The internal brain dynamics that link sensation and action are arguably better studied during natural animal behaviors. Here, we report on a novel volume imaging 3D tracking technique monitors whole neural activity in freely swimming larval zebrafish (Danio rerio). We demonstrated the capability of our system through functional visually evoked prey capture behaviors zebrafish.

The standardization process of the fifth generation (5G) wireless communications has recently been accelerated and first commercial 5G services would be provided as early in 2018. increasing enormous smartphones, new complex scenarios, large frequency bands, massive antenna elements, dense small cells will generate big datasets bring to era data. This paper investigates various applications data analytics, especially machine learning algorithms channel modeling. We propose a enabled model...

As the fifth-generation (5G) wireless communication networks are at stage of commercial deployment, beyond 5G (B5G)/sixth-generation (6G) have also been under extensive research. In B5G/6G era, vision network is so-termed space-air-ground-sea integrated (SAGSIN), which will focus on more various and dynamic scenarios, including vehicle-to-vehicle (V2V), high-speed train (HST), unmanned aerial vehicle (UAV), satellite, maritime communications. Meanwhile, systems employ two potential...

Eye tracking has shown great promise in many scientific fields and daily applications, ranging from the early detection of mental health disorders to foveated rendering virtual reality (VR). These applications all call for a robust system high-frequency near-eye movement sensing analysis high precision, which cannot be guaranteed by existing eye solutions with CCD/CMOS cameras. To bridge gap, this paper, we propose Swift-Eye, an offline precise pupil estimation framework support analysis,...

This paper proposes a procedure of predicting channel characteristics based on well‐known machine learning (ML) algorithm and convolutional neural network (CNN), for three‐dimensional (3D) millimetre wave (mmWave) massive multiple‐input multiple‐output (MIMO) indoor channels. The parameters, such as amplitude, delay, azimuth angle departure (AAoD), elevation (EAoD), arrival (AAoA), (EAoA), are generated by ray tracing software. After the data preprocessing, we can obtain statistical...

This paper proposes a non-stationary three-dimensional (3D) irregular-shaped geometry-based stochastic model (IS-GBSM) for fifth generation (5G) and beyond massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) unmanned aerial vehicle (UAV) channels. is the first sixth (6G) MIMO mmWave UAV IS-GBSM that can channel space-time non-stationarity, describe impact of some unique UAV-related parameters, e.g., UAV's moving direction, height, speed, on statistical properties. To...

In this paper, we propose a three-dimensional (3D) cluster-based model for the fifth generation (5G)/beyond 5G (B5G) vehicle-to-vehicle (V2V) massive multiple-input multiple-output (MIMO) wideband channels. It is first irregular shaped geometry-based stochastic (IS-GBSM) to distinguish dynamic clusters and static in vehicular MIMO communication scenarios. This not only considers high time-variance, time non-stationarity, traffic density (VTD) of V2V channels, but also models channel...

In this article, a novel three-dimensional (3D) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed for sixth-generation (6G) vehicle-to-vehicle (V2V) channels. the GBSM, clusters in environment are divided into static and dynamic clusters. Furthermore, time-variant acceleration together with integration of time during transmission distance update exploited. As result, continuously arbitrary trajectory transceiver...

In the era of sixth-generation (6G) wireless communications, integrated sensing and communications (ISAC) is recognized as a promising solution to upgrade physical system by endowing with capability. Existing ISAC mainly oriented static scenarios radio-frequency (RF) sensors being primary participants, thus lacking comprehensive environment feature characterization facing severe performance bottleneck in dynamic environments. To date, extensive surveys on have been conducted but are limited...

In this paper, a novel multi-modal intelligent channel model for sixth-generation (6G) multiple-unmanned aerial vehicle (multi-UAV)-to-multi-vehicle communications is proposed. To thoroughly explore the mapping relationship between physical environment and electromagnetic space in complex multi-UAV-to-multi-vehicle scenario, two new parameters, i.e., terrestrial traffic density (TTD) (ATD), are developed sensing-communication integrated dataset constructed suburban scenario under different...

This paper proposes a novel atmosphere-informed predictive satellite channel model for beyond the fifth-generation (B5G)/the sixth-generation (6G) satellite-terrestrial wireless communication systems at Q-band to model/predict attenuation any specific time. The proposed is data-driven based on either of two deep learning networks, i.e., multi-layer perceptron (MLP) and long short-term memory (LSTM). accuracy measured by cumulative density function (CDF) absolute error mean square (MSE)...

In this paper, a novel cooperative array-space-time-frequency (A-S-T-F) non-stationary multi-unmanned aerial vehicle (UAV) channel model with three-dimensional (3D) continuously arbitrary trajectory and self-rotation for sixth generation (6G) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) wireless communication systems is proposed. The impulse response (CIR) of the proposed multi-UAV derived, including line-of-sight (LoS), ground reflection, non-LoS (NLoS)...

In this paper, a novel unmanned aerial vehicle (UAV) space-time-frequency (S-T-F) non-stationary channel model with time-space consistency for sixth generation (6G) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) wireless communication systems is proposed. the proposed model, line-of-sight (LoS) transmission and non-LoS (NLoS) through ground reflection, single-clusters, twin-clusters are modeled. Meanwhile, three-dimensional (3D) continuously arbitrary trajectory...

In this paper, based on the geometric stochastic modeling method, a space-time-frequency (S-T-F) non-stationary model with three-dimensional (3D) continuously arbitrary trajectory and self-rotation is proposed for sixth generation (6G) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) unmanned aerial vehicle (UAV) channels. It first 6G MIMO mmWave UAV channel that considers 3D of in practice models S-T-F non-stationarity model, calculation impulse response (CIR)...

In this paper, a novel three-dimensional (3D) irregular shaped geometry-based stochastic model (IS-GBSM) is proposed for sixth-generation (6G) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels. To investigate the impact of vehicular traffic density (VTD) on channel statistics, clusters are divided into static and dynamic clusters, which further distinguished static/dynamic single/twin-clusters to capture mixed-bouncing propagation. A new...

In this paper, based on the irregular shaped geometry-based stochastic modeling (IS-GBSM) approach, a novel three-dimensional (3-D) model for cooperative multi-vehicle communication channels is developed. By employing technology, multi-vehicles can form platoon to cooperatively transmit data streams, which achieve distributed multiple-input multiple-output (MIMO) system performance. The proposed IS-GBSM distinguishes static and dynamic clusters, where continuously arbitrary vehicular...

This letter proposes the use of an artificial neural network (ANN) for estimating fading a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q</i> -band (39.402 GHz) satellite channel exploiting knowledge its previous state, as well present weather conditions. The ANN is trained using data and propagation measurements at obtained during period nine months by Aldo Paraboni receivers RAL Space, Chilbolton, Hampshire, U.K. Subsequently, estimation...

This paper proposes a three-dimensional (3D) channel model for satellite communications at Q-band in high latitude, including the path loss, shadowing, and small-scale fading. The shadowing effect is modelled by Markov chain. three states chain are separated threshold of received power level link budget system optimization. probability density function (PDF) amplitude mixture two Gaussian distributions with parameters obtained expectation-maximum (EM) algorithm. fading represented 3D...

The sixth generation (6G) of mobile communication system is witnessing a new paradigm shift, i.e., integrated sensing-communication system. A comprehensive dataset prerequisite for 6G research. This paper develops novel simulation dataset, named M <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> SC, mixed multi-modal (MMM) integration, and the framework SC further given. To obtain sensory data in physical space electromagnetic space, we...

This paper proposes a novel three-dimensional (3D) non-stationary multiple-unmanned aerial vehicle (multi-UAV) cooperative channel model for sixth generation (6G) wireless communication systems. In the proposed multi-UAV model, impulse response (CIR) of sub-channel between each UAV and ground station (GS) is calculated, including line-of-sight (LoS), non-LoS (NLoS), as well reflection transmissions. The relative distance transmission relationship among sub-channels multi-UAVs GS are further...