Tuning curves are the functions that relate the responses of sensory neurons to various values within one continuous stimulus dimension (such as the orientation of a bar in the visual domain or the frequency of a tone in the auditory domain). They are commonly determined by fitting a bell-shaped curve to the measured responses. However,Lire la suite “Attentional modulation of non-tuned tuning curves”
Archives de l’étiquette : Demian
Beyond the frontiers of neural types (and monkey vocalizations !?!)
Beyond the frontiers of neuronal types Cortical neurons and, particularly, inhibitory interneurons display a large diversity of morphological, synaptic, electrophysiological, and molecular properties, as well as diverse embryonic origins. However, a broad variability is generally observed even among cells that are grouped into a same class. In our Frontiers in Neural Circuits article in collaborationLire la suite “Beyond the frontiers of neural types (and monkey vocalizations !?!)”
Sampling the “dynome” leads to dynamic Functional Connectivity
Simulations of whole-brain mean-field computational models with realistic connectivity determined by tractography studies enable us to reproduce with accuracy aspects of average Functional Connectivity (FC) in the resting state. Most computational studies, however, did not address the prominent non-stationarity in resting state FC. In our NeuroImage paper, we show that this non-stationarity reveals a richLire la suite “Sampling the “dynome” leads to dynamic Functional Connectivity”
Connectivity from calcium imaging of cultures?
In collaboration with Isabelle Guyon (Paris), Jordi Soriano (Barcelona), Javier Orlandi (Calgary) and others, we organized a machine learning Challenge on the Kaggle platform to unravel the connectivity of neuronal networks (realistic simulations, in order to know the ground truth and benchmark algorithms). The provided data was solely based on fluorescence time series of spontaneousLire la suite “Connectivity from calcium imaging of cultures?”
Broad-band gamma from highly synchronous activity?
Visual stimulation elicits neuronal responses in visual cortex. When the contrast of the used stimuli increases, the power of this induced activity is boosted over a broad frequency range (30–100 Hz), called the ‘‘gamma band.’’ However, previous models trying to explain contrast-related power enhancements using synchronous oscillations failed to reproduce the observed spectra because theyLire la suite “Broad-band gamma from highly synchronous activity?”