N
Naama Brenner
Researcher at Technion – Israel Institute of Technology
Publications - 63
Citations - 2543
Naama Brenner is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Population & Biology. The author has an hindex of 21, co-authored 56 publications receiving 2313 citations. Previous affiliations of Naama Brenner include Weizmann Institute of Science & Princeton University.
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Adaptive Rescaling Maximizes Information Transmission
TL;DR: This work relates an adaptive property of a sensory system directly to its function as a carrier of information about input signals, and gives direct evidence that the scaling of the input/output relation is set to maximize information transmission for each distribution of signals.
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Synergy in a Neural Code
TL;DR: It is shown that the information carried by compound events in neural spike trainspatterns of spikes across time or across a population of cellscan can be measured, independent of assumptions about what these patterns might represent.
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Selective adaptation in networks of cortical neurons.
TL;DR: The observation that selective adaptation arises naturally in a network of cortical neurons developing ex vivo indicates that this is an inherent feature of spontaneously organizing cortical networks.
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Genome‐wide transcriptional plasticity underlies cellular adaptation to novel challenge
TL;DR: It is shown here that a global transcriptional reprogramming (>1200 genes) underlies the adaptation of cells to novel challenges and a large fraction of the responding genes is nonreproducible in repeated experiments.
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History-Dependent Multiple-Time-Scale Dynamics in a Single-Neuron Model
TL;DR: This construction produces a model that robustly exhibits nonexponential history-dependent dynamics, in qualitative agreement with experimental results, that is composed of an ensemble of ion channels that can wander in a large pool of degenerate inactive states and thus exhibits multiple-time-scale dynamics at the molecular level.