Hananel Hazan

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Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Tali Atir-Sharon, Asaf Gilboa, Hananel Hazan, Ester Koilis, Larry M. Manevitz
Neural plasticity
2015

Neocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and… (More)

Early diagnosis of Parkinson's disease via machine learning on speech data

Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir
IEEE 27th Convention of Electrical and…
2012

Using two distinct data sets (from the USA and Germany) of healthy controls and patients with early or mild stages of Parkinson's disease, we show that machine learning tools can be used for the… (More)

Topological constraints and robustness in liquid state machines

Hananel Hazan, Larry M. Manevitz
Expert Syst. Appl.
2012

0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.06.052 ⇑ Corresponding author. Tel.: +972 4 8288337; fax: E-mail addresses: hhazan01@cs.haifa.ac.il (H. Ha (L.M. Manevitz).… (More)

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

Hananel Hazan, Daniel J. Saunders, +4 authors Robert Kozma
Front. Neuroinform.
2018

The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithms. Existing… (More)

Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs

Orna Peleg, Zohar Eviatar, Hananel Hazan, Larry M. Manevitz
2007

It is well known that the brain (especially the cortex) is structurally separable into two hemispheres. Many neuropsychological studies show that the process of ambiguity resolution requires the… (More)

Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

Orna Peleg, Larry M. Manevitz, Hananel Hazan, Zohar Eviatar
Annals of Mathematics and Artificial Intelligence
2010

A computational model for reading that takes into account the different processing abilities of the two cerebral hemispheres is presented. This dual hemispheric reading model closely follows the… (More)

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques

Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir
IEEE International Conference on Software Science…
2014

The human voice signal carries much information in addition to direct linguistic semantic information. This information can be perceived by computational systems. In this work, we show that early… (More)

Unsupervised Learning with Self-Organizing Spiking Neural Networks

Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
International Joint Conference on Neural Networks…
2018

We present a system comprising a hybridization of self-organized map (SOM) properties with spiking neural networks (SNNs) that retain many of the features of SOMs. Networks are trained in an… (More)

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness

The Liquid State Machine (LSM) is a method of computing with temporal neurons, which can be used amongst other things for classifying intrinsically temporal data directly unlike standard artificial… (More)

Creating Free Will in Artificial Intelligence

Alzbeta Krausová, Hananel Hazan
2013

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