Absence epilepsy is a neurological disorder that commonly occurs in children [44]. Some studies [14] have shown that absence seizures predominantly originate either in the thalamus or the cerebral cortex. Some cerebellar nuclei (CN) neurons project to these brain areas, as explained further in Fig. 2.6 in Chapter 2. Also, some CN neurons have been observed to show modulation during the absence ...

We propose two simple and effective spiking neuron models to improve the response time of conventional neural network. The proposed adaptively tune presynaptic input current depending on received from its presynapses subsequent firing events. analyze derive activity homeostatic convergence models. experimentally verify compare MNIST handwritten digits FashionMNIST classification tasks. show tha...

Artificial intelligence has revolutionized image and speech recognition, but the neural network fitting method limitations. Neuromorphic chips that mimic biological neurons can better simulate brain’s information processing mechanism. As basic computing component of new neuromorphic network, unit’s design implementation have important significance; however, complex dynamical features come with ...

Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Highly inspired from natural computing in the brain and recent advances in neurosciences, they derive their strength and interest from an accurate modeling of synaptic interactions between neurons, taking into account the time of spike firing. SNNs overcome the computational power of neural networks...

We describe evolution of spiking neural architectures to control navigation of autonomous mobile robots. Experimental results with simple fitness functions indicate that evolution can rapidly generate spiking circuits capable of navigating in textured environments with simple genetic representations that encode only the presence or absence of synaptic connections. Building on those results, we ...