It is controversial whether temporal spike coding or rate coding is dominant in the information processing of the brain. We show by a two-layered neural network model with noise that, when noise is small, cortical neurons fire synchronously and intervals of synchronous firing robustly encode the ...
Reliability aspects such as bias temperature instability (BTI) and hot carrier injection (HCI) affecting devices in advanced CMOS‐based technology have been the subject of active research in recent decades. Due to these reliability issues, various digital and analog circuits were investigated for ...
The coding fraction γ = 1−ɛn is the fraction of the stimulus encoded in units of the stimulus standard deviation. In the frequency domain, the signal-to-noise ratio is defined from the power spectrum of the stimulus and noise as (23.4)SNR(ω)=SXX(ω)SNN(ω)≥1. The signal-to...
BMC Neuroscience Latency and rate coding in a spiking model of retina D Fisher fisher@braincorporation.com 0 C Petre 0 B Szatmry 0 M Buibas 0 E Izhikevich 0 0 Brain Corporation , San Diego, CA , USA From Twenty Second Annual Computational Neuroscience Meeting: CNS*2013 Paris, France. 13...
Information may either be represented as the average number of spikes per unit time (rate coding)1,2 or by their precise timing (temporal coding)3. The nervous system may also utilize a combination of both strategies, suggesting a continuum between these two extreme coding schemes4. Indeed, ...
Primary afferent signals in most cases are represented in form of spike trains using a combination of rate coding and population coding while there are clear evidences that temporal coding is used in various regions of cortex. In the present paper, it is shown that conversion between these two ...
rate in mind, but it has the 3 charge technology which might indicate that COC only suffers from server tick limitations due to old/primitive coding and doom blast was maybe designed in a way to avoid this problem so we don’t have to play the skill with cast rates and breakpoints in ...
Central sensory processing uses also rate coding, and motor outputs appear to be primarily encoded by rate. I propose here a simple, efficient structure, converting temporal coding to rate coding by neuronal phase-locked loops (PLL). The simplest form of a PLL includes a phase detector (that ...
Recent Spiking Neural Networks (SNNs) works focus on an image classification task, therefore various coding techniques have been proposed to convert an image into temporal binary spikes. Among them, rate coding and direct coding are regarded as prospective candidates for building a practical SNN ...
Video streams are generated using a combination of Multiple Bit Rate (MBR) encoding and Scalable Video Coding (SVC). Capabilities and requests of the clients are used in determining