leaky integrate-and-fireneuron modelsrefractory periodWe study the dynamics of identical leaky integrate-and-fire neurons with symmetric non-local coupling. Upon varying control parameters (coupling strength, coupling range, refractory period) we investigate the system's behaviour and highlight the ...
To address this issue, a highly compact electronic circuit has been developed that can implement the leaky integrate-and-fire model of artificial neurons (Fig. 3c). The leaky and integrated characteristics of the model are implemented through the use of an RC pair. The capacitor (C) integrates...
The resistive switching (RS) cross-point arrays are emerging technologies for high-density data storage and nonconventional information processing, such as in-memory computing, neuromorphic computing, and machine learning1,2,3,4. For large-scale arrays, each cross-point consists of a nonvolatile RS...
Burkitt AN (2001) Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. Biol Cybern 85: 247–255 PubMedCASGoogle Scholar Burkitt AN (2006) A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input. Biol Cybern DOI: 10.1007/s00422-006-00...
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters using interspike interval data only. One is based on...
The Leaky Integrate-and-fire Neuron
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
The Leaky Integrate-and-fire Neuron_专业资料。? 2-joint robot arm control with generic spiking neural microcircuits. Movement Generation and Control with Generic Neural Microcircuits Prashant Joshi and Wolfgang Maass Institute for Theoretical Computer Science, Graz University of Technology, Austria. ...
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin