Intracortical Electrodes
Intracortical Electrodes - Related Videos
06:39
Tools for Surface Treatment of Silicon Planar Intracortical Microelectrodes
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Cited by 3 •
2022
The present protocol describes tools for handling silicon planar intracortical microelectrodes during treatments for surface modification via gas deposition and aqueous solution reactions. The assembly of the components used to handle the devices throughout the procedure is explained in detail.
09:48
Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention
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Cited by 21 •
2017
Using two different transcranial magnetic stimulation (TMS) protocols, this manuscript describes how to measure and compare cortical inhibition within the primary motor cortex when adopting different attentional foci.
05:12
Implanting an On-Head Electrode System in a Rat Model for Real-Time Seizure Detection
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2025
This video demonstrates the method of implanting an on-head electrode system in an anesthetized rat for real-time seizure detection. The procedure includes placing stimulation and recording electrodes, securing them with dental cement, and connecting them to a head-mounted amplifier.
10:32
Brain Mapping Using a Graphene Electrode Array
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2023
We present a graphene array-based brain mapping procedure to reduce the invasiveness and improve spatiotemporal resolution. Graphene array-based surface electrodes exhibit long-term biocompatibility, mechanical flexibility, and suitability for brain mapping in a convoluted brain. This protocol allows for constructing multiple forms of sensory maps simultaneously and sequentially.
03:02
Standard Electrode Potentials
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2020
On comparing the reactivity of silver and lead, it is observed that the two ionic species, Ag+ (aq) and Pb2+ (aq), show a difference in their redox reactivity towards copper: the silver ion undergoes spontaneous reduction, while the lead ion does not. This relative redox activity can be easily quantified in electrochemical cells by a property called cell potential. This property is commonly known as cell voltage in electrochemistry, and it is a measure of the energy which accompanies the charge...
FAQs
Intracortical electrode contacts detect extracellular voltage changes generated by nearby neurons. Recording electronics collect these changing signals, and signal-processing systems convert them into digital commands. This chain links local cortical activity to an external device, such as a computer cursor or robotic limb. The bioengineering challenge is preserving informative signals while interfacing with living tissue.
Recording uses the contacts to sense voltage changes associated with neural activity, whereas stimulation applies controlled electrical currents to cortical tissue. These functions support different experimental goals: recording provides activity for decoding, while stimulation enables researchers to modulate cortical activity. A single neural interface can therefore serve as a sensing system, a modulation system, or both.
Microelectrode arrays provide multiple conductive contacts for studying activity across cortical tissue rather than relying on a single measurement point. This supports investigations of cortical function and supplies neural signals for brain-computer interfaces. In bioengineering, arrays help connect neural activity with engineered systems that can control robotic limbs, computer cursors, or other assistive devices.
Signal processing transforms recorded cortical voltage changes into a form that an external system can use. After the electrodes collect neural activity, processing systems interpret the recordings and translate them into digital commands. This step makes the interface functionally useful, because the measured biological signals can then control a cursor, robotic limb, or another assistive device.
The workflow begins with electrode contacts implanted within the cerebral cortex. The contacts record nearby neural activity, or deliver controlled current when stimulation is required. Recorded signals then pass to a signal-processing system, which translates them into digital commands for an external device. This sequence connects cortical activity with experimental measurement or assistive control.
Researchers use these recordings to study cortical function and to develop brain-computer interfaces. In assistive applications, processed neural activity can control robotic limbs, computer cursors, and other devices. The same approach supports bioengineering research on how neural signals can be linked to engineered outputs, making it relevant to neural prosthetics and restoration-oriented technologies.
Current research focuses on improving signal quality, biocompatibility, long-term stability, and safe integration with neural tissue. These priorities address both performance and compatibility: recordings must remain useful, while the implanted interface must function safely over time. Progress in these areas is important for reliable cortical studies and for neural prosthetic systems intended for sustained use.