We present a first-order nonhomogeneous Markov model for the interspike-interval density of a con... more We present a first-order nonhomogeneous Markov model for the interspike-interval density of a continuously stimulated spiking neuron. The model allows the conditional interspike-interval density and the stationary interspike-interval density to be expressed as products of two separate functions, one of which describes only the neuron characteristics and the other of which describes only the signal characteristics. The approximation shows particularly clearly that signal autocorrelations and cross-correlations arise as natural features of the interspike-interval density and are particularly clear for small signals and moderate noise. We show that this model simplifies the design of spiking neuron cross-correlation systems and describe a four-neuron mutual inhibition network that generates a cross-correlation output for two input signals.
Virtual auditory space (VAS) stimuli based on outer ear transfer functions became increasingly im... more Virtual auditory space (VAS) stimuli based on outer ear transfer functions became increasingly important in spatial hearing research. However, few studies have investigated the match between responses of auditory neurons to VAS and free-field (FF) stimulation. This study validates acoustic spatial receptive fields (SRFs) of 183 individual midbrain units using both VAS and FF stimuli. The first-spike latency, which varied systematically across SRFs, was 14.9 ± 8.3 (SD) ms in FF, and 15.1 ± 8.3 ms in VAS. Spike-count-based SRFs measured 0–20 dB above the neural threshold covered on average 44.5 ± 18.0% of the recorded sphere in FF and 45.5 ± 18.7% in VAS. The average deviation of the centroid position of SRFs using FF and VAS stimuli was 7.4° azimuth and 3.3° elevation. The average spike rate remained unchanged. The SRF overlap recorded using FF and VAS stimuli (mean: 71.3 ± 12.6%) or repeated FF stimuli (70.2 ± 14.2%) was high and strongly correlated ( r = 0.96; P < 0.05). The SRF...
2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), 2014
This paper describes a method to establish an average human ear shape across a population of ears... more This paper describes a method to establish an average human ear shape across a population of ears by sequentially applying the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework at successively smaller physical scales. Determining such a population average ear shape, also referred to here as a template ear, is an essential step in studying the statistics of ear shapes because it allows the variations in ears to be studied relative to a common template shape. Our interest in the statistics of ear shapes stems from our desire to understand the relationship between ear morphology and the head-related impulse response (HRIR) filters that are essential for rendering 3D audio over headphones. The shape of the ear varies among listeners and is as individualized as a fingerprint. Because the acoustic filtering properties of the ears depend on their shape, the HRIR filters required for rendering 3D audio are also individualized. The contribution of this work is the demonstration of a sequential multiscale approach to creating a population template ear shape using the LDDMM framework. In particular we apply our sequential multiscale algorithm to a small population of synthetic ears in order to analyse its performance given a known reference ear shape.
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings
We present a psychoacoustic experiment that explores the ability of various listeners to discrimi... more We present a psychoacoustic experiment that explores the ability of various listeners to discriminate between the virtual auditory space (VAS) stimuli generated using different binaural impulse response functions recorded in the Sydney Opera House. The binaural head-related impulse response (HRIR) functions were recorded for a group of subjects sitting in the same seat, P34, using a log sine sweep sound
We present a first-order nonhomogeneous Markov model for the interspike-interval density of a con... more We present a first-order nonhomogeneous Markov model for the interspike-interval density of a continuously stimulated spiking neuron. The model allows the conditional interspike-interval density and the stationary interspike-interval density to be expressed as products of two separate functions, one of which describes only the neuron characteristics and the other of which describes only the signal characteristics. The approximation shows particularly clearly that signal autocorrelations and cross-correlations arise as natural features of the interspike-interval density and are particularly clear for small signals and moderate noise. We show that this model simplifies the design of spiking neuron cross-correlation systems and describe a four-neuron mutual inhibition network that generates a cross-correlation output for two input signals.
Virtual auditory space (VAS) stimuli based on outer ear transfer functions became increasingly im... more Virtual auditory space (VAS) stimuli based on outer ear transfer functions became increasingly important in spatial hearing research. However, few studies have investigated the match between responses of auditory neurons to VAS and free-field (FF) stimulation. This study validates acoustic spatial receptive fields (SRFs) of 183 individual midbrain units using both VAS and FF stimuli. The first-spike latency, which varied systematically across SRFs, was 14.9 ± 8.3 (SD) ms in FF, and 15.1 ± 8.3 ms in VAS. Spike-count-based SRFs measured 0–20 dB above the neural threshold covered on average 44.5 ± 18.0% of the recorded sphere in FF and 45.5 ± 18.7% in VAS. The average deviation of the centroid position of SRFs using FF and VAS stimuli was 7.4° azimuth and 3.3° elevation. The average spike rate remained unchanged. The SRF overlap recorded using FF and VAS stimuli (mean: 71.3 ± 12.6%) or repeated FF stimuli (70.2 ± 14.2%) was high and strongly correlated ( r = 0.96; P < 0.05). The SRF...
2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), 2014
This paper describes a method to establish an average human ear shape across a population of ears... more This paper describes a method to establish an average human ear shape across a population of ears by sequentially applying the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework at successively smaller physical scales. Determining such a population average ear shape, also referred to here as a template ear, is an essential step in studying the statistics of ear shapes because it allows the variations in ears to be studied relative to a common template shape. Our interest in the statistics of ear shapes stems from our desire to understand the relationship between ear morphology and the head-related impulse response (HRIR) filters that are essential for rendering 3D audio over headphones. The shape of the ear varies among listeners and is as individualized as a fingerprint. Because the acoustic filtering properties of the ears depend on their shape, the HRIR filters required for rendering 3D audio are also individualized. The contribution of this work is the demonstration of a sequential multiscale approach to creating a population template ear shape using the LDDMM framework. In particular we apply our sequential multiscale algorithm to a small population of synthetic ears in order to analyse its performance given a known reference ear shape.
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings
We present a psychoacoustic experiment that explores the ability of various listeners to discrimi... more We present a psychoacoustic experiment that explores the ability of various listeners to discriminate between the virtual auditory space (VAS) stimuli generated using different binaural impulse response functions recorded in the Sydney Opera House. The binaural head-related impulse response (HRIR) functions were recorded for a group of subjects sitting in the same seat, P34, using a log sine sweep sound
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Papers by Craig Jin