2 citations · 3 across the 4 of their papers we have counts for
4 papers
Including local feature interactions in deep non-negative matrix factorization networks improves performance
Mahbod Nouri, David Rotermund, Alberto Garcia-Ortiz +1
The brain uses positive signals as a means of signaling. Forward interactions in the early visual cortex are also positive, realized by excitatory synapses. Only local interactions…
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis
Mohammad Mahdi Mehmanchi, Mahbod Nouri, Mohammad Sabokrou
This paper proposes a straightforward and cost-effective approach to assess whether a deep neural network (DNN) relies on the primary concepts of training samples or simply learns…
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri +1
Brain-inspired computation and information processing alongside compatibility with neuromorphic hardware have made spiking neural networks (SNN) a promising method for solving lear…
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework
Mahbod Nouri, Faraz Moradi, Hafez Ghaemi +1
A conventional brain-computer interface (BCI) requires a complete data gathering, training, and calibration phase for each user before it can be used. In recent years, a number of…