Alireza Alemi, PhD
Citata da
Citata da
The brain as an efficient and robust adaptive learner
S Denve, A Alemi, R Bourdoukan
Neuron 94 (5), 969-977, 2017
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons
C Baldassi, A Alemi-Neissi, M Pagan, JJ DiCarlo, R Zecchina, D Zoccolan
PLoS computational biology 9 (8), e1003167, 2013
Multifeatural shape processing in rats engaged in invariant visual object recognition
A Alemi-Neissi, FB Rosselli, D Zoccolan
Journal of Neuroscience 33 (14), 5939-5956, 2013
Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules
A Alemi, C Machens, S Deneve, JJ Slotine
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats
FB Rosselli, A Alemi, A Ansuini, D Zoccolan
Frontiers in Neural circuits 9 (10), 2015
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
A Alemi, C Baldassi, N Brunel, R Zecchina
PLoS computational biology 11 (8), e1004439, 2015
Micromechanical analysis of brain’s diffuse axonal injury
A Mohammadipour, A Alemi
Journal of Biomechanics 65, 61-74, 2017
Exponential capacity in an autoencoder neural network with a hidden layer
A Alemi, A Abbara
arXiv preprint arXiv:1705.07441, 2017
Input-driven unsupervised learning in recurrent neural networks
A Alemi-Neissi, C Baldassi, N Brunel, R Zecchina
An attractor neural network architecture with an ultra high information capacity: numerical results
A Alemi
ArXiv:q-bio.NC/1512.01213, 2015
A Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation
A Alemi, ERF Aksay, MS Goldman
ArXiv, 2024
Unraveling the complexity of rat object vision requires a full convolutional network-and beyond
P Muratore, A Alemi, D Zoccolan
bioRxiv, 2024.05. 08.593112, 2024
Shape Processing Strategies Underlying Visual Object Recognition
A Alemi-Neissi
SISSA, 2013
Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition
A Alemi-Neissi, C Baldassi, A Braunstein, A Pagnani, R Zecchina, ...
BMC Neuroscience 13, 1-2, 2012
From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex.
M Pagan, AA Neissi, C Baldassi, R Zecchina, J Dicarlo, D Zoccolan
Cosyne2011 Proceedings, 2011
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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