We present the long-term spectro-temporal evolution of average radio emission properties magnetar XTE J1810-197 (PSR J1809-1943) following its most recent outburst in late 2018. report results from two and a half years monitoring campaign with upgraded Giant Metrewave Radio Telescope carried out over frequency range 300 - 1450 MHz. Our observations show intriguing time variability profile width...

This paper describes the effect of spectro-temporal factors on human sound localization performance in two dimensions (2D). Subjects responded with saccadic eye movements to acoustic stimuli presented in the frontal hemisphere. Both the horizontal (azimuth) and vertical (elevation) stimulus location were varied randomly. Three types of stimuli were used, having different spectro-temporal patter...

The processing characteristics of neurons in the central auditory system are directly shaped by and reflect the statistics of natural acoustic environments, but the principles that govern the relationship between natural sound ensembles and observed responses in neurophysiological studies remain unclear. In particular, accumulating evidence suggests the presence of a code based on sustained neu...

The goal of this work was to define the contributions of intrinsic and synaptic mechanisms toward spontaneous network-wide bursting activity, observed in dissociated rat hippocampal cell cultures. This network behavior is typically characterized by short-duration bursts, separated by order of magnitude longer interburst intervals. We hypothesize that while short-timescale synaptic processes mod...

Light detection and ranging (LiDAR) with scanning beam has been widely used in autonomous driving large-scale manufacturing, where the fast-changing scene is of great interest. However, acquisition rate current LiDAR limited by steering speed round-trip delay, hindering development video-rate LiDAR. Here, we uniquely combine all-optical encoders wavelength-division multiplexing devices to imple...

Deep Learning models have become potential candidates for auditory neuroscience research, thanks to their recent successes on a variety of tasks. Yet, these often lack interpretability fully understand the exact computations that been performed. Here, we proposed parametrized neural network layer, computes specific spectro-temporal modulations based Gabor kernels (Learnable STRFs) and is interp...

The temporal trajectories of the spectral energy in auditory critical bands over 250 ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregress...