High Data Rate Wireless Communications for Brain-Computer Interfaces
Overview: To achieve full success in experiments on brain plasticity, bi-directional brain computer interfaces (BBCIs) must deliver activity-dependent stimulation for extended periods of time in unconstrained environments [1]. BBCIs are neuroprosthetics used for fundamental research in neurophysiology and neural rehabilitation. The ability to stimulate the brain in response to single neuron action potentials have allowed for high-fidelity control of prosthetic limbs [2], [3], and such devices have been shown to restore communication lines lost by disease or injury [4]. BBCIs are currently limited by high power consumption and low data rates [5]: typical BBCI
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Backscatter communication operates by modulating and reflecting electromagnetic energy to a receiver; the system is small and ultra-low power because it no longer needs the relatively large and power hungry local oscillator or power amplifier, although there is additional challenge of increased signal attenuation. This currently makes operation in a high-multipath channels (such as animal cages and hospital rooms) challenging.
Preliminary Results: Working with Prof. Reynolds and the Fetz Lab, I have collaborated with two graduate students to develop an initial backscatter system for the NeuroChip3. We have successfully integrated with the NC3 and demonstrated wireless backscatter communication at 5 Mbps with 16 channels at 5 kHz sampling rates and 20 Mbps with a wired link. Initial VNA tests of modified planar antennas in a mock animal cage have also shown achievable bandwidths up to 20 MHz, although there is currently a high variance.
Research Objectives: My research will investigate the following questions to provide quantifiable improvements on backscatter communications for the Neurochip3 and other BBCIs:
O1) Develop, test, and quantify performance of data coding methods to improve signal-to-noise ratio of backscatter communication systems in strong multipath and Doppler environments. Data coding has been shown to improve the performance of backscatter systems with a low signal-to-noise ratio (SNR) for
- I discussed with Johann today regarding the TTL issue and he was working towards the application of this idea; to increase the power of the incoming pulse and provide a 5V source to get a standard TTL out. This is the same idea I have been previously venturing as a viable solution, although he presented an option of using a . I'll be working towards application of the advised solution to get this TTL out and have the ABET system cross talk with Neuronexus system.
Dr. Sterman questioned if he could train the cats to produce the SMR rhythm at will and rewarded them when the frequency was produced. This experiment was the first to prove that brain behavior could be changed and affected by EEG conditioning over time. These findings laid the foundation for what we now call frequency band neurofeedback, which targets abnormal activity in frequency bands (Mayer & Arns, 2016). A great deal of experimentation with quantitative electroencephalogram (QEEG) began in the 1970s and 1980s. Over the last decade, the medical view of the brain as changed dramatically and overwhelming evidence exist for the plasticity of the brain, especially in childhood (Gevensleben, Moll, Rothenberger, & Heinrich, 2014). These current finding has placed attention on neurofeedback as a novel treatment using neuroplasticity to improve attention and many other psychological
The examination was done in the lab of Richard Andersen, James G. Boswell Professor of Neuroscience, T&C Chen Brain-Machine Interface Center Leadership Chair, and executive of the T&C Chen Brain-Machine Interface Center. A paper portraying the work shows up in the April 10 issue of the diary eLife.
The oscilloscope was used to determine that electrode placement was sufficient to record neural activity. This was determined by looking for a recording with minimal background noise and clear spontaneous extracellular action potentials (EAPs) . Criteria for an EAP included the presence of a clear bi- or triphasic waveform amplitude peak above 10 mV.
- I also tested the headstage configuration suggested by the Neuronexus representative for Ground and reference connection via the signal generator.
Designing neuroprosthetic devices is then challenging due to the difficulty of dealing with a complex structure that changes its connectivity in pathology. (Cuenca et al,2005)
magnets were developed to hold the transmitting coil close to the receiver coil. The implant now
Doctors implant small wire thin electrodes on both the right and left side of the brain through small holes made in the top of the skull. Each electrode has four contacts and when turned on the stimulator transmits low volts of electrical pulses along the four contacts to the nerves inside the brain
In the mid 20's, Recording mind signals from the human scalp has picked up consideration of humankind. individuals trusted that having a gadget that is equipped for perusing mind flags and changing over them into control and correspondence signs is sci-fi because of films and books such as star trek. Back in the 60's, individuals attempted to begin recording cerebrum flags. However, required innovations for measuring and preparing mind signs were excessively constrained and costly. The primary BCI working framework was found by Dr. Grey Walter in 1964. Dr. Grey found the essential framework of the BCI while curing a patient by seeing that the gadget associated with the patient actuates before the way toward pressing the button by the patient.
1g. The speed that information travels within the body depends on the type of neuron. These transmissions have been recorded as slow as 0.5 meters/sec or as fast as 120 meters/sec. The latter is compared to going as fast as 268
A major goal in neuroscience is to noninvasively, safely, and precisely be able to control specific neuronal populations. This
“Brains in a vat” (BIV) is a skeptical hypothesis dealing with the external world. In the hypothesis we are introduced to a possibility that our brains could be attached to a super computer that sends electrical pulses to our brains in order to simulate normal a brain experience (how a normal brain senses external objects).
Electricity in both everyday electronic devices and in the human Central Nervous System is created through the flow of charged particles. However, in electric circuits, charge is carried by moving electrons through a conductive wire, whereas in the brain, impulses are carried by ions, or charged molecules. Electrical signals in the brain mainly take place in neurons, which are nerve cells that specialize in transferring nerve impulses. Changes in the concentration of ions in a neuron cause changes in the entire electric state of the cell, stimulating electrical signals from one neuron to another. The brain has yet to be completely mapped out, though it serves some of the most important functions in the human body. Therefore, knowledge about electrical signals in the brain, specifically in neurons, can aid in further discovery about stimulation, signal rates, and factors that affect the overall functioning of the brain.
Just as all other technologies have such difficulties, RFID technology has obstacles to overcome. Two main concerns are discussed in this paper: radio wave technology hindrances such as collisions, and the ethical concerns that entangle this controversial yet extremely helpful technology.
The VeriChip that is implanted into the body is considered to be a passive RFID tag because it doesn’t use or contain batteries and due to that the VeriChip remains inactive until a proprietary scanner activates it. Passive RFID tags, like the VeriChip, boast a number of unique, significant features. Passive RFID tags have longer lifetimes than active RFID tags (with onboard batteries) and the, the estimated lifetime of a VeriChip is over 20 years. The passive RFID tags can only broadcast low-frequency radio waves because of their minimal power. In the VeriChip’s case, it broadcasts on the low-frequency (LF) band between 125 and 134.2 KHz (Fox, 2004). Given the VeriChip’s low power, the tag