Edgars Lazdins - Academia.edu (original) (raw)
Uploads
Papers by Edgars Lazdins
In recent years there has been an increasing amount of interest in spiking neural networks, which... more In recent years there has been an increasing amount of interest in spiking neural networks, which are more biologically realistic than rate based models. Whilst a lot of simulation work has been carried out on spiking neural networks, relatively little research has been done on the use of spiking neural networks to control robots in an environment. The main obstacle to the development of embodied spiking neural networks is the lack of an easy way to link spiking neural network simulators to a robot body in an environment. To address this issue we have developed iSpike: an open source software interface between a humanoid robot, the iCub, and a spiking neuron simulator NeMo. iSpike performs encoding of sensory stimulus received from the iCub into patterns of neuron spikes used by the simulator. The spike output from the simulator is decoded into motor commands for the robot to perform. In our implementation we attempt to mimic the visual, proprioceptive and motor control pathways of ...
Neuroinformatics, 2013
This paper presents a toolbox of solutions that enable the user to construct biologically-inspire... more This paper presents a toolbox of solutions that enable the user to construct biologically-inspired spiking neural networks with tens of thousands of neurons and millions of connections that can be simulated in real time, visualized in 3D and connected to robots and other devices. NeMo is a high performance simulator that works with a variety of neural and oscillator models and performs parallel simulations on either GPUs or multi-core processors. SpikeStream is a visualization and analysis environment that works with NeMo and can construct networks, store them in a database and visualize their activity in 3D. The iSpike library provides biologically-inspired conversion between real data and spike representations to support work with robots, such as the iCub. Each of the tools described in this paper can be used independently with other software, and they also work well together.
Neuroinformatics, 2013
This paper presents a toolbox of solutions that enable the user to construct biologically-inspire... more This paper presents a toolbox of solutions that enable the user to construct biologically-inspired spiking neural networks with tens of thousands of neurons and millions of connections that can be simulated in real time, visualized in 3D and connected to robots and other devices. NeMo is a high performance simulator that works with a variety of neural and oscillator models and performs parallel simulations on either GPUs or multi-core processors. SpikeStream is a visualization and analysis environment that works with NeMo and can construct networks, store them in a database and visualize their activity in 3D. The iSpike library provides biologically-inspired conversion between real data and spike representations to support work with robots, such as the iCub. Each of the tools described in this paper can be used independently with other software, and they also work well together.
In recent years there has been an increasing amount of interest in spiking neural networks, which... more In recent years there has been an increasing amount of interest in spiking neural networks, which are more biologically realistic than rate based models. Whilst a lot of simulation work has been carried out on spiking neural networks, relatively little research has been done on the use of spiking neural networks to control robots in an environment. The main obstacle to the development of embodied spiking neural networks is the lack of an easy way to link spiking neural network simulators to a robot body in an environment. To address this issue we have developed iSpike: an open source software interface between a humanoid robot, the iCub, and a spiking neuron simulator NeMo. iSpike performs encoding of sensory stimulus received from the iCub into patterns of neuron spikes used by the simulator. The spike output from the simulator is decoded into motor commands for the robot to perform. In our implementation we attempt to mimic the visual, proprioceptive and motor control pathways of ...
Neuroinformatics, 2013
This paper presents a toolbox of solutions that enable the user to construct biologically-inspire... more This paper presents a toolbox of solutions that enable the user to construct biologically-inspired spiking neural networks with tens of thousands of neurons and millions of connections that can be simulated in real time, visualized in 3D and connected to robots and other devices. NeMo is a high performance simulator that works with a variety of neural and oscillator models and performs parallel simulations on either GPUs or multi-core processors. SpikeStream is a visualization and analysis environment that works with NeMo and can construct networks, store them in a database and visualize their activity in 3D. The iSpike library provides biologically-inspired conversion between real data and spike representations to support work with robots, such as the iCub. Each of the tools described in this paper can be used independently with other software, and they also work well together.
Neuroinformatics, 2013
This paper presents a toolbox of solutions that enable the user to construct biologically-inspire... more This paper presents a toolbox of solutions that enable the user to construct biologically-inspired spiking neural networks with tens of thousands of neurons and millions of connections that can be simulated in real time, visualized in 3D and connected to robots and other devices. NeMo is a high performance simulator that works with a variety of neural and oscillator models and performs parallel simulations on either GPUs or multi-core processors. SpikeStream is a visualization and analysis environment that works with NeMo and can construct networks, store them in a database and visualize their activity in 3D. The iSpike library provides biologically-inspired conversion between real data and spike representations to support work with robots, such as the iCub. Each of the tools described in this paper can be used independently with other software, and they also work well together.