Neural Building Blocks

Spiking neural building block robot with Hebbian learning

We developed spiking neural network control for a modular robotic system. The modular robotic system can be easily assembled by a user who is allowed to make overall behaviors by assembling the physical structure made up of a number of modules. The control of each module (building block) is implemented as a spiking neuron and action potentials are sent through the communication channels of the ...

Synthesis of Functionalized Aryl-vinyl Ethers as Building Blocks and Auxiliaries in Organic Synthesis

5- hydroxyisoquinoline undergoes a smooth reaction with alkyl propiolates in the presence of triphenylphosphine (15 mol%) to produce the corresponding (E)-alkyl 3-(isoquinolin-5-yloxy) acrylate in good yields. When the reaction was performed by 2-methyl 4-hydroxyquinoline and 3-nitro 4-hydroxypyridine, similar aryl vinyl ethers were obtained.

Artificial neural networks as building blocks of mixed signal FPGA

Exploiting the Reconfigurability of Programmable Hardware for Neural Engineering

The use of programmable devices leads to flexible and area-efficient implementation of biologically plausible neural entities such as synapses and neurons. However, the area constraints of reconfigurable devices such as the Field Programmable Gate Arrays (FPGAs) limit their use to rather small and already trained neural networks. This paper investigates and describes area-efficient spiking neur...

A discrete/rhythmic pattern generating RNN

Biological research supports the concept that advanced motion emerges from modular building blocks, which generate both rhythmical and discrete patterns. Inspired by these ideas, roboticists try to implement such building blocks using different techniques. In this paper, we show how to build such module by using a recurrent neural network (RNN) to encapsulate both discrete and rhythmical motion...