Improved circuits for a biologically-inspired random pulse computer

Proceedings 6th Workshop on Membrane Computing and Biologically Inspired Process Calculi

This volume contains the papers presented at the 6th Membrane Computing and Biologically Inspired Process Calculi (MeCBIC 2012), a satellite workshop of the 23rd International Conference on Concurrency Theory (CONCUR) held on 8th September 2012 in Newcastle upon Tyne, UK.

Proceedings of the 5th Workshop on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC 2011)

This volume represents the proceedings of the 5th Workshop on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC 2011), held together with the 12th International Conference on Membrane Computing on 23rd August 2011 in Fontainebleau, France.

Is Smaller Better: A Proposal To Consider Bacteria For Biologically Inspired Modeling

Bacteria are easily characterizable model organisms with an impressively complicated set of capabilities. Among their capabilities is quorum sensing, a detailed cell-cell signaling system that may have a common origin with eukaryotic cell-cell signaling. Not only are the two phenomena similar, but quorum sensing, as is the case with any bacterial phenomenon when compared to eukaryotes, is also easier to study in depth than eukaryotic cell-cell signaling. This ease of study is a contrast to the only partially understood cellular dynamics of neurons. Here we review the literature on the striking…

生物启发的预测编码 TCN-Transformer 用于共享物理空间中的人机交互前瞻性

Biologically Inspired Predictive Coding TCN-Transformer for Anticipatory Human-Robot Interaction in Shared Physical Spaces

本研究提出了一种生物启发的 TCN-Transformer 架构，通过解码 EEG 信号预测人类运动意图，实现共享空间中的人机交互前瞻性。

基于突触可塑性的注意力就是全部：受生物启发的脉冲神经形态Transformer

Attention via Synaptic Plasticity is All You Need: A Biologically Inspired Spiking Neuromorphic Transformer

针对Transformer能耗高、现有脉冲注意力非神经形态的问题，提出通过突触可塑性（STDP）实现自注意力的S²TDPT模型，在CIFAR数据集上准确率高且能耗降低88.47%，还增强了可解释性。