James Schwartz’s scientific contributions

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Publications (1)


Principles of Neural Science, Fifth Edition
  • Book

January 2013

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850 Reads

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550 Citations

Eric Kandel

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James Schwartz

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Thomas Jessell

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[...]

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A J Hudspeth

Citations (1)


... These observations motivate to design intelligent models with high noise robustness, specifically for handling the task of audiobased depression diagnosis. Pioneering work and recent advance suggest brain-inspired neuronal computations, such as spiking neural networks (SNNs) [16], [17] and hybrid neural networks [18], [19], which outperform other machine learning models against noises. Most of such networks employ leakyintegrated-fired (LIF) models that mimic the neural impulse transmission mechanism in the brain. ...

Reference:

RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis
Principles of Neural Science, Fifth Edition
  • Citing Book
  • January 2013