Asynchronous spiking neurons, the natural key to exploit temporal sparsity

Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic signal processing. We believe one important feature of the brain (asynchronous state-full processing) is the key to its excellence in this domain. In this work, we show how asynchronous processing with state-full neurons allows exploitation of the existing sparsity in natural signals. This paper explains three different types of sparsity and proposes an inference algorithm which exploits all types of sparsities in the execution of already trained networks. Our experiments in three different applications (Handwritten digit recognition, Autonomous Steering and Hand-Gesture recognition) show that this model of inference reduces the number of required operations for sparse input data by a factor of one to two orders of magnitudes. Additionally, due to fully asynchronous processing this type of inference can be run on fully distributed and scalable neuromorphic hardware platforms

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity

Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic signal processing. We believe one important feature of the brain (asynchronous state-full processing) is the key to its excellence in this domain. In this work, we show how asynchronous processing with state-full neurons allows exploitation of the existing sparsity in natural signals. This paper explains three different types of sparsity and proposes an inference algorithm which exploits all types of sparsities in the execution of already trained networks. Our experiments in three different applications (Handwritten digit recognition, Autonomous Steering and Hand-Gesture recognition) show that this model of inference reduces the number of required operations for sparse input data by a factor of one to two orders of magnitudes. Additionally, due to fully asynchronous processing this type of inference can be run on fully distributed and scalable neuromorphic hardware platforms.European Union's Horizon 2020 No 687299 NeuRAMEuropean Union's Horizon 2020 No 824164 HERMESMinisterio de Economía y Competitividad TEC2015-63884-C2-1-

Vulnerabilidade, saúde mental e clínica-escola: uma resposta de atenção à população

O objetivo do estudo é descrever as características da população encaminhada à clínicaescola, no momento da triagem, contemplando as possíveis condições de vulnerabilidade. Trata-se de uma pesquisa exploratória na qual foram analisadas 120 fichas de triagem, correspondentes aos atendimentos realizados no Serviço de Psicologia no ano de 2012. Foi possível identificar que o gênero masculino foi o mais frequente entre os usuários atendidos, e em relação à idade metade dos usuários tinham até dez anos de idade, sendo que, desses 50% apresentaram queixas escolares. O principal encaminhamento realizado foi a psicoterapia individual em 89,2% dos casos. A psicoterapia individual constituiu-se em uma das possibilidades de intervenção que se oferece como proteção à saúde mental diante do contexto vulnerável que se apresenta

Soybean oil increases SERCA2a expression and left ventricular contractility in rats without change in arterial blood pressure

<p>Abstract</p> <p>Background</p> <p>Our aim was to evaluate the effects of soybean oil treatment for 15 days on arterial and ventricular pressure, myocardial mechanics and proteins involved in calcium handling.</p> <p>Methods</p> <p>Wistar rats were divided in two groups receiving 100 μL of soybean oil (SB) or saline (CT) i.m. for 15 days. Ventricular performance was analyzed in male 12-weeks old Wistar rats by measuring left ventricle diastolic and systolic pressure in isolated perfused hearts according to the Langendorff technique. Protein expression was measured by Western blot analysis.</p> <p>Results</p> <p>Systolic and diastolic arterial pressures did not differ between CT and SB rats. However, heart rate was reduced in the SB group. In the perfused hearts, left ventricular isovolumetric systolic pressure was higher in the SB hearts. The inotropic response to extracellular Ca²⁺and isoproterenol was higher in the soybean-treated animals than in the control group. Myosin ATPase and Na⁺-K⁺ATPase activities, the expression of sarcoplasmic reticulum calcium pump (SERCA2a) and sodium calcium exchanger (NCX) were increased in the SB group. Although the phosfolamban (PLB) expression did not change, its phosphorylation at Ser¹⁶was reduced while the SERCA2a/PLB ratio was increased.</p> <p>Conclusions</p> <p>In summary, soybean treatment for 15 days in rats increases the left ventricular performance without affecting arterial blood pressure. These changes might be associated with an increase in the myosin ATPase activity and SERCA2a expression.</p