Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity
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Publication:1704945
DOI10.1007/s10827-015-0578-0zbMath1382.92067arXiv1505.03176OpenAlexW1963341019WikidataQ45020401 ScholiaQ45020401MaRDI QIDQ1704945
Publication date: 14 March 2018
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1505.03176
dimension reductionleaky integrate-and-firenetwork heterogeneityintrinsic heterogeneityrecurrent E/I network
Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (4)
Variable synaptic strengths controls the firing rate distribution in feedforward neural networks ⋮ Investigating the correlation-firing rate relationship in heterogeneous recurrent networks ⋮ Statistical Analysis of Decoding Performances of Diverse Populations of Neurons ⋮ Firing rate distributions in a feedforward network of neural oscillators with intrinsic and network heterogeneity
Cites Work
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- Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity
- A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics
- The Competing Benefits of Noise and Heterogeneity in Neural Coding
- Implications of Neuronal Diversity on Population Coding
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