Giacomo Benvenuti

Giacomo Benvenuti
  • PhD
  • PostDoc Position at University of Texas at Austin

About

20
Publications
6,162
Reads
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171
Citations
Introduction
Giacomo Benvenuti (Ph.D., CNRS, France) joined Eyal Seidemann's lab in Austin on July 2015. His primary research interest is the link between neural population responses in the visual cortex and visual perception. To study this subject, he uses a combination of optical imaging and stimulation tools on non-human-primates performing demanding perceptual tasks. Giacomo is also interested in motion integration in monkey visual cortex and decoding of neural population activity.
Current institution
University of Texas at Austin
Current position
  • PostDoc Position
Additional affiliations
July 2015 - present
University of Texas at Austin
Position
  • PostDoc Position
November 2009 - June 2015
Aix-Marseille University
Position
  • PhD Student
Education
September 2006 - December 2008
University of Turin
Field of study
  • Neurobiology
September 2002 - April 2006
University of Florence
Field of study
  • Medical Biotechnology

Publications

Publications (20)
Article
Full-text available
Can direct stimulation of primate V1 substitute for a visual stimulus and mimic its perceptual effect? To address this question, we developed an optical-genetic toolkit to 'read' neural population responses using widefield calcium imaging, while simultaneously using optogenetics to 'write' neural responses into V1 of behaving macaques. We focused o...
Preprint
Full-text available
Can direct stimulation of primate V1 substitute for a visual stimulus and mimic its perceptual effect? To address this question, we developed an optical-genetic toolkit to "read" neural population responses using widefield calcium imaging, while simultaneously using optogenetics to "write" neural responses into V1 of behaving macaques. We focused o...
Preprint
Full-text available
What are the neural mechanisms underlying motion integration of translating objects? Visual motion integration is generally conceived of as a feedforward, hierarchical, information processing. However, feedforward models fail to account for many contextual effects revealed using natural moving stimuli. In particular, a translating object evokes a s...
Poster
In primates, visual perception is likely to be mediated by large populations of V1 neurons organized into multiple overlaid topographic maps. The distributed and topographic nature of V1’s representations raises the possibility that in some tasks, downstream areas that decode V1 signals in order to mediate perception could combine V1 signals at the...
Article
Humans have remarkable scale-invariant visual capabilities. For example, our orientation discrimination sensitivity is largely constant over more than two orders of magnitude of variations in stimulus spatial frequency (SF). Orientation-selective V1 neurons are likely to contribute to orientation discrimination. However, because at any V1 location...
Article
Full-text available
Brain activity displays a large repertoire of dynamics across the sleep-wake cycle and even during anesthesia. It was suggested that criticality could serve as a unifying principle underlying the diversity of dynamics. This view has been supported by the observation of spontaneous bursts of cortical activity with scale-invariant sizes and durations...
Data
Loglikelihood ratios for power law and lognormal fits to size distributions of different cortical states across all cat and monkey data and for different thresholds of spike cluster definition. Negative values indicate a better lognormal fit. State differences were assessed using a one-way rm-ANOVA test (threshold 1: cat: F4,12 = 4.03, p = 0.1, ε =...
Data
Avalanche shape collapse. (A–B) Averaged temporal profile of avalanche of lifetime Δt, i.e., <S(t,Δt)>, in the Desyn I cortical state (A) and the SynSlow cortical state (B) for an example cat dataset. (C–D) Scaled avalanche profiles as a function of the scaled time t/Δt, in the Desyn I cortical state (C) and the SynSlow cortical state (D). Red line...
Data
Loglikelihood ratios for power law and lognormal fits to liftime distributions of different cortical states across all cat and monkey data and for different thresholds of spike cluster definition. Negative values indicate a better lognormal fit. State differences were assessed using a one-way rm-ANOVA test (threshold 1: cat: F4,12 = 7.45, p = 0.02,...
Data
Separation of different states within the synchronized state of the model. (A-B) Mean Fano factor (FF) for different states in cat and monkey recordings (bin-size = 100ms). Error bars indicate SEM. (C) Distribution of FFs computed for each one second segment of the modeled synchronized state (bin-size = 50ms). (D) Mean firing rate of model neurons...
Data
Spiking data from four cat and four monkey datasets. The data include the spike timings, electrode index and state information. Details can be found in the README file. (ZIP)
Data
Shape collapse and state analysis of the synchronized model state. (DOCX)
Preprint
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at each trial. Probabilistic methods are essential to understand the functional role of this variance within the neural activity. In that case, a Poisson process is the most common model of trial-to-trial variability. Fo...
Article
Full-text available
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at each trial. Probabilistic methods are essential to understand the functional role of this variance within the neural activity. In that case, a Poisson process is the most common model of trial-to-trial variability. Fo...
Working Paper
Visual motion integration in area V1 is traditionally investigated with local stimuli drifting over many cycles within a fixed aperture. However, psychophysical studies have suggested that motion signals can be optimally integrated along the trajectory of a single, translating dot. High detection performance can be explained by the propagation of i...
Article
Using observations of spiking activity in a population of neurons from macaque primary visual area, we studied simultaneously the dynamics of direction and orientation decoding. Stimuli consisted of oriented bars moving in 12 different directions, the orientation being orthogonal to the direction. Bars move from 3 degrees before to 1.5 degrees afte...
Article
Full-text available
The existence of propagating waves, either spontaneous or stimulus-evoked, in neocortex during the awake state has been a subject of recent interest [1,2]. Here, following work done previously in voltage-sensitive dye imaging of the primary visual cortex in the awake monkey [3], we apply an analysis method for non-parametric, automated detection of...

Questions

Questions (9)
Question
I want to claim in an article that our Self is a simple and unstable mental representation and not something transcending the neural computation (e.g. a Soul) as it can appear to us.
What are the best arguments and scientific proofs in support to this claim?
For example: what are the best studies showing that:
- The self is not unique and a single brain can produce multiple Selfs?
> schizophrenic patients experience multiple Selfs (we all have multiple Selfs but in these patients this appears more clearly).
> split brain patients can develop the perception of different Selfs in the two hemispheres (Graziano)
- The agency of the self is an illusion?
> For example, we may be induced to make a decision based on subliminal cues but then we would believe that the decision was made independently by the Self. Anything showing that what appear as a deliberated decision of the Self is not.
- Buddhist monks can eliminate the internal narrative of the Self through meditation and experience it as a flow of mental representations (more direct perception of the Mind).
- Anything similar to the Rubber hand illusion.
Many thanks for your help! :)
Question
I want to train a CNN to segment Ground Glass Opacities (GGO) in Lungs CT-scans.
I would need a dataset with CT scans and corresponding masks indicating for every voxel if it is GGO or not (i.e. the ground truth for the segmentation).
Do you know any dataset like that?
Many thanks for your help!!
Question
Are functional maps in the cortex used by the brain to carry out computations or are they just a byproduct of wiring minimization?
A key element to answer this question is to know if, when neurons from a cortical map project their axons to the dendrite of a downstream neuron, they retain any spatial order proportional to their location in the map.
For example, in the cartoon below, the four neurons from a cortical map (in black) project their axons to a downstream neuron's dendrite (in green). The relative spatial position of the synapses (black circles) is proportional to the relative position of the neuron in the map.
I would be very grateful if you could point me to any relevant paper addressing this question, in particular in the cortex of the primate (e.g. axon tracing experiments).
Thanks!
Question
I am looking for visual stimuli that produce a similar effect than the well know “Dalmatian dog illusion” (see Figure attached).
If you look briefly  at the Dalmatian dog illusion  for the first time, it looks like a pattern of meaningless black and white stains (left panel). However, once a priming cue is briefly presented (the red contour in the right panel) the representation of a Dalmatian dog in a field becomes apparent. Once “seen” this representation will remain apparent even after the priming cue is removed and can't be unseen (look at the left panel again without the red contour).
Do you know other types of visual stimuli containing a hidden object shape that never pops-out before and always pops-out after the transient presentation of a priming stimulus? 
Thank you!
Question
Hi,
I am interested in how subject performance are affected by the spatial frequency of the stimulus in a 2-alternative forced choice orientation discrimination task.
So far, I have found this old paper that is quite relevant in answering to this question <Burr, D. C. & Wijesundra, S.-A. Orientation discrimination depends on spatial frequency. Vision Res. 31, 1449–1452 (1991).> (I have attached one of the main figures). Interestingly, increasing the spatial frequency of the stimulus with respect to an ""optimal"" one, rapidly decreases subjects performance, while they make a pretty good job in discriminating low spatial frequencies..
I would be very grateful if you could suggest me any other relevant paper concerning this issue.
Thanks
Question
Ganglion cells in the retina have relatively small receptive fields (RF) (~1deg or less). If we assume that these neurons work as spatial filters for local contrast, we should expect that spatial frequencies (SF) stimuli lower than ~0.5cyc/deg would be hardly detected by these neurons because the local contrast within their RF is very small. However, signals with SF lower than 0.5cyc/deg are encoded by the retinal output and made accessible to higher level visual areas with wider RF (the neurons in these areas could therefore detect these kind of stimuli).
How are low spatial frequency signals transmitted then?
The simplest way would be that ganglion cells would respond not only to local contrast but also to local luminance. In this way low SF signals would be encoded in the ganglion cells output as a "place code". In other words every ganglion cell output could represent a "pixel" of the un-filtered luminance pattern projected on the retina preserving the low SF information.
Could you please suggest any sort of material addressing this question?
Thank you!
Question
Hi, 
I am looking for a paper/book chapter showing the ganglion cells receptive fields average size as a function of eccentricity in macaque retina
Thanks a lot for your help!
Giac
Question
Hi,
I have a budget of ~20.000$ and I would like to buy a system to record and stimulate (electrical micro-stimulation) from laminar electrode (i.e. Plexon U-probe http://www.plexon.com/products/plexon-u-probe). I am working with behaving macaques. At the moment I am not interested in a perfect single-neuron spike-shape isolation. 
I would be very grateful if you could suggest me any item/company.
Thank you!

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