Stimulus dependence of ocular dominance of complex cells in area 17 of the feline visual cortex

Summary Stimulus dependence of ocular dominance of 31 deep-layer complex cells was assessed from detailed monocular directional tuning curves for motion of bar stimuli or fields of static visual noise, in area 17 of normal adult cats, lightly anaesthetised with N₂O/O₂ supplemented with pentobarbitone. Virtually all cells were binocularly driven, with the anticipated ocular dominance distribution. Interocular differences in directional bias and sharpness of directional tuning for noise were observed in eleven cells, whereas preferred direction and sharpness of tuning for bar stimuli were similar for each eye. In the majority of cells (20/31), any differences between noise and bar tuning in one eye were replicated in the other. Ocular dominance of about half the cells (17/31) for noise and for bar motion was similar, or marginally shifted by up to one ocular dominance group. Substantial shifts in ocular dominance were seen in 14 cells — by up to two ocular dominance groups in 12 cells and by up to three ocular dominance groups in two cells. In three cases these shifts involved a reversal of eye dominance. Notwithstanding these changes, there were no obvious trends in shifts of ocular dominance in favour of the ipsilateral or contralateral eye, nor was there any tendency towards increased binocularity for noise.     

眼底图像畸变的校正及多幅图像的特征点拼接算法

对于眼底图像 ,由于不在正视点取像造成的几何畸变和由于荧光素从血管壁渗漏等造成的灰度畸变 ,几乎是不可避免的。为临床诊断提供丰富信息的需要出发 ,进行多幅眼底图像的拼接是必要的。本文为此提出了几个新的处理方法 ,如基于大窗口的滤波灰度校正方法、基于透视投影原理的几何校正方法与基于小波子空间上的拼接算法 ,均具有效果好和耗时少的优点。     

Design and application of sensor for recording sounds over human eye and nose

The recording of sounds over the oribt of the eye has been found to be useful in the detection of intracranial aneurysms. A hydrophone for auscultation over the eye has been developed and is tested under controlled conditions. The tests consist of measurement over the eyes in three healthy volunteers at rest, during voluntary breathing, during eyeball movements and during sustained orbicular muscular contractions. Furthermore, measurements are performed at the side of the nose. Major features of the hydrophonic transducer are high sensitivity to physiological sounds and a high degree of insensitivity to environmental sounds propagated through the air. It can be concluded that the hydrophone may be useful for the early detection of intracranial aneurysms and also for apnoea detection.     

Real-time ocular artifact suppression using recurrent neural network for electro-encephalogram based brain-computer interface

The paper presents an adaptive noise canceller (ANC) filter using an artificial neural network for real-time removal of electro-oculogram (EOG) interference from electro-encephalogram (EEG) signals. Conventional ANC filters are based on linear models of interference. Such linear models provide poorer prediction for biomedical signals. In this work, a recurrent neural network was employed for modelling the interference signals. The eye movement and eye blink artifacts were recorded by the placing of an electrode on the forehead above the left eye and an electrode on the left temple. The reference signal was then generated by the data collected from the forehead electrode being added to data recorded from the temple electrode. The reference signal was also contaminated by the EEG. To reduce the EEG interference, the reference signal was first low-pass filtered by a moving averaged filter and then applied to the ANC. Matlab Simulink was used for real-time data acquisition, filtering and ocular artifact suppression. Simulation results show the validity and effectiveness of the technique with different signal-to-noise ratios (SNRs) of the primary signal. On average, a significant improvement in SNR up to 27 dB was achieved with the recurrent neural network. The results from real data demonstrate that the proposed scheme removes ocular artifacts from contaminated EEG signals and is suitable for real-time and short-time EEG recordings.     

Effect on EEG responses of removing ocular artefacts by proportional EOG subtraction

Work undertaken to investigate the effect on EEG responses of ocular artefact removal by proportional electro-oculogram subtraction using the least-squares method is reported. The ocular artefact model and the least-squares approach to estimation of the model parameters and hence of the EEG waveform, including the response, are described. Results are presented to show that the response shapes become modified if ocular artefact removal is implemented recursively. This happens because the response is incorrectly treated as part of the random background EEG. The solution is to incorporate a model of the response within the ocular artefact removal algorithm. The results of tests on simulated data confirm these conclusions. The results of the incorporation of response models in removing ocular artefacts from CNV recordings are presented. Even with modelling recursive ocular artefact removal is found to modify the shape of the CNV, and so reliable results can only be obtained if the removal is implemented nonrecursively. Evidence is given that it is advisable to remove DC levels from the recorded data.     

Detection of ophthalmic arterial doppler signals with Behcet disease using multilayer perceptron neural network

Doppler ultrasound is known as a reliable technique, which demonstrates the flow characteristics and resistance of ophthalmic arteries. In this study, ophthalmic arterial Doppler signals were obtained from 106 subjects, 54 of whom suffered from ocular Behcet disease while the rest were healthy subjects. Multilayer perceptron neural network (MLPNN) employing delta-bar-delta training algorithm was used to detect the presence of ocular Behcet disease. Spectral analysis of the ophthalmic arterial Doppler signals was performed by least squares (LS) autoregressive (AR) method for determining the MLPNN inputs. The MLPNN was trained with training set, cross validated with cross validation set and tested with testing set. All these data sets were obtained from ophthalmic arteries of healthy subjects and subjects suffering from ocular Behcet disease. Performance indicators and statistical measures were used for evaluating the MLPNN. The correct classification rate was 96.43% for healthy subjects and 93.75% for unhealthy subjects suffering from ocular Behcet disease. The classification results showed that the MLPNN employing delta-bar-delta training algorithm was effective to detect the ophthalmic arterial Doppler signals with Behcet disease.     

Investigation and comparison of some models for removing ocular artefacts from EEG signals

An investigation of ocular artefacts (OAs) in the human electroencephalogram (EEG) to quantify the effectiveness of OA removal and to find the most effective model for removing OAs online is described. In Part 1, the models used in the investigation are described and the data analysed. The analysis showed that the ‘true’ EEG exhibited a high degree of serial correlation and so the ordinary least-squares (OLS) method employed to remove OA was inefficient. Efficient alternative methods based on autoregressive models of the ‘true’ EEG are discussed. It is also shown that the EOGs are linearly dependent making some of them redundant. In Part 2, the models are compared.     

Early impact of hormone replacement therapy on vascular hemodynamics detected via ocular colour Doppler analysis

Objective: To determine the effects of hormone replacement therapy (HRT) on ocular blood flow.

Study design: In a prospective controlled study, 40 healthy women who presented to the menopause clinic between December 2000 and December 2001 were randomly assigned into the study. The HRT-receiving group was administered estradiol 17-valerate 2 mg the first 11 days, and estradiol 17-valerate 2 mg plus ciproterone acetate 1 mg the next 10 days of the monthly cycle for 6 months. The control group did not receive any HRT for 6 months. The ocular colour Doppler analysis were performed at baseline and after 3 and 6 months. The ocular Doppler analysis was performed in the first half of the cycle in the HRT-receiving group.

Results: Central retinal artery and ophthalmic artery basal Doppler index (peak systolic velocity, end-diastolic velocity, resistive index and pulsatility index) values of the two groups at the beginning of the study did not show any statistically significant difference. Both the right and the left central retinal artery pulsatility index (PI) values of the study group, who received HRT at the end of the third and sixth months, showed a statistically significant decline (paired-samples test, P < 0.05), while the decrease in the resistive indexes was not significant.

Conclusion: These results suggest that 6 months of combined hormone replacement therapy with estradiol 17-valerate 2 mg plus ciproterone acetate 1 mg improves ocular vascular Doppler indices which may be a reflection of cerebral vascular status.     

Online measurement of ocular accommodation using a low-cost microcomputer system

The paper describes a low-cost system for the measurement of ocular accommodation. Digitisation of the low-frequency signals obtained from the measurement is straightforward and high-speed methods are not necessary. The methods described are, therefore, of interest to workers involved in the study of low-frequency signals, which are common in biological systems.     

Self-Regulated Facial Muscle Tension Effects on Intraocular Pressure

This study was designed to examine the relationship between orbicularis muscle tension around the eyes and fluctuations in intraocular pressure (IOP) in normal subjects. Using a biofeedback paradigm, 20 male and female subjects were asked to increase and decrease their EMG activity from the orbicularis muscle while receiving EMG feedback. Subjects received 3 alternating blocks of trials in which they attempted to increase and decrease muscle tension while maintaining the eyes open. A fourth trial consisted of a forceful closure of the eyes during the increase period. IOP was measured every 60 s throughout the entire sequence, and electrodes placed above and below the eye recorded eyeblinks. Results suggest that IOP increases with increases in facial muscle tension in normal subjects, a finding which cannot be accounted for by changes in eyeblink frequency. These results imply that increases in IOP occur during periods of increased muscle tension around the eye and suggest that muscle tension levels should be examined among individuals who have abnormally high IOP levels.