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Found 6 papers, 0 papers with code
Learning Reservoir Dynamics with Temporal Self-Modulation
In this paper, to improve the learning ability of RC, we propose self-modulated RC (SM-RC), which extends RC by adding a self-modulation mechanism.
A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing
We simulated a virtual mouse that explores a figure-eight maze and recalls the route to the reward location.
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks
As SNNs are continuous-state and continuous-time models, it is favorable to implement them with analog VLSI circuits.
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
We also propose several techniques to improve the performance on a recognition task, and show that the classification accuracy of the proposed algorithm is as high as that of the state-of-the-art temporal coding SNN algorithms on the MNIST dataset.
An Efficient Hardware-Oriented Dropout Algorithm
This paper proposes a hardware-oriented dropout algorithm, which is efficient for field programmable gate array (FPGA) implementation.
Hibikino-Musashi@Home 2017 Team Description Paper
In this paper, we introduce our team and the technologies that we have implemented in our robots.
