Fabrizio Gabbiani
Overview
Explore the profile of Fabrizio Gabbiani including associated specialties, affiliations and a list of published articles.
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Articles
41
Citations
983
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Recent Articles
1.
Dewell R, Carroll-Mikhail T, Eisenbrandt M, Mendoza A, Halder B, Preuss T, et al.
J Physiol
. 2023 Sep;
601(19):4355-4373.
PMID: 37671925
In animal species ranging from invertebrate to mammals, visually guided escape behaviours have been studied using looming stimuli, the two-dimensional expanding projection on a screen of an object approaching on...
2.
Gabbiani F, Preuss T, Dewell R
Biol Cybern
. 2023 Apr;
117(1-2):129-142.
PMID: 37029831
The processing of visual information for collision avoidance has been investigated at the biophysical level in several model systems. In grasshoppers, the (so-called) [Formula: see text] model captures reasonably well...
3.
Dewell R, Zhu Y, Eisenbrandt M, Morse R, Gabbiani F
Elife
. 2022 Oct;
11.
PMID: 36314775
Neurons receive information through their synaptic inputs, but the functional significance of how those inputs are mapped on to a cell's dendrites remains unclear. We studied this question in a...
4.
Dierick H, Ben-Shahar Y, Raman B, Gabbiani F
Curr Opin Insect Sci
. 2021 Oct;
48:79-88.
PMID: 34710643
The development of genetically encoded tools to record and manipulate neurons in vivo has greatly increased our understanding of how neuronal activity affects behavior. Recent advances enable the use of...
5.
Wang H, Foquet B, Dewell R, Song H, Dierick H, Gabbiani F
J Comp Physiol A Neuroethol Sens Neural Behav Physiol
. 2020 Jan;
206(2):289-307.
PMID: 31902005
Voltage-gated sodium (NaV) channels, encoded by the gene para, play a critical role in the rapid processing and propagation of visual information related to collision avoidance behaviors. We investigated their...
6.
Dewell R, Gabbiani F
J Neurophysiol
. 2019 Jul;
122(2):691-706.
PMID: 31268830
How neurons filter and integrate their complex patterns of synaptic inputs is central to their role in neural information processing. Synaptic filtering and integration are shaped by the frequency-dependent neuronal...
7.
Wang H, Dewell R, Ehrengruber M, Segev E, Reimer J, Roukes M, et al.
J Neurophysiol
. 2018 Aug;
120(4):2049-2058.
PMID: 30110231
The locust is a widely used animal model for studying sensory processing and its relation to behavior. Due to the lack of genomic information, genetic tools to manipulate neural circuits...
8.
Dewell R, Gabbiani F
J Neurophysiol
. 2018 Jul;
120(4):1753-1764.
PMID: 30044671
All animals must detect impending collisions to escape and reliably discriminate them from nonthreatening stimuli, thus preventing false alarms. Therefore, it is no surprise that animals have evolved highly selective...
9.
Zhu Y, Dewell R, Wang H, Gabbiani F
Cell Rep
. 2018 May;
23(8):2365-2378.
PMID: 29791848
Visual neurons that track objects on a collision course are often finely tuned to their target stimuli because this is critical for survival. The presynaptic neural networks converging on these...
10.
Wang H, Dewell R, Zhu Y, Gabbiani F
Curr Biol
. 2018 May;
28(10):1509-1521.e3.
PMID: 29754904
Feedforward inhibition is ubiquitous as a motif in the organization of neuronal circuits. During sensory information processing, it is traditionally thought to sharpen the responses and temporal tuning of feedforward...