","position":6,"is_corresponding":false},{"id":228390,"name":"Mohammed A. Mostajo-Radji","orcid":"0000-0002-1634-7514","position":7,"is_corresponding":false},{"id":21360,"name":"Tomasz J. Nowakowski","orcid":"0000-0003-2345-4964","position":8,"is_corresponding":false},{"id":89178,"name":"Sofie R. Salama","orcid":"0000-0001-6999-7193","position":9,"is_corresponding":false},{"id":671936,"name":"Mircea Teodorescu","orcid":"0000-0001-7085-5248","position":10,"is_corresponding":false},{"id":109463,"name":"David Haussler","orcid":"0000-0003-1533-4575","position":11,"is_corresponding":false},{"id":671931,"name":"Kateryna Voitiuk","orcid":"0000-0002-6392-5188","position":0,"is_corresponding":true}],"reference_count":47,"raw_metadata":null,"created_at":"2026-07-18T23:53:11.245932Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}