This paper depicts how Spiking neural network model is used for character recognition and classification. Here we adapt to the technique of using ASIC for large scale simulations of the Izhikevich model and use RTL Clock gating approach for reducing the dynamic power. In the current work Izhikevich model is designed & their performance parameters is measured. This Izhikevich model is recognized...

The izhikevich neuron model is well known for mimicking almost all dynamics of the biological neurons like Hodgkin-Huxley neuron models with much less hardware resources. Despite its versatility and biological plausibility, izhikevich neuron model is still not suited for a large scale neural network simulation due to its complexity compared to the simpler neuron models like integrate-and-fire m...

Introduction: Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of neural interactions in the brain. Furthermore, it is important to be capable of modeling the potential neural activities to build precise artificial neural networks. The Izhikevich model is one of the simplest biolog...

Acupuncture has been proved to be effective for treatment of diseases, but the underlying mechanisms about acupuncture are still unknown. We design the animal experiment and process the data. We focus on the firing patterns evoked by acupuncture and developed Izhikevich neuronal model to characterize acupuncture signal. It is shown that this minimal model could account for some important experi...

Izhikevich (2006a) has proposed that certain strongly connected groups of neurons known as polychronous neural groups (or PNGs) might provide the neural basis for representation and memory. Polychronous groups exist in large numbers within the connection graph of a spiking neural network, providing a large repertoire of structures that can potentially match an external stimulus (Izhikevich, 200...

This paper predicts the ability to externally control the firing times of a cortical neuron whose behavior follows the Izhikevich neuron model. The Izhikevich model provides an efficient and biologically plausible method to track a cortical neuron’s membrane potential and its firing times. The external control is a simple optogenetic model represented by a constant current source that can be tu...

We present the construction of a planar vector field that yields the firing rate of a bursting Izhikevich neuron can be read out, while leaving the sub-threshold behavior intact. This planar vector field is used to derive lumped formulations of two complex heterogeneous networks of bursting Izhikevich neurons. In both cases, the lumped model is compared with the spiking network. There is excell...

The diversity of intrinsic dynamics observed in neurons may enhance the computations implemented in the circuit by enriching network-level emergent properties such as synchronization and phase locking. Large-scale spiking network models of entire brain regions offer a platform to test theories of neural computation and cognitive function, providing useful insights on information processing in t...