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

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons

离散空间中的概率推理可以应用于LIF神经元网络。

Probst, Dimitri; Petrovici, Mihai A; Bytschok, Ilja; Bill, Johannes; Pecevski, Dejan; Schemmel, Johannes; Meier, Karlheinz

NEVESIM: event-driven neural simulation framework with a Python interface

NEVESIM:一个具有 Python 接口的事件驱动型神经仿真框架

Pecevski, Dejan; Kappel, David; Jonke, Zeno

A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback

一种用于奖励调节的尖峰时间依赖性可塑性的学习理论及其在生物反馈中的应用

Legenstein, Robert; Pecevski, Dejan; Maass, Wolfgang

PyNN: A Common Interface for Neuronal Network Simulators

PyNN:神经网络模拟器的通用接口

Davison, Andrew P; Brüderle, Daniel; Eppler, Jochen; Kremkow, Jens; Muller, Eilif; Pecevski, Dejan; Perrinet, Laurent; Yger, Pierre

Simulation of networks of spiking neurons: a review of tools and strategies

脉冲神经元网络模拟:工具和策略综述

Brette, Romain; Rudolph, Michelle; Carnevale, Ted; Hines, Michael; Beeman, David; Bower, James M; Diesmann, Markus; Morrison, Abigail; Goodman, Philip H; Harris, Frederick C Jr; Zirpe, Milind; Natschläger, Thomas; Pecevski, Dejan; Ermentrout, Bard; Djurfeldt, Mikael; Lansner, Anders; Rochel, Olivier; Vieville, Thierry; Muller, Eilif; Davison, Andrew P; El Boustani, Sami; Destexhe, Alain