Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization ...

Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, P. R. China Department of Radiation Oncology, Shandong Cancer ...

Herein, we developed a stretchable leaky integrate-and-fire neuron device with enhanced uncertainty handling capabilities for stochastic SNN hardware implementation. These neuron devices utilize ...

While existing methods recognize neuron types through efficient morphology representations based on their tree-like structure, they can be further enhanced when analyzing neurons with complex and ...

Additionally, we assessed long short-term memory recurrent neural networks (LSTM-RNN) and bidirectional LSTM-RNN to train the time series of each keypress for decoding. The configuration of these RNNs ...

To investigate whether an AI model can detect stochastic synaptic events in noisy single-trial time-series data, we designed a deep neural network consisting of CNN, long short-term memory (LSTM), and ...