Spiking neural networks (SNNs) using time-to-first-spike (TTFS) codes, in which neurons fire at most once, are appealing for rapid and low power processing. In this theoretical paper, we focus on information coding and decoding in those networks, and introduce a new unifying mathematical framework that allows the comparison of various coding schemes. In an early proposal, called rank-order coding (ROC), neurons are maximally activated when inputs arrive in the order of their synaptic weights, thanks to a shunting inhibition mechanism that progressively desensitizes the neurons as spikes arrive. In another proposal, called NoM coding, only the first N spikes of M input neurons are propagated, and these “first spike patterns” can be readout by downstream neurons with homogeneous weights and no desensitization: as a result, the exact order between the first spikes does not matter. This paper also introduces a third option—“Ranked-NoM” (R-NoM), which combines features from both ROC and NoM coding schemes: only the first N input spikes are propagated, but their order is readout by downstream neurons thanks to inhomogeneous weights and linear desensitization. The unifying mathematical framework allows the three codes to be compared in terms of discriminability, which measures to what extent a neuron responds more strongly to its preferred input spike pattern than to random patterns. This discriminability turns out to be much higher for R-NoM than for the other codes, especially in the early phase of the responses. We also argue that R-NoM is much more hardware-friendly than the original ROC proposal, although NoM remains the easiest to implement in hardware because it only requires binary synapses.
Introduction: During the medical internship year, students attend several hospitals and are observed and influenced by postgraduate students, general practitioners and other interns, who provide them with fundamental support regarding professional training. Bullying is defined as an aggressive behavior that occurs between a perpetrator and a victim in different scenarios and authority relationships, such as clinical practices at Medicine programs.Objective: To describe the perceived frequency of bullying among a group of interns of the Faculty of Medicine from Universidad Nacional de Colombia during internship.Materials and methods: A transversal analytical study was performed through a questionnaire applied to 82 medical interns of the School of Medicine from Universidad Nacional de Colombia.Results: The perceived frequency of bullying was 90%. Statistically significant differences were not found in the stratified analysis by sex or place of practice. In most cases, bullying was perpetrated by other interns, while residents and specialists showed a lower frequency.Conclusion: Perceived frequency of bullying was higher than expected according to the existing literature. These results can be used as a basis for new studies.
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