Odelia Schwartz

Associate Professor

  • 1823 Citations
19992019
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Fingerprint Dive into the research topics where Odelia Schwartz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Visual Cortex Medicine & Life Sciences
Neurons Medicine & Life Sciences
Learning Medicine & Life Sciences
Statistics Engineering & Materials Science
Statistical Models Medicine & Life Sciences
Macaca Medicine & Life Sciences
Sensory Receptor Cells Medicine & Life Sciences
Biohazard Release Medicine & Life Sciences

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Projects 2010 2019

Visual Perception
Fatigue
Learning
Neurophysiology
Aptitude
Neurons
Statistics
Physiology
Experiments
Neurophysiology

Research Output 1999 2019

  • 1823 Citations
  • 25 Article
  • 7 Conference contribution
  • 3 Review article

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

Giraldo, L. G. S. & Schwartz, O., Nov 1 2019, In : Neural computation. 31, 11, p. 2138-2176 39 p.

Research output: Contribution to journalArticle

Visual Cortex
Spatial Analysis
Neural Networks
Normalization

Normalization and pooling in hierarchical models of natural images

Sanchez-Giraldo, L. G., Laskar, M. N. U. & Schwartz, O., Apr 1 2019, In : Current Opinion in Neurobiology. 55, p. 65-72 8 p.

Research output: Contribution to journalReview article

Learning
Neurons
Direction compound
1 Citation (Scopus)

Stimulus- and goal-oriented frameworks for understanding natural vision

Turner, M. H., Sanchez Giraldo, L. G., Schwartz, O. & Rieke, F., Jan 1 2019, In : Nature Neuroscience. 22, 1, p. 15-24 10 p.

Research output: Contribution to journalReview article

Machine Learning
8 Citations (Scopus)

Decoding of finger trajectory from ECoG using deep learning

Xie, Z., Schwartz, O. & Prasad, A., Feb 28 2018, In : Journal of Neural Engineering. 15, 3, 036009.

Research output: Contribution to journalArticle

Long-Term Memory
Short-Term Memory
Fingers
Decoding
Trajectories

Method for concurrent processing of EMG signals from multiple muscles for identification of spasms

Sikder, F., Sarkar, D., Schwartz, O. & Thomas, C. K., Jan 12 2018, 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spasm
Muscle
Muscles
Processing
Muscle Contraction