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Rhd usb interface board

Manufactured by Intan Technologies
Sourced in United States

The RHD USB interface board is a digital data acquisition device designed to interface with various types of laboratory equipment. It provides a USB connection for data transfer and communication between the connected devices and a host computer. The core function of the RHD USB interface board is to facilitate the seamless transfer of data from the connected equipment to the computer for further analysis and processing.

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9 protocols using rhd usb interface board

1

Extracellular Voltage Recordings in dCA1 and vCA1

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Extracellular voltage recordings were performed using an open source microfabricated silicon electrode array [106 (link),107 (link)] comprised of 128 recording channels spread across four shanks, each of which was spaced 50 μm apart. The probes were coated with a fluorescent dye (Alexa Fluor, Thermo Fisher Scientific, Waltham, MA) and connected to an Intan RHD 128-channel headstage and RHD USB interface board (Intan Technologies, Los Angeles, CA).
After the recovery period, animals were head-fixed into the run-wheel in the virtual reality rig. The electrode array was placed on a stereotactic frame and guided to the location of the craniotomies. For dCA1, the probe was lowered 1–1.2 mm from the brain surface and for vCA1, the probe was lowered 4–4.2 mm from the brain surface. Two days of recordings were performed for each mouse. For most animals, each day of recording comprised of one 1-2h session in dCA1 and one 1-2h session in vCA1. Signals were acquired at 30kHz in the 0.1–3500 Hz frequency band.
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2

High-Density Cortical Recordings in Awake Mice

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We used linear silicon probes to perform high-density recordings of local field potentials (LFPs) and firing activity across all cortical layers in a head-fixed, unanesthetized mouse at p25, while monitoring the arousal state of the animal. The behavioral/arousal state of the animal was monitored through facial movements, pupil diameters, and locomotion on a treadmill. Animals were recorded at P25. Visual responses were evoked by presenting visual stimuli consisting of 20 degree visual angle, circular, drifting gratings of varying orientations and contrasts, directions, temporal frequency and size. Visual stimuli lasted 2 seconds with 1.5 seconds between trials and each unique grating was presented for 100 repetitions in a randomized order. Visual stimulation was controlled using Pyschtoolbox and custom written Matlab code and data was acquired using an Intan RHD USB interface board and an FLIR Blackfly camera for electrophysiology and video data, respectively.
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3

In vivo RF Stimulation Electrophysiology

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After the implantation of the probe in the acute surgery, the animal was placed inside a TEM cell and the depth of the silicon probe was fine-tuned using the micro-drive. Once the target depth (4 mm from surface of the brain) was reached, we waited at least 30 minutes before data collection. We recorded 30 min pre-stimulation baseline, 300 trials of intermittent RF stimulation (three different intensities were applied at 950 MHz, 5.4, 8.9 and 37.5 W, respectively; 3 s RF-ON was followed by 3 s RF-OFF epoch for each intensity) and 30 min post-stimulation baseline. The recorded signals (n = 64 channels) were amplified and stored after digitization at 20 kHz sampling rate per channel (RHD USB Interface Board, Intan Technologies). After the experiment, the silicon probe was recovered and cleaned in distilled water. Animals were humanely euthanized after the end of the post-surgery experiments.
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4

Surgical Implantation of Silicon Probes

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The following instructions cover surgeries in both rats and mice, with differences highlighted. Prior to surgery, prepare the 3D printed cap, the microdrive(s), the implantation tool and attach a silicon probe to the microdrive (as described above).
We recommend measuring the impedance of the silicon probe before implantation using the RHD USB interface board from Intan (Intan Technologies LLC, CA, USA). Lower the probe into 0.9% saline and ground the saline to the recording preamplifier ground. Connect the probe to an Intan preamplifier headstage (RHD 32- or 64-channel recording headstages) and to the main Intan board to perform the impedance test measurement at 1 kHz frequency. This measurement provides a quick and rough estimate about the quality of the recording sites. If higher precision is required, users can perform impedance measurement with a nanoZ device following the manufacturers recommendation (nanoZ Impedance Tester, Plexon Inc, TX, USA).
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5

Integrated Epidermal Sensing System

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The integrated epidermal sensing system was composed of four channels of epidermal sensing electrodes. Each channel has three 1 cm electrodes spaced 2.7 cm apart. The epidermal sensing device was attached to the forearm with sensing electrodes along the key muscles. All channels were conditioned with an Intan RHD2000 amplifier and simultaneously sampled at 5 kHz with an Intan RHD USB interface board.
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6

Recording of High-Density ECoG Signals

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A 128-channel amplifier head stage (RHD 128-Channel Recording Headstage, Intan Technologies, LLC.) was connected to the eSee-Shell after head fixation through the custom adapter PCB. The head stage was connected to an interface board (RHD USB interface board, Intan Technologies, LLC.). ECoGs were high-pass filtered with a 0.7 Hz cut-off frequency and recorded at 20 kHz.
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7

Optogenetic Manipulation of Sleep-Wake Circuits

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The SI Appendix includes detailed methods. DBH-Cre mice and TH-Cre mice were used. All of the procedures were approved by Institutional Animal Care and Use Committees of the University of Pennsylvania and were done in accordance with the federal regulations and guidelines on animal experimentation (National Institutes of Health Offices of Laboratory Animal Welfare Policy). For sleep recordings, EEG and EMG signals were recorded using an RHD2132 amplifier (Intan Technologies) connected to the RHD USB Interface Board (Intan Technologies). For fiber photometry, we used a Tucker-Davis Technologies RZ5P amplifier. For optogenetic stimulation, light pulses were generated by a blue laser (473nm, Laserglow) and sent through the optic fiber (ThorLabs) that connects to the ferrule on the mouse head. At the end of the experiment, mice were deeply anesthetized and transcardially perfused with phosphate-buffered saline (PBS) followed by 4% paraformaldehyde in PBS for subsequent histology to confirm virus expression and optic fiber placement.
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8

Multimodal Neural Activity Recording in Freely Moving Birds

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Neural activity of freely moving birds was recorded using an electrically assisted commutator (Doric Lenses) and the RHD USB Interface Board or RHD Recording Controller (Intan Technologies). Vocalizations were recorded using an omnidirectional microphone (Audio-Technica) and a preamplifier (Presonus). Antidromic stimulation was applied using biphasic current pulses of 20 μs duration and amplitudes between 20–500 μA. To help characterize cell types (Figure S1), we also reanalyzed a previously reported data set of identified HVC neurons (Lynch et al., 2016 (link); Okubo et al., 2015 (link)).
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9

Real-Time Neuroelectrophysiology Data Acquisition

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To set up the system, the main controller was implemented using the Matlab software (MathWorks, Natick, Massachusetts, USA) for real-time control of the recording system and real-time signal processing. Two RHD 16-channel recording headstages (Part #C3334, Intan Technologies, LLC., Los Angeles, California, USA) were connected to each left and right recording site. Each headstage was connected by an ultra-thin SPI cable (1.8 m, Part #C3216, Intan Technologies, LLC., Part #C3334, Los Angeles, California, USA) to the neural signal recording system RHD USB Interface Board (Intan Technologies, LLC., Part #C3334, Los Angeles, California, USA). The acquired neural signal was sampled at a frequency of 10 kHz and bandpass filtered in the range of 0.1–250 Hz. ECoG data was downsampled to 500 Hz and a fast Fourier transform (FFT) was conducted every 300 ms. The RHD MATLAB toolbox and Matlab were used on a 64-bit Windows 7 operating system for the BMI task.
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