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Bassam V. Atallah
Researcher at University of California, San Diego
Publications - 16
Citations - 3520
Bassam V. Atallah is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Cortex (anatomy) & Pyramidal cell. The author has an hindex of 12, co-authored 15 publications receiving 2897 citations. Previous affiliations of Bassam V. Atallah include Hope College & Champalimaud Foundation.
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Equalizing excitation–inhibition ratios across visual cortical neurons
TL;DR: The equalization of E/I ratios across pyramidal cells reveals an unexpected degree of order in the spatial distribution of synaptic strengths and indicates that the relationship between the cortex’s two opposing forces is stabilized not only in time but also in space.
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Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli
TL;DR: It is shown that parvalbumin-expressing cells strongly modulate layer 2/3 pyramidal cell spiking responses to visual stimuli while only modestly affecting their tuning properties, indicating that PV cells are ideally suited to modulate cortical gain.
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Instantaneous Modulation of Gamma Oscillation Frequency by Balancing Excitation with Inhibition
TL;DR: It is shown that cycle-by-cycle fluctuations in amplitude reflect changes in synaptic excitation spanning over an order of magnitude, and by rapidly balancing excitation with inhibition, the hippocampal network is able to swiftly modulate gamma oscillation frequency.
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Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex.
TL;DR: It is shown that through a highly sensitive recurrent inhibitory circuit, cortical excitability can be modulated by one pyramidal cell, and the distribution of excitatory input amplitudes onto inhibitory neurons influences the sensitivity and dynamic range of the recurrent circuit.
Journal ArticleDOI
Bonsai: an event-based framework for processing and controlling data streams
Gonçalo Lopes,Niccolò Bonacchi,João Frazão,Joana P. Neto,Bassam V. Atallah,Sofia Soares,Luís Moreira,Sara Matias,Pavel M. Itskov,Patrícia A. Correia,Roberto E. Medina,Lorenza Calcaterra,Elena Dreosti,Joseph J. Paton,Adam R. Kampff +14 more
TL;DR: Bonsai is described, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams and demonstrated how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience.