Detection and Cortical Representations of the Break in Interaural Correlation of Narrowband Noises Are Affected by Center Frequency and Interaural Delay

2008 ◽  
Vol 123 (5) ◽  
pp. 3293-3293 ◽  
Author(s):  
Ying Huang ◽  
Lingzhi Z. Kong ◽  
Silu Fan ◽  
Xihong H. Wu ◽  
Liang Li
Keyword(s):  
Center Frequency ◽  
Interaural Correlation ◽  
Cortical Representations

scholarly journals Auditory midbrain representation of a break in interaural correlation

2015 ◽  
Vol 114 (4) ◽  
pp. 2258-2264 ◽  
Author(s):  
Qian Wang ◽  
Liang Li
Keyword(s):  
Steady State ◽  
Phase Locking ◽  
Center Frequency ◽  
Auditory Midbrain ◽  
Linear Summation ◽  
Temporary Reduction ◽  
Interaural Correlation ◽  
Neuron Populations ◽  
Fine Structures ◽  
Sustained Responses

The auditory peripheral system filters broadband sounds into narrowband waves and decomposes narrowband waves into quickly varying temporal fine structures (TFSs) and slowly varying envelopes. When a noise is presented binaurally (with the interaural correlation being 1), human listeners can detect a transient break in interaural correlation (BIC), which does not alter monaural inputs substantially. The central correlates of BIC are unknown. This study examined whether phase locking-based frequency-following responses (FFRs) of neuron populations in the rat auditory midbrain [inferior colliculus (IC)] to interaurally correlated steady-state narrowband noises are modulated by introduction of a BIC. The results showed that the noise-induced FFR exhibited both a TFS component (FFRTFS) and an envelope component (FFREnv), signaling the center frequency and bandwidth, respectively. Introduction of either a BIC or an interaurally correlated amplitude gap (which had the summated amplitude matched to the BIC) significantly reduced both FFRTFS and FFREnv. However, the BIC-induced FFRTFS reduction and FFREnv reduction were not correlated with the amplitude gap-induced FFRTFS reduction and FFREnv reduction, respectively. Thus, although introduction of a BIC does not affect monaural inputs, it causes a temporary reduction in sustained responses of IC neuron populations to the noise. This BIC-induced FFR reduction is not based on a simple linear summation of noise signals.

scholarly journals Sensitivity to a Break in Interaural Correlation in Frequency-Gliding Noises

2021 ◽  
Vol 12 ◽  
Author(s):  
Langchen Fan ◽  
Lingzhi Kong ◽  
Liang Li ◽  
Tianshu Qu
Keyword(s):  
Normal Hearing ◽  
Center Frequency ◽  
Constant Frequency ◽  
Interaural Correlation ◽  
Duration Threshold ◽  
Arbitrary Noise ◽  
Noise Experiment

This study was to investigate whether human listeners are able to detect a binaurally uncorrelated arbitrary-noise fragment embedded in binaurally identical arbitrary-noise markers [a break in correlation, break in interaural correlation (BIAC)] in either frequency-constant (frequency-steady) or frequency-varied (unidirectionally frequency gliding) noise. Ten participants with normal hearing were tested in Experiment 1 for up-gliding, down-gliding, and frequency-steady noises. Twenty-one participants with normal hearing were tested in Experiment 2a for both up-gliding and frequency-steady noises. Another nineteen participants with normal hearing were tested in Experiment 2b for both down-gliding and frequency-steady noises. Listeners were able to detect a BIAC in the frequency-steady noise (center frequency = 400 Hz) and two types of frequency-gliding noises (center frequency: between 100 and 1,600 Hz). The duration threshold for detecting the BIAC in frequency-gliding noises was significantly longer than that in the frequency-steady noise (Experiment 1), and the longest interaural delay at which a duration-fixed BIAC (200 ms) in frequency-gliding noises could be detected was significantly shorter than that in the frequency-steady noise (Experiment 2). Although human listeners can detect a BIAC in frequency-gliding noises, their sensitivity to a BIAC in frequency-gliding noises is much lower than that in frequency-steady noise.

Cortical Representations of Auditory Phantom Perception (Tinnitus)

2004 ◽  
Vol 35 (03) ◽  
Author(s):  
A Najib ◽  
C Plewnia ◽  
M Reimold ◽  
S Plontke ◽  
B Brehm ◽  
...  
Keyword(s):  
Cortical Representations

Power Efficient Implementation of Low Noise CMOS LC VCO using 32nm Technology for RF Applications

2018 ◽  
Vol 6 (8) ◽  
pp. 53
Author(s):  
Shitesh Tiwari ◽  
Sumant Katiyal ◽  
Parag Parandkar
Keyword(s):  
Power Consumption ◽  
Phase Noise ◽  
Tuning Range ◽  
Low Voltage ◽  
Performance Comparison ◽  
Low Noise ◽  
Center Frequency ◽  
Voltage Controlled Oscillator ◽  
Low Phase Noise ◽  
Lc Vco

Voltage Controlled Oscillator (VCO) is an integral component of most of the receivers such as GSM, GPS etc. As name indicates, oscillation is controlled by varying the voltage at the capacitor of LC tank. By varying the voltage, VCO can generate variable frequency of oscillation. Different VCO Parameters are contrasted on the basis of phase noise, tuning range, power consumption and FOM. Out of these phase noise is dependent on quality factor, power consumption, oscillation frequency and current. So, design of LC VCO at low power, low phase noise can be obtained with low bias current at low voltage.  Nanosize transistors are also contributes towards low phase noise. This paper demonstrates the design of low phase noise LC VCO with 4.89 GHz tuning range from 7.33-11.22 GHz with center frequency at 7 GHz. The design uses 32nm technology with tuning voltage of 0-1.2 V. A very effective Phase noise of -114 dBc / Hz is obtained with FOM of -181 dBc/Hz. The proposed work has been compared with five peer LC VCO designs working at higher feature sizes and outcome of this performance comparison dictates that the proposed work working at better 32 nm technology outperformed amongst others in terms of achieving low Tuning voltage and moderate FoM, overshadowed by a little expense of power dissipation. 

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