Mayo Faulkner

ORCID: 0000-0001-5427-0282
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About
Contact & Profiles
Research Areas
  • Electrical and Bioimpedance Tomography
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neuroscience and Neuropharmacology Research
  • Microfluidic and Bio-sensing Technologies
  • Hemodynamic Monitoring and Therapy
  • Flow Measurement and Analysis
  • Photoreceptor and optogenetics research
  • Receptor Mechanisms and Signaling
  • Memory and Neural Mechanisms
  • Olfactory and Sensory Function Studies
  • Animal testing and alternatives
  • Neuroendocrine regulation and behavior
  • Stress Responses and Cortisol
  • Electrochemical Analysis and Applications
  • Scientific Computing and Data Management
  • Zebrafish Biomedical Research Applications
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Human Pose and Action Recognition
  • Visual perception and processing mechanisms
  • Cognitive Science and Mapping
  • Analytical Chemistry and Sensors
  • Geophysical and Geoelectrical Methods

University College London
2016-2025

Wolfson Foundation
2020-2021

Cranfield University
1994

Progress in science requires standardized assays whose results can be readily shared, compared, and reproduced across laboratories. Reproducibility, however, has been a concern neuroscience, particularly for measurements of mouse behavior. Here, we show that task to probe decision-making mice produces reproducible multiple We adopted head-fixed perceptual value-based decision making, training protocol experimental hardware, software, procedures. trained 140 seven laboratories three...

10.7554/elife.63711 article EN cc-by eLife 2021-05-19

Abstract A key challenge in neuroscience is understanding how neurons hundreds of interconnected brain regions integrate sensory inputs with prior expectations to initiate movements. It has proven difficult meet this when different laboratories apply analyses recordings during behaviours. Here, we report a comprehensive set from 115 mice 11 labs performing decision-making task sensory, motor, and cognitive components, obtained 547 Neuropixels probe insertions covering 267 areas the left...

10.1101/2023.07.04.547681 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-07-04

The neural representations of prior information about the state world are poorly understood. To investigate them, we examined brain-wide Neuropixels recordings and widefield calcium imaging collected by International Brain Laboratory. Mice were trained to indicate location a visual grating stimulus, which appeared on left or right with probability alternating between 0.2 0.8 in blocks variable length. We found that mice estimate this thereby improve their decision accuracy. Furthermore,...

10.1101/2023.07.04.547684 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-07-04
Dan Biderman Matthew R Whiteway Cole Hurwitz Nicholas Greenspan Robert S. Lee and 95 more Ankit Vishnubhotla Richard Warren Federico Pedraja Dillon Noone Michael Schartner Julia M. Huntenburg Anup Khanal Guido T. Meijer Jean‐Paul Noel Alejandro Pan-Vazquez Karolina Socha Anne E. Urai Larry Abbot Luigi Acerbi Valeria Aguillon-Rodriguez Mandana Ahmadi Jaweria Amjad Dora E. Angelaki Jaime Arlandis Zoe C. Ashwood Kush Banga Hailey Barrell H Bayer Brandon Benson Julius Benson Jai Bhagat Dan Birman Niccolò Bonacchi Kcénia Bougrova Julien Boussard Sebastian A. Bruijns E. Kelly Buchanan Robert A. A. Campbell Matteo Carandini Joana Catarino Fanny Cazettes Gaëlle Chapuis Anne K. Churchland Yang Dan M. Felicia Davatolhagh Peter Dayan Sophie Denève Eric DeWitt Ling Liang Dong Tatiana A. Engel Michele Fabbri Mayo Faulkner Robert N. Fetcho Ila Fiete Charles Findling Laura Freitas-Silva Surya Ganguli Berk Gerçek Naureen Ghani Ivan Gordeli Laura Haetzel Kenneth D. Harris Michael Häusser Naoki Hiratani Sonja B. Hofer Fei Hu Felix Huber Cole Hurwitz Anup Khanal Christopher Krasniak Sanjukta Krishnagopal Michael Krumin Debottam Kundu Agnès Landemard Christopher Langdon Christopher Langfield Inês C. Laranjeira Peter E. Latham Petrina Lau Hyun Dong Lee Ari Liu Zachary F. Mainen Amalia Makri-Cottington Hernando Martinez-Vergara Brenna McMannon Isaiah McRoberts Guido T. Meijer Maxwell Melin Leenoy Meshulam Kim Miller Nathaniel J Miska Catalin Mitelut Zeinab Mohammadi Thomas D. Mrsic‐Flogel Masayoshi Murakami Jean‐Paul Noel Kai Nylund Farideh Oloomi Alejandro Pan-Vazquez Liam Paninski

10.1038/s41592-024-02319-1 article EN Nature Methods 2024-06-25

A highly versatile Electrical Impedance Tomography (EIT) system, nicknamed the ScouseTom, has been developed. The system allows control over current amplitude, frequency, number of electrodes, injection protocol and data processing. Current is injected using a Keithley 6221 source, voltages are recorded with 24-bit EEG minimum bandwidth 3.2 kHz. Custom PCBs interface PC to measurement process, electrode addressing triggering external stimuli. performance was characterised resistor phantoms...

10.3390/s17020280 article EN cc-by Sensors 2017-01-31

Recently developed probes for extracellular electrophysiological recordings have large numbers of electrodes on long linear shanks. Linear electrode arrays, such as Neuropixels probes, hundreds recording distributed over shanks that span several millimeters. Because the length probe in rodents usually cover multiple brain areas. Typical studies collate across sessions and animals. Neurons recorded different animals thus to be aligned each other a standardized coordinate system. Here, we...

10.1523/eneuro.0241-21.2021 article EN cc-by-nc-sa eNeuro 2021-10-25

Abstract Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within context electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using shared, open-source behavioral task and experimental apparatus. Experimenters in ten laboratories repeatedly targeted Neuropixels probes to same location (spanning secondary visual...

10.1101/2022.05.09.491042 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-05-09

Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within context electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using shared, open-source behavioral task and experimental apparatus. Experimenters in ten laboratories repeatedly targeted Neuropixels probes to same location (spanning secondary visual areas,...

10.7554/elife.100840.2 preprint EN 2025-03-14

Imaging ictal and interictal activity with Electrical Impedance Tomography (EIT) using intracranial electrode mats has been demonstrated in animal models of epilepsy. In human epilepsy subjects undergoing presurgical evaluation, depth electrodes are often preferred. The purpose this work was to evaluate the feasibility EIT localise epileptogenic areas humans. accuracy localisation onset zone evaluated computer simulations 9M element FEM derived from three subjects. 5 mm radius perturbations...

10.1016/j.neuroimage.2018.02.056 article EN cc-by NeuroImage 2018-02-27

Progress in science requires standardized assays whose results can be readily shared, compared, and reproduced across laboratories. Reproducibility, however, has been a concern neuroscience, particularly for measurements of mouse behavior. Here we show that task to probe decision-making mice produces reproducible multiple We designed head-fixed combines established perceptual value-based decision making, training protocol experimental hardware, software, procedures. trained 140 seven...

10.1101/2020.01.17.909838 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-01-17

Electrical Impedance Tomography (EIT) is an emerging technique which has been used to image evoked activity during whisker displacement in the cortex of anaesthetised rat with a spatiotemporal resolution 200 μm and 2 ms. The aim this work was extend EIT not only from but also deeper structures active somatosensory processing, specifically ventral posterolateral (VPL) nucleus thalamus. direct response VPL following Hz forepaw stimulation were quantified using 57-channel epicortical electrode...

10.1016/j.neuroimage.2018.05.022 article EN cc-by NeuroImage 2018-05-10

Electrical Impedance Tomography (EIT) is an emerging medical imaging technique which can produce tomographic images of internal impedance changes within object using non-penetrating surface electrodes. It has previously been used to image due neuronal depolarisation during evoked potentials in the rat somatosensory cortex with a resolution 2 ms and <200 μm, epicortical electrode array. The purpose this work was use elucidate intracortical spatiotemporal trajectory ictal spike-and-wave...

10.1016/j.nicl.2018.09.004 article EN cc-by NeuroImage Clinical 2018-01-01

Electrical impedance tomography (EIT) is a medical imaging technique which reconstructs images of the internal changes within an object using non-penetrating surface electrodes. To date, EIT has been used to image fast neural during somatosensory evoked potentials and epileptiform discharges through rat cerebral cortex with resolution 2 ​ms <300 ​μm. However, activity in subcortical structures never achieved this technique. Here, we evaluated feasibility hippocampus electrodes implanted on...

10.1016/j.neuroimage.2020.116525 article EN cc-by-nc-nd NeuroImage 2020-01-08
Luigi Acerbi Valeria Aguillon-Rodriguez Mandana Ahmadi Jaweria Amjad Dora E. Angelaki and 95 more Jaime Arlandis Zoe C. Ashwood Kush Banga Hailey Barrell H Bayer Julius Benson Brandon Benson Jai Bhagat Daniel Birman Kcénia Bougrova Julien Boussard Sebastian A. Bruijns Matteo Carandini Joana Catarino Fanny Cazettes Yang Dan Felicia Davatolagh Peter Dayan Sophie Denève Ling Liang Dong Tatiana A. Engel Michele Fabbri Ila Fiete Charles Findling Laura Freitas-Silva Surya Ganguli Berk Gerçek Naureen Ghani Ivan Gordeli Laura Haetzel Michael Häusser Naoki Hiratani Sonja B. Hofer Fei Hu Felix Huber Cole Hurwitz Anup Khanal Christopher Krasniak Sanjukta Krishnagopal Michael Krumin Christopher Langdon Peter E. Latham Petrina Lau Hyun Lee Ari Liu Zachary F. Mainen Hernando M. Vergara Conor Mcgrory Brenna McMannon Guido T. Meijer Maxwell Melin Leenoy Meshulam Nathaniel J Miska Catalin Mitelut Zeinab Mohammadi Thomas D. Mrsic‐Flogel Masayoshi Murakami Jean‐Paul Noel Kai Nylund Alex Pan Vazquez Liam Paninski Alberto Pezzotta Samuel Picard Jonathan W. Pillow Alexandre Pouget Noam Roth Nicholas Roy Kamron Saniee Rylan Schaeffer Yan-Liang Shi Karolina Socha Cristian Soitu Karel Svoboda Marsa Taheri Charline Tessereau Anne E. Urai Erdem. Varol Miles J. Wells Matthew R Whiteway Charles Windolf Ilana B. Witten Lauren E Wool Anthony M. Zador Niccolò Bonacchi Gaëlle Chapuis Anne K. Churchland Eric DeWitt Mayo Faulkner Kenneth D. Harris Julia M. Huntenburg Max Hunter Inês C. Laranjeira Cyrille Rossant Maho Sasaki Michael Schartner

10.1038/s41592-022-01742-6 article EN Nature Methods 2023-03-01

Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within context electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using shared, open-source behavioral task and experimental apparatus. Experimenters in ten laboratories repeatedly targeted Neuropixels probes to same location (spanning secondary visual areas,...

10.7554/elife.100840.1 preprint EN 2024-10-31

Head imaging with electrical impedance tomography (EIT) is usually done time-differential measurements, to reduce time-invariant modelling errors. Previous research suggested that more accurate head models improved image quality, but no thorough analysis has been on the required accuracy. We propose a novel pipeline for creation of precise meshes from magnetic resonance and computed scans, which was applied four different heads. Voltages were simulated all heads perturbations magnitude,...

10.1088/0967-3334/37/6/879 article EN cc-by Physiological Measurement 2016-05-20

Electrical impedance tomography (EIT) can image changes associated with evoked physiological activity in the cerebral cortex using an array of epicortical electrodes. An change is observed as externally applied current, normally confined to extracellular space admitted into conducting intracellular during neuronal depolarisation. The response largest at DC and decreases higher frequencies due capacitative transfer current across membrane. Biophysical modelling has shown that this effect...

10.1088/1361-6579/aab01f article EN cc-by Physiological Measurement 2018-02-16

Electrical impedance tomography (EIT) is an imaging technique that produces tomographic images of internal changes within object using surface electrodes. It can be used to image the slow increase in cerebral tissue occurs over seconds during epileptic seizures, which attributed cell swelling due disturbances ion homeostasis following hypersynchronous neuronal firing and its associated metabolic demands. In this study, we characterised imaged response neocortical hippocampal epileptiform...

10.1088/1361-6579/abd67a article EN cc-by Physiological Measurement 2020-12-23

Objective. Electrical impedance tomography has the potential to image fast neural activity associated with physiological or epileptic throughout brain. These applications pose a particular challenge as expected voltage changes on electrodes are less than 1% and geometrical constraints of body under investigation mean that can not be evenly distributed around its boundary. Unlike other applications, however, information regarding location is typically available. An informative method for...

10.1088/1361-6579/aa69d7 article EN cc-by Physiological Measurement 2017-03-29

Objective: Methods have previously been reported for simultaneous EIT and EEG recording, but these relied on post-hoc signal processing to remove switching artefacts from the require dedicated hardware filters use of separate electrodes. This work aims demonstrate that an uncorrupted can be collected simultaneously with data by using frequency division multiplexing (FDM), show provides useful information when compared source localisation. Approach: A custom FDM current was created evaluated...

10.1088/1361-6579/ab0bbc article EN cc-by Physiological Measurement 2019-03-01

Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within context electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using shared, open-source behavioral task and experimental apparatus. Experimenters in ten laboratories repeatedly targeted Neuropixels probes to same location (spanning secondary visual areas,...

10.7554/elife.100840 preprint EN 2024-10-31

Electrical impedance tomography (EIT) can be used to image changes associated with epileptiform activity and so holds therapeutic potential for improving presurgical localisation of the ictal onset zone in patients treatment-resistant epilepsy. There are two principal which occur during seizures that may imaged EIT: (a) a fast, transient decrease over milliseconds due hypersynchronous neuronal depolarisation individual discharges; (b) larger, slow increase caused by cell swelling course...

10.1088/1361-6579/aad5f4 article EN cc-by Physiological Measurement 2018-07-26

Electrical impedance tomography (EIT) can be used to image changes which arise due fast electrical activity during neuronal depolarisation and so holds therapeutic potential for improving the localisation of epileptic seizure foci in patients with treatment-resistant epilepsy aid surgical resection epileptogenic tissue. Prolonged cortical stimulation may, however, induce neural injury through excitotoxicity electrochemical reactions at tissue-electrode interface. The purpose this work was...

10.1088/1361-6579/ab0d53 article EN cc-by Physiological Measurement 2019-03-06
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