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Ni bnc 2110

Manufactured by National Instruments
Sourced in United States

The NI BNC-2110 is a data acquisition interface device that provides connectivity between National Instruments hardware and external signals. It features BNC connectors for analog input and output channels, digital I/O lines, and timing/triggering signals. The NI BNC-2110 is designed to integrate with National Instruments' data acquisition and control systems.

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4 protocols using ni bnc 2110

1

Optogenetic Gamma Oscillation Induction

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Optogenetic stimulation was used to measure evoked EEG power in the gamma frequency band. The computer’s digital signal was converted into an analog signal for optogenetic stimulation, through a NI-DAQ (NI PCIe-6363; NI BNC-2110, National Instruments, Austin, TX, USA). To drive the laser light stimulation, a simultaneous input was provided to a 473 nm DPSS Laser (Cat. No. 21-01311-05, CNI Laser, Changchun, China). The laser and an optical fiber on the head of a mouse were connected through a mono fiber patch cord (MFP_2m_FC-ZF1.25; 0.22 NA, 200 µm core, Doric Lenses, Quebec, QC, Canada). Using WinWCP software, we made a stimulation protocol. To trigger a gamma signal at 40 Hz, a pulse occurs every 25 ms for 0.5 s, and each pulse has a duration of 10 ms. There were 0.5 s of rest time before and after the stimulation periods. Our protocol gave 200 trains using this 1.5 s train (0.5 s pre-stimulation, 0.5 s stimulation, 0.5 s post-stimulation).
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2

Optogenetic and Mechanical Hindpaw Stimulation

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All plantar hindpaw optogenetic stimulation experiments were performed using 470 nm light-emitting diode (LED) (M470F3, ThorLabs Inc.) controlled using an LED driver (LEDD1B, ThorLabs Inc.). Light was delivered to the plantar hindpaw using an optical fiber. The stimulated hindpaw was covered with the black aluminum foil to minimize light propagation beyond the stimulation target. The cannula of the optical fiber was glued using epoxy to the piezo-electric plate bender (CMBP09, Noliac Inc.) to allow interleaved mechanical and optical stimulation trials. The mechanical stimulation was done by poking the animal’s plantar hindpaw with the optical fiber’s cannula by actuating the piezo-electric plate bender via an amplifier. An example of the stimulation waveform parameters is shown in Fig. 6b.
Imaging and opto-mechanical stimulation were controlled and synchronized using either an OpenEphys or National Instruments (NI BNC-2110, NI PCI-6713 and USB-6008 for emCCD and BNC-2110 with PCIe-6353) data acquisition boards operated via MATLAB R2015b and OpenEphys software v0.5.5.3.
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3

Optogenetic and Mechanical Hindpaw Stimulation

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All plantar hindpaw optogenetic stimulation experiments were performed using 470 nm LED (M470F3, ThorLabs Inc.) controlled using an LED driver (LEDD1B, ThorLabs Inc.). Light was delivered to the plantar hindpaw using an optical fiber. The stimulated hindpaw was covered with the black aluminum foil to minimize light propagation beyond the stimulation target. The cannula of the optical fiber was glued using epoxy to the piezoelectric plate bender (CMBP09, Noliac Inc.) to allow interleaved mechanical and optical stimulation trials. The mechanical stimulation was done by poking the animal’s plantar hindpaw with the optical fiber’s cannula by actuating the piezoelectric plate bender via an amplifier. An example of the stimulation waveform parameters is shown in Fig. 6(b).
Imaging and optomechanical stimulation were controlled and synchronized using either an OpenEphys or National Instruments (NI BNC-2110, NI PCI-6713, and USB-6008 for emCCD and BNC-2110 with PCIe-6353) data acquisition boards operated via MATLAB R2015b and OpenEphys software v0.5.5.3.
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4

Voltage Divider Sensor and Motion Capture Protocol

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A voltage divider was used for reading the change of resistance in sensors. Each sensor was connected to a resistor to form a voltage divider with a 5 V voltage source. The resistor value was selected to match the base resistance of the sensor, ca. 10 kΩ. Two data acquisition boards (Models NI BNC-2110 and NI BNC-2111, National Instruments, Austin, TX, USA) were used for reading the voltage signals of all the sensors. MATLAB R2017b (The MathWorks, Inc., Natick, MA, USA) was used for data collection.
For collecting the trunk kinematics data, we used a Vicon motion capture system (Vicon, Oxford, UK). This system consisted of six infrared motion tracking cameras. Two sets of reflective markers, each with five markers (8-mm diameter) were used to track objects. These two marker sets were mounted on the participants’ spinal C7 and S1 vertebras. The markers’ Cartesian coordinates information was used to generate the movements’ kinematic data. Figure 2b shows the tracker markers attached to a participant’s back. A synchronization signal from the motion tracking system was used for syncing the sensors and motion capture data. Data from all the components were recorded at a frequency of 100 Hz.
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