- Obeid, D. and Konkle, T., 2021. Wiring minimization of deep neural networks reveal conditions in which multiple visuotopic areas emerge. Journal of Vision, 21(9), pp.2135-2135. (Abstract)- In preperation.
- Obeid, D. and Miller, K.D., 2021. Stabilized supralinear network: Model of layer 2/3 of the primary visual cortex. bioRxiv, pp.2020-12. (In submission)
- Obeid, D., Zavatone-Veth, J.A. and Pehlevan, C., 2020. Statistical structure of the trial-to-trial timing variability in synfire chains. Physical Review E, 102(5),p.052406.
- D. Obeid, H. Ramambason and C. Pehlevan, 2019. Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks, Advances in Neural Information Processing Systems (NeurIPS), 32.
- Obeid, D., Kosterlitz, J.M. and Sandstede, B., 2010. State selection in the noisy stabilized Kuramoto-Sivashinsky equation. Physical Review E, 81(6), p.066205.
Conference talks
- D. Obeid and T. Konkle, Wiring minimization of deep neural networks reveal conditions in which multiple visuotopic areas emerge. Talk, Vision Sciences Society (VSS), 2021.
- D. Obeid, H. Ramambason and C. Pehlevan, Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks. Talk, Computational and SystemsNeuroscience (COSYNE), 2020.
Poster presentations
- D. Obeid and T. Konkle, Topographic Organization in Deep Neural Networks: From Network Topology to Visuotopic Organization. Poster, Computational and Systems Neuroscience (COSYNE), 2021.
- D. Obeid and K. D. Miller, The stabilized supralinear network (SSN) model explains feature-specifc surround suppression and cortical activity decay times in V1. Poster, Computational and Systems Neuroscience (COSYNE), 2016.
- D. Obeid and K. D. Miller, The stabilized supralinear network (SSN) model explains feature-specifc surround suppression in V1. Poster, Society For Neuroscience (SFN), 2015.
- D. Obeid and K. D. Miller, A spatially extended rate model of the primary visual cortex. Poster, Computational and Systems Neuroscience (COSYNE), 2015.
- D. Obeid and K. D. Miller, A spiking network V1 model: Surround Suppression, Normalization and related phenomena. Poster, Society For Neuroscience (SFN), 2013.
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