T
Tomer Fekete
Researcher at Ben-Gurion University of the Negev
Publications - 31
Citations - 831
Tomer Fekete is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Consciousness & Visual cortex. The author has an hindex of 16, co-authored 30 publications receiving 672 citations. Previous affiliations of Tomer Fekete include Interdisciplinary Center for Neural Computation & Leibniz Institute for Neurobiology.
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The NIRS Analysis Package: Noise Reduction and Statistical Inference
TL;DR: This work presents a comprehensive framework for noise reduction and statistical inference, which is custom-tailored to the noise characteristics of NIRS, and validate NAP using both simulated and actual data, showing marked improvement in the detection power and reliability of NirS.
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Neural Correlates of Aggression in Medication-Naive Children with ADHD: Multivariate Analysis of Morphometry and Tractography
Jiook Cha,Tomer Fekete,Francesco Siciliano,Dominik Biezonski,Laurence L. Greenhill,Steven R. Pliszka,Joseph C. Blader,Amy Krain Roy,Ellen Leibenluft,Jonathan Posner +9 more
TL;DR: Multi-modal imaging, combined with multivariate statistical modeling, indicates that the fronto-accumbal circuit is an important substrate of aggression in children with ADHD, and suggests that strategies aimed at probing the fronti-accumulated circuit may be beneficial for the treatment of aggressive behaviors in childhood ADHD.
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Representational Systems
TL;DR: It is argued that representation can be analyzed in terms of the geometrical and topological properties of such spaces, and representational systems are defined, as is a key concept associated with such systems, the notion of representational capacity.
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Towards a computational theory of experience.
Tomer Fekete,Shimon Edelman +1 more
TL;DR: A naturalistic computational theory of qualia is sketched, which posits that experience is realized by dynamical activity-space trajectories and that its richness is measured by the representational capacity of the trajectory space in which it unfolds.
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Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: a NIRS study.
TL;DR: It is found that reduced levels of EC were associated with compromised small-world properties of the prefrontal network, suggesting that the longitudinal NIRS studies of complex network properties in young children hold promise in furthering the understanding of developmental psychopathology.