首页> 美国卫生研究院文献>Frontiers in Neuroscience >Neuromorphic Implementation of Attractor Dynamics in a Two-Variable Winner-Take-All Circuit with NMDARs: A Simulation Study
【2h】

Neuromorphic Implementation of Attractor Dynamics in a Two-Variable Winner-Take-All Circuit with NMDARs: A Simulation Study

机译:具有NMDAR的两变量胜者通吃电路中吸引子动力学的神经形态实现:仿真研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Neural networks configured with winner-take-all (WTA) competition and N-methyl-D-aspartate receptor (NMDAR)-mediated synaptic dynamics are endowed with various dynamic characteristics of attractors underlying many cognitive functions. This paper presents a novel method for neuromorphic implementation of a two-variable WTA circuit with NMDARs aimed at implementing decision-making, working memory and hysteresis in visual perceptions. The method proposed is a dynamical system approach of circuit synthesis based on a biophysically plausible WTA model. Notably, slow and non-linear temporal dynamics of NMDAR-mediated synapses was generated. Circuit simulations in Cadence reproduced ramping neural activities observed in electrophysiological recordings in experiments of decision-making, the sustained activities observed in the prefrontal cortex during working memory, and classical hysteresis behavior during visual discrimination tasks. Furthermore, theoretical analysis of the dynamical system approach illuminated the underlying mechanisms of decision-making, memory capacity and hysteresis loops. The consistence between the circuit simulations and theoretical analysis demonstrated that the WTA circuit with NMDARs was able to capture the attractor dynamics underlying these cognitive functions. Their physical implementations as elementary modules are promising for assembly into integrated neuromorphic cognitive systems.
机译:具有赢家通吃(WTA)竞争和N-甲基-D-天冬氨酸受体(NMDAR)介导的突触动力学的神经网络具有许多认知功能背后的吸引子的各种动力学特征。本文提出了一种新的方法,用于用NMDAR进行二变量WTA电路的神经形态实现,旨在实现视觉感知中的决策,工作记忆和滞后。所提出的方法是一种基于生物物理合理的WTA模型的电路合成动力学系统方法。值得注意的是,产生了NMDAR介导的突触的缓慢且非线性的时间动态。 Cadence中的电路模拟重现了决策实验中在电生理记录中观察到的斜坡神经活动,工作记忆期间在前额叶皮层中观察到的持续活动以及视觉辨别任务期间的经典滞后行为。此外,动力学系统方法的理论分析阐明了决策,内存容量和磁滞回线的潜在机制。电路仿真与理论分析之间的一致性表明,带有NMDAR的WTA电路能够捕获这些认知功能背后的吸引子动力学。它们作为基本模块的物理实现有望将其组装成集成的神经形态认知系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号