Associative memory in a network of ‘spiking’ neurons-Reference-Cited by-同舟云学术

Associative memory in a network of ‘spiking’ neurons

Published:1992-01 Issue:2 Volume:3 Page:139-164
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Gerstner Wulfram¹²,van Hemmen J Leo³

Affiliation:

1. Department of Physics, Universily of California, Berkeley, CA, 94720, USA

2. Physik-Department der ‘Technischen Universität München, Institut für Theoretische Physik, Garching bei München, D-8046, Federal Republic of Germany

3. Physik-Department der Technischen Universität München, Institut für Theoretische Physik, Garching bei München, D-8046, Federal Republic of Germany

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1088/0954-898X_3_2_004

Reference35 articles.

1. Model neurons: From Hodgkin-Huxley to hopfield

2. Modeling Brain Function

3. Spin-glass models of neural networks

4. Information storage in neural networks with low levels of activity

5. Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain

Cited by 82 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Firing rate models for gamma oscillations in I-I and E-I networks;Journal of Computational Neuroscience;2024-08-19

2. Identifying Effective Connectivity between Stochastic Neurons with Variable-Length Memory Using a Transfer Entropy Rate Estimator;Brain Sciences;2024-04-29

3. A half-centre oscillator encodes sleep pressure;2024-02-28

4. Oscillations in a Fully Connected Network of Leaky Integrate-and-Fire Neurons with a Poisson Spiking Mechanism;Journal of Nonlinear Science;2023-11-17

5. Flow-field inference from neural data using deep recurrent networks;2023-11-16