Pourquoi le génie biomédical?

This section proposed three methods that applied to the ReSuMe learning implementation on FPGA, which are LIF-neuron model, Postsynaptic potential (PSP) and Spike

The second part of the convolution processing unit is the computing core that is responsible for integrating input spiking events and generating output spikes.. The computing core

• 3 rd generation of neural network models: Networks which employ spiking neurons as computational units, taking into account the precise firing times of neurons for

Despite the remarkable performance of the developed Deep Neural Networks (DNNs) for forecasting epileptic seizure, their implementation on the real-world mobile medical devices

Un évènement crucial dans la guerre de Cent ans et le début de la fin pour les Anglais  20min - collectif, oral Consigne: « Je vais vous distribuer le document 5 et vous allez

The 2nd International Symposium on Neuromorphic, non-linear, Neurofluidic Engineering, ISNNE, Mar 2017, Bordeaux, France... The 2 nd International Symposium on Neuromorphic,

Les données actuelles sont différentes, impliquant les UVA pour un tiers dans la survenue des cancers cutanés , particulièrement les UVA1 ou UVA longs (340-400 nm).

When a neuron on the source neural map emits a spike, it sends PSPs to NxN neurons on the target neural maps, as shown on Fig.. As all neurons of a single map have the same