alireza alemi
Project Scientist at University of California, Davis
project scientist university california , davis
University of California, Davis
https://www.linkedin.com/company/uc-davis
Davis, California, United States
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Project Scientist
University of California, Davis
https://www.linkedin.com/company/uc-davis
United States
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Postdoctoral Research Scholar
Ecole normale supérieure
https://www.linkedin.com/company/ecolenormalesuperieure
Paris Area, France
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Postdoctoral Researcher
Politecnico di Torino
https://www.linkedin.com/company/politecnico-di-torino
Neural Networks, Statistical physics methods, Machine learning
Turin Area, Italy
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Postdoctral Researcher
Human Genetics Foundation
Theoretical Neuroscience, Statistical physics methods, Machine learning
Postdoctoral Researcher
Doctor of Philosophy (Ph.D.)
Neuroscience
Scuola Internazionale Superiore di Studi Avanzati di Trieste (SISSA)
Master's Degree
Computer Engineering
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Sharif University of Technology
https://www.linkedin.com/school/sharif-university-of-technology/
Bachelor's Degree
Electrical and Electronics Engineering
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Iran University of Science and Technology
https://www.linkedin.com/school/iran-university-of-science-and-technology/
Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules
AAAI 18
https://arxiv.org/pdf/1705.08026
Micromechanical analysis of brain’s diffuse axonal injury
Journal of Biomechanics
http://www.sciencedirect.com/science/article/pii/S002192901730502X
Exponential Capacity in an Autoencoder Neural Network with a Hidden Layer
arxiv
https://arxiv.org/pdf/1705.07441
Understanding how the brain learns to compute functions reliably, efficiently, and robustly with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and motor tasks can be described as dynamical systems and could presumably be learned by adjusting connection weights in a recurrent biological neural network. However, this is greatly complicated by the credit assignment problem for learning in recurrent networks, e.g., the contribution of each connection to the global output error cannot be determined based only on locally accessible quantities to the synapse. Combining tools from adaptive control theory and efficient coding theories, we propose that neural circuits can indeed learn complex dynamic tasks with local synaptic plasticity rules as long as they associate two experimentally established neural mechanisms. First, they should receive top-down feedbacks driving both their activity and their synaptic plasticity. Second, inhibitory interneurons should maintain a tight balance between excitation and inhibition in the circuit. The resulting networks could learn arbitrary dynamical systems and produce irregular spike trains as variable as those observed experimentally. Yet, this variability in single neurons may hide an extremely efficient and robust computation at the population level.
The brain as an efficient and robust adaptive learner
Neuron
http://www.cell.com/neuron/fulltext/S0896-6273(17)30417-8
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
PLoS Computational Biology
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004439
Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats
Frontiers in Neural circuits
http://journal.frontiersin.org/article/10.3389/fncir.2015.00010
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons
PLoS Computational Biology
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003167
Multifeatural shape processing in rats engaged in invariant visual object recognition
Journal of Neuroscience
http://www.jneurosci.org/content/33/14/5939.long
Learning nonlinear dynamics in spiking networks with local plasticity rules
Computational and Systems Neuroscience
Cosyne Talk
French Ministry of Education
Neuroscience lectureship qualification
Introduction to Artificial Intelligence (online)
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Introduction to Probability and Stochastic Processes
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Machine Learning (online)
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Statistical Mechanics
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Project Management
GRE® General Test
Computer Science
https://ir.linkedin.com/in/hoda-mashayekhi-b5816027
Iran
Hoda Mashayekhi
Assistant Prof. at Shahrood University of Technology
https://www.linkedin.com/in/azamasl
Chicago, IL
Azam Asl
Principal Researcher, the University of Chicago Booth School of Business
https://www.linkedin.com/in/spirmorad
Davis, CA
Sahar Pirmoradian
Director of Data Science, Price Image; Leading the Strategic Program Management: Price Image initiative
https://nl.linkedin.com/in/masoud-mazloom-b9787331
Amsterdam
Masoud Mazloom
Senior Data Scientist at ABN AMRO Bank N.V.
https://ca.linkedin.com/in/masoud-mazarei
Ontario, Canada
Masoud Mazarei
Senior Software Engineer at Avaya
https://www.linkedin.com/in/sarah-morse-37310435
Davis, CA
Sarah Morse
Research Program Coordinator at Washington University in St. Louis
https://www.linkedin.com/in/naomi-bahm-4b16a36a
Sacramento, CA
Naomi Bahm
Professor Of Psychology at Cosumnes River College
https://www.linkedin.com/in/joseph-sebastian-bab23a24
Greater Sacramento
Joseph Sebastian
Collections & Archives Management
https://www.linkedin.com/in/marjorie-solomon-8ab3a9110
Greater Sacramento
Marjorie Solomon
Oates Endowed Professor at UC Davis School of Medicine, Department of Psychiatry, MIND Institute
https://www.linkedin.com/in/kyle-memmott-01ba28169
Greater Sacramento
Kyle Memmott
Insurance Defense Attorney & Master Financial Coach (self-employed) - Ramsey Solutions Trained
https://www.linkedin.com/in/bethany-kaiser-5a317728
Clovis, CA
Bethany Kaiser
Providing Oil & Gas Insurance Solutions at The Liberty Company Insurance Brokers, Inc.
https://www.linkedin.com/in/javier-lopez-calderon-74403931
Davis, CA
Javier Lopez-Calderon
Universidad de Talca
https://www.linkedin.com/in/talkingtohunter
Greater Sacramento
Hunter Moore
Sex, Intimacy, Relationship Coach. Confidante. Hypnotherapist. Rapid Transformational Therapy Practitioner  916-800-3584
https://za.linkedin.com/in/joseph-dana-461042200
Cape Town
Joseph Dana
Writer // Editor
https://www.linkedin.com/in/charan-ranganath-1a1aa41bb
Davis, CA
Charan Ranganath
Professor at University of California, Davis
https://www.linkedin.com/in/river-drosera-8333708a
Sacramento, CA
River Drosera
SSEA Certified Somatic Sex Educator, IASHS Sexological Bodyworker,
Tension and Trauma Release Exercises® practicioner
https://www.linkedin.com/in/patricia-ferguson-14918382
Elk Grove, CA
Patricia Ferguson
CEO at Builders Magazine
https://www.linkedin.com/in/shawn-habermehl-098659192
Greater Sacramento
Shawn Habermehl
Account Manager at US Greens
https://iq.linkedin.com/in/alireza-alemi-b574b49a
Iraq
Alireza Alemi
medical instrument at great univers
https://ca.linkedin.com/in/alireza-alemi-8862a816a
Calgary, AB
Alireza Alemi
Research Assistant at University of Calgary
https://nl.linkedin.com/in/alireza-alemi-a435878b
The Hague
Alireza Alemi
CEO Inspectigence B.V.
https://www.linkedin.com/in/alireza-alemi-5ba09a41
Roanoke, VA
Alireza Alemi
Company Owner - Innovative Process Controls, LLC