Complex spiking models: a role for diffuse thalamic projections in complex cortical activity
Abstract
References
Recommendations
Evaluating the effect of spiking network parameters on polychronization
ICANN'12: Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part ISpiking neural networks (SNNs) are considered to be more biologically realistic compared to typical rate-coded networks as they can model closely different types of neurons and their temporal dynamics. Typical spiking models use a number of fixed ...
Recognizing sound signals through spiking neurons and spike-timing-dependent plasticity
AIPR '19: Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern RecognitionSpiking Neural Networks (SNNs) are regarded as brain-inspired neural networks. Most SNNs described spiking neurons with the leaky integrate-and-fire model, which does not incorporate biological properties of real neurons. In this paper, a model motivated ...
Context-Dependent Computations in Spiking Neural Networks with Apical Modulation
Artificial Neural Networks and Machine Learning – ICANN 2023AbstractNeocortical pyramidal neurons integrate two distinct streams of information. Bottom-up information arrives at their basal dendrites, and resulting neuronal activity is modulated by top-down input that targets the apical tufts of these neurons and ...
Comments
Information & Contributors
Information
Published In
Sponsors
- APNNA: Asia Pacific Neural Network Assembly
- Japanese Neural Network Society
- ieee-cis: IEEE Computational Intelligence Society
- INNS: International Neural Network Society
- The European Neural Network Society
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0