日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Modelling neural probabilistic computation using vector symbolic architectures

利用向量符号架构对神经概率计算进行建模

Furlong, P Michael; Eliasmith, Chris

Constructing functional models from biophysically-detailed neurons

利用生物物理学细节丰富的神经元构建功能模型

Duggins, Peter; Eliasmith, Chris

Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics

Nengo 和低功耗 AI 硬件,用于稳健的嵌入式神经机器人

DeWolf, Travis; Jaworski, Pawel; Eliasmith, Chris

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study

抑制基底神经节区域可减少帕金森病患者的音节序列错误:一项计算机模拟研究

Senft, Valentin; Stewart, Terrence C; Bekolay, Trevor; Eliasmith, Chris; Kröger, Bernd J

Using Neural Networks to Generate Inferential Roles for Natural Language

利用神经网络生成自然语言的推理角色

Blouw, Peter; Eliasmith, Chris

Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator

Nengo神经网络模拟器中计算图的自动优化

Gosmann, Jan; Eliasmith, Chris

A spiking neural model of adaptive arm control

自适应手臂控制的脉冲神经网络模型

DeWolf, Travis; Stewart, Terrence C; Slotine, Jean-Jacques; Eliasmith, Chris

Benchmarking neuromorphic systems with Nengo

使用 Nengo 对神经形态系统进行基准测试

Bekolay, Trevor; Stewart, Terrence C; Eliasmith, Chris

A unifying mechanistic model of selective attention in spiking neurons

脉冲神经元选择性注意的统一机制模型

Bobier, Bruce; Stewart, Terrence C; Eliasmith, Chris

Nengo: a Python tool for building large-scale functional brain models

Nengo:一个用于构建大规模功能性脑模型的Python工具

Bekolay, Trevor; Bergstra, James; Hunsberger, Eric; Dewolf, Travis; Stewart, Terrence C; Rasmussen, Daniel; Choo, Xuan; Voelker, Aaron Russell; Eliasmith, Chris