Dual coding with STDP in a spiking recurrent neural network model of the hippocampus.
Dual coding with STDP in a spiking recurrent neural network model of the hippocampus.
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DOI：
10.1371/journal.pcbi.1000839
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发表时间：
2010-07-01
影响因子：
4.3
通讯作者：
O'Shea M
中科院分区：
文献类型：
--
作者：
Bush D;Philippides A;Husbands P;O'Shea M
哺乳动物海马中单个神经元的放电率已被证明对一系列空间和非空间刺激进行编码。研究还表明，在刻板印象学习行为期间主导海马EEG的theta振荡的放电阶段与动物的空间位置相关。这些发现导致了海马体使用双重（速率和时间）编码系统的假设。为了研究海马中的双重编码现象，我们研究了一个尖峰周期性网络模型与θ编码的神经动力学和STDP规则，介导率编码的赫布学习时，前和突触后放电是随机的。我们证明，这种可塑性规则可以产生对称和不对称的神经元之间的连接，火灾在并发或连续θ相位，分别，随后产生模式完成和序列预测从部分线索。这统一了以前不同的海马功能的自联想和异联想网络模型，并为它们在现代神经生物学中提供了更坚实的基础。此外，这里展示的相互兴奋的赫布细胞组装体中的活动的编码和重新激活被认为代表了大脑中认知处理的基本机制。神经元之间突触连接强度的变化被认为介导大脑中的学习和记忆过程。这种突触可塑性的计算理论首先由唐纳德·赫布（Donald Hebb）在更一般的神经编码机制的背景下提出，其中由正在进行的外部和内部动力学指导的活动的相位序列在相互兴奋的神经元集合中传播。这种细胞组装模型的经验证据已经在海马体中获得，在海马体中，编码空间位置的神经元集合在进行中的θ振荡的不同阶段按顺序重复发射。为了研究这些双重编码的活动模式的编码和重新激活，我们研究了一个生物启发的尖峰神经网络模型的海马与一个新的突触可塑性规则。我们证明，这使得对称和不对称的神经元之间的连接，在并发或连续θ相位分别发射的快速发展。回忆活动，对应于模式完成和序列预测，可以随后由部分外部线索产生。这使得两个以前不同的类海马模型的和解，并提供了一个框架，进一步检查细胞组装动力学尖峰神经网络。
The firing rate of single neurons in the mammalian hippocampus has been demonstrated to encode for a range of spatial and non-spatial stimuli. It has also been demonstrated that phase of firing, with respect to the theta oscillation that dominates the hippocampal EEG during stereotype learning behaviour, correlates with an animal's spatial location. These findings have led to the hypothesis that the hippocampus operates using a dual (rate and temporal) coding system. To investigate the phenomenon of dual coding in the hippocampus, we examine a spiking recurrent network model with theta coded neural dynamics and an STDP rule that mediates rate-coded Hebbian learning when pre- and post-synaptic firing is stochastic. We demonstrate that this plasticity rule can generate both symmetric and asymmetric connections between neurons that fire at concurrent or successive theta phase, respectively, and subsequently produce both pattern completion and sequence prediction from partial cues. This unifies previously disparate auto- and hetero-associative network models of hippocampal function and provides them with a firmer basis in modern neurobiology. Furthermore, the encoding and reactivation of activity in mutually exciting Hebbian cell assemblies demonstrated here is believed to represent a fundamental mechanism of cognitive processing in the brain. Changes in the strength of synaptic connections between neurons are believed to mediate processes of learning and memory in the brain. A computational theory of this synaptic plasticity was first provided by Donald Hebb within the context of a more general neural coding mechanism, whereby phase sequences of activity directed by ongoing external and internal dynamics propagate in mutually exciting ensembles of neurons. Empirical evidence for this cell assembly model has been obtained in the hippocampus, where neuronal ensembles encoding for spatial location repeatedly fire in sequence at different phases of the ongoing theta oscillation. To investigate the encoding and reactivation of these dual coded activity patterns, we examine a biologically inspired spiking neural network model of the hippocampus with a novel synaptic plasticity rule. We demonstrate that this allows the rapid development of both symmetric and asymmetric connections between neurons that fire at concurrent or consecutive theta phase respectively. Recall activity, corresponding to both pattern completion and sequence prediction, can subsequently be produced by partial external cues. This allows the reconciliation of two previously disparate classes of hippocampal model and provides a framework for further examination of cell assembly dynamics in spiking neural networks.
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DOI：
10.1016/s0163-1047(05)80065-2
发表时间：
1994-03-01
期刊：
BEHAVIORAL AND NEURAL BIOLOGY
影响因子：
--
作者：
CHIBA, AA;KESNER, RP;REYNOLDS, AM
通讯作者：
REYNOLDS, AM
影响因子：
25
作者：
Clopath, Claudia;Buesing, Lars;Gerstner, Wulfram
通讯作者：
Gerstner, Wulfram
影响因子：
1.9
作者：
Goodrich-Hunsaker, Naomi J.;Hunsaker, Michael R.;Kesner, Raymond P.
通讯作者：
Kesner, Raymond P.
影响因子：
7.8
作者：
BURGESS, N;RECCE, M;OKEEFE, J
通讯作者：
OKEEFE, J
影响因子：
2.9
作者：
Bush, Daniel;Philippides, Andrew;O'Shea, Michael
通讯作者：
O'Shea, Michael